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authorThomas Voss <mail@thomasvoss.com> 2024-11-27 20:54:24 +0100
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+Network Working Group G. Huston
+Request for Comments: 2990 Telstra
+Category: Informational November 2000
+
+
+ Next Steps for the IP QoS Architecture
+
+Status of this Memo
+
+ This memo provides information for the Internet community. It does
+ not specify an Internet standard of any kind. Distribution of this
+ memo is unlimited.
+
+Copyright Notice
+
+ Copyright (C) The Internet Society (2000). All Rights Reserved.
+
+Abstract
+
+ While there has been significant progress in the definition of
+ Quality of Service (QoS) architectures for internet networks, there
+ are a number of aspects of QoS that appear to need further
+ elaboration as they relate to translating a set of tools into a
+ coherent platform for end-to-end service delivery. This document
+ highlights the outstanding architectural issues relating to the
+ deployment and use of QoS mechanisms within internet networks, noting
+ those areas where further standards work may assist with the
+ deployment of QoS internets.
+
+ This document is the outcome of a collaborative exercise on the part
+ of the Internet Architecture Board.
+
+Table of Contents
+
+ 1. Introduction ........................................... 2
+ 2. State and Stateless QoS ................................ 4
+ 3. Next Steps for QoS Architectures ....................... 6
+ 3.1 QoS-Enabled Applications ........................... 7
+ 3.2 The Service Environment ............................ 9
+ 3.3 QoS Discovery ...................................... 10
+ 3.4 QoS Routing and Resource Management ................ 10
+ 3.5 TCP and QoS ........................................ 11
+ 3.6 Per-Flow States and Per-Packet classifiers ......... 13
+ 3.7 The Service Set .................................... 14
+ 3.8 Measuring Service Delivery ......................... 14
+ 3.9 QoS Accounting ..................................... 15
+ 3.10 QoS Deployment Diversity .......................... 16
+ 3.11 QoS Inter-Domain signaling ........................ 17
+
+
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+ 3.12 QoS Deployment Logistics .......................... 17
+ 4. The objective of the QoS architecture .................. 18
+ 5. Towards an end-to-end QoS architecture ................. 19
+ 6. Conclusions ............................................ 21
+ 7. Security Considerations ................................ 21
+ 8. References ............................................. 22
+ 9. Acknowledgments ........................................ 23
+ 10. Author's Address ....................................... 23
+ 11. Full Copyright Statement ............................... 24
+
+1. Introduction
+
+ The default service offering associated with the Internet is
+ characterized as a best-effort variable service response. Within
+ this service profile the network makes no attempt to actively
+ differentiate its service response between the traffic streams
+ generated by concurrent users of the network. As the load generated
+ by the active traffic flows within the network varies, the network's
+ best effort service response will also vary.
+
+ The objective of various Internet Quality of Service (QoS) efforts is
+ to augment this base service with a number of selectable service
+ responses. These service responses may be distinguished from the
+ best-effort service by some form of superior service level, or they
+ may be distinguished by providing a predictable service response
+ which is unaffected by external conditions such as the number of
+ concurrent traffic flows, or their generated traffic load.
+
+ Any network service response is an outcome of the resources available
+ to service a load, and the level of the load itself. To offer such
+ distinguished services there is not only a requirement to provide a
+ differentiated service response within the network, there is also a
+ requirement to control the service-qualified load admitted into the
+ network, so that the resources allocated by the network to support a
+ particular service response are capable of providing that response
+ for the imposed load. This combination of admission control agents
+ and service management elements can be summarized as "rules plus
+ behaviors". To use the terminology of the Differentiated Service
+ architecture [4], this admission control function is undertaken by a
+ traffic conditioner (an entity which performs traffic conditioning
+ functions and which may contain meters, markers, droppers, and
+ shapers), where the actions of the conditioner are governed by
+ explicit or implicit admission control agents.
+
+ As a general observation of QoS architectures, the service load
+ control aspect of QoS is perhaps the most troubling component of the
+ architecture. While there are a wide array of well understood
+ service response mechanisms that are available to IP networks,
+
+
+
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+
+ matching a set of such mechanisms within a controlled environment to
+ respond to a set of service loads to achieve a completely consistent
+ service response remains an area of weakness within existing IP QoS
+ architectures. The control elements span a number of generic
+ requirements, including end-to-end application signaling, end-to-
+ network service signaling and resource management signaling to allow
+ policy-based control of network resources. This control may also
+ span a particular scope, and use 'edge to edge' signaling, intended
+ to support particular service responses within a defined network
+ scope.
+
+ One way of implementing this control of imposed load to match the
+ level of available resources is through an application-driven process
+ of service level negotiation (also known as application signaled
+ QoS). Here, the application first signals its service requirements
+ to the network, and the network responds to this request. The
+ application will proceed if the network has indicated that it is able
+ to carry the additional load at the requested service level. If the
+ network indicates that it cannot accommodate the service requirements
+ the application may proceed in any case, on the basis that the
+ network will service the application's data on a best effort basis.
+ This negotiation between the application and the network can take the
+ form of explicit negotiation and commitment, where there is a single
+ negotiation phase, followed by a commitment to the service level on
+ the part of the network. This application-signaled approach can be
+ used within the Integrated Services architecture, where the
+ application frames its service request within the resource
+ reservation protocol (RSVP), and then passes this request into the
+ network. The network can either respond positively in terms of its
+ agreement to commit to this service profile, or it can reject the
+ request. If the network commits to the request with a resource
+ reservation, the application can then pass traffic into the network
+ with the expectation that as long as the traffic remains within the
+ traffic load profile that was originally associated with the request,
+ the network will meet the requested service levels. There is no
+ requirement for the application to periodically reconfirm the service
+ reservation itself, as the interaction between RSVP and the network
+ constantly refreshes the reservation while it remains active. The
+ reservation remains in force until the application explicitly
+ requests termination of the reservation, or the network signals to
+ the application that it is unable to continue with a service
+ commitment to the reservation [3]. There are variations to this
+ model, including an aggregation model where a proxy agent can fold a
+ number of application-signaled reservations into a common aggregate
+ reservation along a common sub-path, and a matching deaggregator can
+ reestablish the collection of individual resource reservations upon
+ leaving the aggregate region [5]. The essential feature of this
+ Integrated Services model is the "all or nothing" nature of the
+
+
+
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+ model. Either the network commits to the reservation, in which case
+ the requestor does not have to subsequently monitor the network's
+ level of response to the service, or the network indicates that it
+ cannot meet the resource reservation.
+
+ An alternative approach to load control is to decouple the network
+ load control function from the application. This is the basis of the
+ Differentiated Services architecture. Here, a network implements a
+ load control function as part of the function of admission of traffic
+ into the network, admitting no more traffic within each service
+ category as there are assumed to be resources in the network to
+ deliver the intended service response. Necessarily there is some
+ element of imprecision in this function given that traffic may take
+ an arbitrary path through the network. In terms of the interaction
+ between the network and the application, this takes the form of a
+ service request without prior negotiation, where the application
+ requests a particular service response by simply marking each packet
+ with a code to indicate the desired service. Architecturally, this
+ approach decouples the end systems and the network, allowing a
+ network to implement an active admission function in order to
+ moderate the workload that is placed upon the network's resources
+ without specific reference to individual resource requests from end
+ systems. While this decoupling of control allows a network's
+ operator greater ability to manage its resources and a greater
+ ability to ensure the integrity of its services, there is a greater
+ potential level of imprecision in attempting to match applications'
+ service requirements to the network's service capabilities.
+
+2. State and Stateless QoS
+
+ These two approaches to load control can be characterized as state-
+ based and stateless approaches respectively.
+
+ The architecture of the Integrated Services model equates the
+ cumulative sum of honored service requests to the current reserved
+ resource levels of the network. In order for a resource reservation
+ to be honored by the network, the network must maintain some form of
+ remembered state to describe the resources that have been reserved,
+ and the network path over which the reserved service will operate.
+ This is to ensure integrity of the reservation. In addition, each
+ active network element within the network path must maintain a local
+ state that allows incoming IP packets to be correctly classified into
+ a reservation class. This classification allows the packet to be
+ placed into a packet flow context that is associated with an
+ appropriate service response consistent with the original end-to-end
+ service reservation. This local state also extends to the function
+
+
+
+
+
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+ of metering packets for conformance on a flow-by-flow basis, and the
+ additional overheads associated with maintenance of the state of each
+ of these meters.
+
+ In the second approach, that of a Differentiated Services model, the
+ packet is marked with a code to trigger the appropriate service
+ response from the network elements that handles the packet, so that
+ there is no strict requirement to install a per-reservation state on
+ these network elements. Also, the end application or the service
+ requestor is not required to provide the network with advance notice
+ relating to the destination of the traffic, nor any indication of the
+ intended traffic profile or the associated service profile. In the
+ absence of such information any form of per-application or per-path
+ resource reservation is not feasible. In this model there is no
+ maintained per-flow state within the network.
+
+ The state-based Integrated Services architectural model admits the
+ potential to support greater level of accuracy, and a finer level of
+ granularity on the part of the network to respond to service
+ requests. Each individual application's service request can be used
+ to generate a reservation state within the network that is intended
+ to prevent the resources associated with the reservation to be
+ reassigned or otherwise preempted to service other reservations or to
+ service best effort traffic loads. The state-based model is intended
+ to be exclusionary, where other traffic is displaced in order to meet
+ the reservation's service targets.
+
+ As noted in RFC2208 [2], there are several areas of concern about the
+ deployment of this form of service architecture. With regard to
+ concerns of per-flow service scalability, the resource requirements
+ (computational processing and memory consumption) for running per-
+ flow resource reservations on routers increase in direct proportion
+ to the number of separate reservations that need to be accommodated.
+ By the same token, router forwarding performance may be impacted
+ adversely by the packet-classification and scheduling mechanisms
+ intended to provide differentiated services for these resource-
+ reserved flows. This service architecture also poses some challenges
+ to the queuing mechanisms, where there is the requirement to allocate
+ absolute levels of egress bandwidth to individual flows, while still
+ supporting an unmanaged low priority best effort traffic class.
+
+ The stateless approach to service management is more approximate in
+ the nature of its outcomes. Here there is no explicit negotiation
+ between the application's signaling of the service request and the
+ network's capability to deliver a particular service response. If
+ the network is incapable of meeting the service request, then the
+ request simply will not be honored. In such a situation there is no
+ requirement for the network to inform the application that the
+
+
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+ request cannot be honored, and it is left to the application to
+ determine if the service has not been delivered. The major attribute
+ of this approach is that it can possess excellent scaling properties
+ from the perspective of the network. If the network is capable of
+ supporting a limited number of discrete service responses, and the
+ routers uses per-packet marking to trigger the service response, then
+ the processor and memory requirements in each router do not increase
+ in proportion to the level of traffic passed through the router. Of
+ course this approach does introduce some degree of compromise in that
+ the service response is more approximate as seen by the end client,
+ and scaling the number of clients and applications in such an
+ environment may not necessarily result in a highly accurate service
+ response to every client's application.
+
+ It is not intended to describe these service architectures in further
+ detail within this document. The reader is referred to RFC1633 [3]
+ for an overview of the Integrated Services Architecture (IntServ) and
+ RFC2475 [4] for an overview of the Differentiated Services
+ architecture (DiffServ).
+
+ These two approaches are the endpoints of what can be seen as a
+ continuum of control models, where the fine-grained precision of the
+ per application invocation reservation model can be aggregated into
+ larger, more general and potentially more approximate aggregate
+ reservation states, and the end-to-end element-by-element reservation
+ control can be progressively approximated by treating a collection of
+ subnetworks or an entire transit network as an aggregate service
+ element. There are a number of work in progress efforts which are
+ directed towards these aggregated control models, including
+ aggregation of RSVP [5], the RSVP DCLASS Object [6] to allow
+ Differentiated Services Code Points (DSCPs) to be carried in RSVP
+ message objects, and operation of Integrated Services over
+ Differentiated Services networks [7].
+
+3. Next Steps for QoS Architectures
+
+ Both the Integrated Services architecture and the Differentiated
+ Services architecture have some critical elements in terms of their
+ current definition which appear to be acting as deterrents to
+ widespread deployment. Some of these issues will probably be
+ addressed within the efforts to introduce aggregated control and
+ response models into these QoS architectures, while others may
+ require further refinement through standards-related activities.
+
+
+
+
+
+
+
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+3.1 QoS-Enabled Applications
+
+ One of the basic areas of uncertainty with QoS architectures is
+ whether QoS is a per-application service, whether QoS is a
+ transport-layer option, or both. Per-application services have
+ obvious implications of extending the QoS architecture into some form
+ of Application Protocol Interface (API), so that applications could
+ negotiate a QoS response from the network and alter their behavior
+ according to the outcome of the response. Examples of this approach
+ include GQOS [8], and RAPI [9]. As a transport layer option, it
+ could be envisaged that any application could have its traffic
+ carried by some form of QoS-enabled network services by changing the
+ host configuration, or by changing the configuration at some other
+ network control point, without making any explicit changes to the
+ application itself. The strength of the transport layer approach is
+ that there is no requirement to substantially alter application
+ behavior, as the application is itself unaware of the
+ administratively assigned QoS. The weakness of this approach is that
+ the application is unable to communicate what may be useful
+ information to the network or to the policy systems that are managing
+ the network's service responses. In the absence of such information
+ the network may provide a service response that is far superior than
+ the application's true requirements, or far inferior than what is
+ required for the application to function correctly. An additional
+ weakness of a transport level approach refers to those class of
+ applications that can adapt their traffic profile to meet the
+ available resources within the network. As a transport level
+ mechanism, such network availability information as may be available
+ to the transport level is not passed back to the application.
+
+ In the case of the Integrated Services architecture, this transport
+ layer approach does not appear to be an available option, as the
+ application does require some alteration to function correctly in
+ this environment. The application must be able to provide to the
+ service reservation module a profile of its anticipated traffic, or
+ in other words the application must be able to predict its traffic
+ load. In addition, the application must be able to share the
+ reservation state with the network, so that if the network state
+ fails, the application can be informed of the failure. The more
+ general observation is that a network can only formulate an accurate
+ response to an application's requirements if the application is
+ willing to offer precise statement of its traffic profile, and is
+ willing to be policed in order to have its traffic fit within this
+ profile.
+
+ In the case of the Differentiated Services architecture there is no
+ explicit provision for the application to communicate with the
+ network regarding service levels. This does allow the use of a
+
+
+
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+ transport level option within the end system that does not require
+ explicit alteration of the application to mark its generated traffic
+ with one of the available Differentiated Services service profiles.
+ However, whether the application is aware of such service profiles or
+ not, there is no level of service assurance to the application in
+ such a model. If the Differentiated Services boundary traffic
+ conditioners enter a load shedding state, the application is not
+ signaled of this condition, and is not explicitly aware that the
+ requested service response is not being provided by the network. If
+ the network itself changes state and is unable to meet the cumulative
+ traffic loads admitted by the ingress traffic conditioners, neither
+ the ingress traffic conditioners, nor the client applications, are
+ informed of this failure to maintain the associated service quality.
+ While there is no explicit need to alter application behavior in this
+ architecture, as the basic DiffServ mechanism is one that is managed
+ within the network itself, the consequence is that an application may
+ not be aware whether a particular service state is being delivered to
+ the application.
+
+ There is potential in using an explicit signaling model, such as used
+ by IntServ, but carrying a signal which allows the network to manage
+ the application's traffic within an aggregated service class [6].
+ Here the application does not pass a complete picture of its intended
+ service profile to the network, but instead is providing some level
+ of additional information to the network to assist in managing its
+ resources, both in terms of the generic service class that the
+ network can associate with the application's traffic, and the
+ intended path of the traffic through the network.
+
+ An additional factor for QoS enabled applications is that of receiver
+ capability negotiation. There is no value in the sender establishing
+ a QoS-enabled path across a network to the receiver if the receiver
+ is incapable of absorbing the consequent data flow. This implies
+ that QoS enabled applications also require some form of end-to-end
+ capability negotiation, possibly through a generic protocol to allow
+ the sender to match its QoS requirements to the minimum of the flow
+ resources that can be provided by the network and the flow resources
+ that can be processed by the receiver. In the case of the Integrated
+ services architecture the application end-to-end interaction can be
+ integrated into the RSVP negotiation. In the case of the
+ Differentiated Services architecture there is no clear path of
+ integrating such receiver control into the signaling model of the
+ architecture as it stands.
+
+ If high quality services are to be provided, where `high quality' is
+ implied as being `high precision with a fine level of granularity',
+ then the implication is that all parts of the network that may be
+ involved with servicing the request either have to be over-
+
+
+
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+
+ provisioned such that no load state can compromise the service
+ quality, or the network element must undertake explicit allocation of
+ resources to each flow that is associated with each service request.
+
+ For end-to-end service delivery it does appear that QoS architectures
+ will need to extend to the level of the application requesting the
+ service profile. It appears that further refinement of the QoS
+ architecture is required to integrate DiffServ network services into
+ an end-to-end service delivery model, as noted in [7].
+
+3.2 The Service Environment
+
+ The outcome of the considerations of these two approaches to QoS
+ architecture within the network is that there appears to be no single
+ comprehensive service environment that possesses both service
+ accuracy and scaling properties.
+
+ The maintained reservation state of the Integrated Services
+ architecture and the end-to-end signaling function of RSVP are part
+ of a service management architecture, but it is not cost effective,
+ or even feasible, to operate a per-application reservation and
+ classification state across the high speed core of a network [2].
+
+ While the aggregated behavior state of the Differentiated Services
+ architecture does offer excellent scaling properties, the lack of
+ end-to-end signaling facilities makes such an approach one that
+ cannot operate in isolation within any environment. The
+ Differentiated Services architecture can be characterized as a
+ boundary-centric operational model. With this boundary-centric
+ architecture, the signaling of resource availability from the
+ interior of the network to the boundary traffic conditioners is not
+ defined, nor is the signaling from the traffic conditioners to the
+ application that is resident on the end system. This has been noted
+ as an additional work item in the IntServ operations over DiffServ
+ work, concerning "definition of mechanisms to efficiently and
+ dynamically provision resources in a DiffServ network region". This
+ might include protocols by which an "oracle" (...) conveys
+ information about resource availability within a DiffServ region to
+ border routers." [7]
+
+ What appears to be required within the Differentiated Services
+ service model is both resource availability signaling from the core
+ of the network to the DiffServ boundary and some form of signaling
+ from the boundary to the client application.
+
+
+
+
+
+
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+3.3 QoS Discovery
+
+ There is no robust mechanism for network path discovery with specific
+ service performance attributes. The assumption within both IntServ
+ and DiffServ architectures is that the best effort routing path is
+ used, where the path is either capable of sustaining the service
+ load, or not.
+
+ Assuming that the deployment of service differentiating
+ infrastructure will be piecemeal, even if only in the initial stages
+ of a QoS rollout, such an assumption may be unwarranted. If this is
+ the case, then how can a host application determine if there is a
+ distinguished service path to the destination? No existing
+ mechanisms exist within either of these architectures to query the
+ network for the potential to support a specific service profile. Such
+ a query would need to examine a number of candidate paths, rather
+ than simply examining the lowest metric routing path, so that this
+ discovery function is likely to be associated with some form of QoS
+ routing functionality.
+
+ From this perspective, there is still further refinement that may be
+ required in the model of service discovery and the associated task of
+ resource reservation.
+
+3.4 QoS Routing and Resource Management
+
+ To date QoS routing has been developed at some distance from the task
+ of development of QoS architectures. The implicit assumption within
+ the current QoS architectural models is that the routing best effort
+ path will be used for both best effort traffic and distinguished
+ service traffic.
+
+ There is no explicit architectural option to allow the network
+ service path to be aligned along other than the single best routing
+ metric path, so that available network resources can be efficiently
+ applied to meet service requests. Considerations of maximizing
+ network efficiency would imply that some form of path selection is
+ necessary within a QoS architecture, allowing the set of service
+ requirements to be optimally supported within the network's aggregate
+ resource capability.
+
+ In addition to path selection, SPF-based interior routing protocols
+ allow for the flooding of link metric information across all network
+ elements. This mechanism appears to be a productive direction to
+ provide the control-level signaling between the interior of the
+ network and the network admission elements, allowing the admission
+
+
+
+
+
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+ systems to admit traffic based on current resource availability
+ rather than on necessarily conservative statically defined admission
+ criteria.
+
+ There is a more fundamental issue here concerning resource management
+ and traffic engineering. The approach of single path selection with
+ static load characteristics does not match a networked environment
+ which contains a richer mesh of connectivity and dynamic load
+ characteristics. In order to make efficient use of a rich
+ connectivity mesh, it is necessary to be able to direct traffic with
+ a common ingress and egress point across a set of available network
+ paths, spreading the load across a broader collection of network
+ links. At its basic form this is essentially a traffic engineering
+ problem. To support this function it is necessary to calculate per-
+ path dynamic load metrics, and allow the network's ingress system the
+ ability to distribute incoming traffic across these paths in
+ accordance with some model of desired traffic balance. To apply this
+ approach to a QoS architecture would imply that each path has some
+ form of vector of quality attributes, and incoming traffic is
+ balanced across a subset of available paths where the quality
+ attribute of the traffic is matched with the quality vector of each
+ available path. This augmentation to the semantics of the traffic
+ engineering is matched by a corresponding shift in the calculation
+ and interpretation of the path's quality vector. In this approach
+ what needs to be measured is not the path's resource availability
+ level (or idle proportion), but the path's potential to carry
+ additional traffic at a certain level of quality. This potential
+ metric is one that allows existing lower priority traffic to be
+ displaced to alternative paths. The path's quality metric can be
+ interpreted as a metric describing the displacement capability of the
+ path, rather than a resource availability metric.
+
+ This area of active network resource management, coupled with dynamic
+ network resource discovery, and the associated control level
+ signaling to network admission systems appears to be a topic for
+ further research at this point in time.
+
+3.5 TCP and QoS
+
+ A congestion-managed rate-adaptive traffic flow (such as used by TCP)
+ uses the feedback from the ACK packet stream to time subsequent data
+ transmissions. The resultant traffic flow rate is an outcome of the
+ service quality provided to both the forward data packets and the
+ reverse ACK packets. If the ACK stream is treated by the network
+ with a different service profile to the outgoing data packets, it
+ remains an open question as to what extent will the data forwarding
+ service be compromised in terms of achievable throughput. High rates
+ of jitter on the ACK stream can cause ACK compression, that in turn
+
+
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+ will cause high burst rates on the subsequent data send. Such bursts
+ will stress the service capacity of the network and will compromise
+ TCP throughput rates.
+
+ One way to address this is to use some form of symmetric service,
+ where the ACK packets are handled using the same service class as the
+ forward data packets. If symmetric service profiles are important
+ for TCP sessions, how can this be structured in a fashion that does
+ not incorrectly account for service usage? In other words, how can
+ both directions of a TCP flow be accurately accounted to one party?
+
+ Additionally, there is the interaction between the routing system and
+ the two TCP data flows. The Internet routing architecture does not
+ intrinsically preserve TCP flow symmetry, and the network path taken
+ by the forward packets of a TCP session may not exactly correspond to
+ the path used by the reverse packet flow.
+
+ TCP also exposes an additional performance constraint in the manner
+ of the traffic conditioning elements in a QoS-enabled network.
+ Traffic conditioners within QoS architectures are typically specified
+ using a rate enforcement mechanism of token buckets. Token bucket
+ traffic conditioners behave in a manner that is analogous to a First
+ In First Out queue. Such traffic conditioning systems impose tail
+ drop behavior on TCP streams. This tail drop behavior can produce
+ TCP timeout retransmission, unduly penalizing the average TCP goodput
+ rate to a level that may be well below the level specified by the
+ token bucket traffic conditioner. Token buckets can be considered as
+ TCP-hostile network elements.
+
+ The larger issue exposed in this consideration is that provision of
+ some form of assured service to congestion-managed traffic flows
+ requires traffic conditioning elements that operate using weighted
+ RED-like control behaviors within the network, with less
+ deterministic traffic patterns as an outcome. A requirement to
+ manage TCP burst behavior through token bucket control mechanisms is
+ most appropriately managed in the sender's TCP stack.
+
+ There are a number of open areas in this topic that would benefit
+ from further research. The nature of the interaction between the
+ end-to-end TCP control system and a collection of service
+ differentiation mechanisms with a network is has a large number of
+ variables. The issues concern the time constants of the control
+ systems, the amplitude of feedback loops, and the extent to which
+ each control system assumes an operating model of other active
+ control systems that are applied to the same traffic flow, and the
+ mode of convergence to a stable operational state for each control
+ system.
+
+
+
+
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+
+3.6 Per-Flow States and Per-Packet classifiers
+
+ Both the IntServ and DiffServ architectures use packet classifiers as
+ an intrinsic part of their architecture. These classifiers can be
+ considered as coarse or fine level classifiers. Fine-grained
+ classifiers can be considered as classifiers that attempt to isolate
+ elements of traffic from an invocation of an application (a `micro-
+ flow') and use a number of fields in the IP packet header to assist
+ in this, typically including the source and destination IP addresses
+ and source and source and destination port addresses. Coarse-grained
+ classifiers attempt to isolate traffic that belongs to an aggregated
+ service state, and typically use the DiffServ code field as the
+ classifying field. In the case of DiffServ there is the potential to
+ use fine-grained classifiers as part of the network ingress element,
+ and coarse-gained classifiers within the interior of the network.
+
+ Within flow-sensitive IntServ deployments, every active network
+ element that undertakes active service discrimination is requirement
+ to operate fine-grained packet classifiers. The granularity of the
+ classifiers can be relaxed with the specification of aggregate
+ classifiers [5], but at the expense of the precision and accuracy of
+ the service response.
+
+ Within the IntServ architecture the fine-grained classifiers are
+ defined to the level of granularity of an individual traffic flow,
+ using the packet's 5-tuple of (source address, destination address,
+ source port, destination port, protocol) as the means to identify an
+ individual traffic flow. The DiffServ Multi-Field (MF) classifiers
+ are also able to use this 5-tuple to map individual traffic flows
+ into supported behavior aggregates.
+
+ The use of IPSEC, NAT and various forms of IP tunnels result in a
+ occlusion of the flow identification within the IP packet header,
+ combining individual flows into a larger aggregate state that may be
+ too coarse for the network's service policies. The issue with such
+ mechanisms is that they may occur within the network path in a
+ fashion that is not visible to the end application, compromising the
+ ability for the application to determine whether the requested
+ service profile is being delivered by the network. In the case of
+ IPSEC there is a proposal to carry the IPSEC Security Parameter Index
+ (SPI) in the RSVP object [10], as a surrogate for the port addresses.
+ In the case of NAT and various forms of IP tunnels, there appears to
+ be no coherent way to preserve fine-grained classification
+ characteristics across NAT devices, or across tunnel encapsulation.
+
+ IP packet fragmentation also affects the ability of the network to
+ identify individual flows, as the trailing fragments of the IP packet
+ will not include the TCP or UDP port address information. This admits
+
+
+
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+
+ the possibility of trailing fragments of a packet within a
+ distinguished service class being classified into the base best
+ effort service category, and delaying the ultimate delivery of the IP
+ packet to the destination until the trailing best effort delivered
+ fragments have arrived.
+
+ The observation made here is that QoS services do have a number of
+ caveats that should be placed on both the application and the
+ network. Applications should perform path MTU discovery in order to
+ avoid packet fragmentation. Deployment of various forms of payload
+ encryption, header address translation and header encapsulation
+ should be undertaken with due attention to their potential impacts on
+ service delivery packet classifiers.
+
+3.7 The Service Set
+
+ The underlying question posed here is how many distinguished service
+ responses are adequate to provide a functionally adequate range of
+ service responses?
+
+ The Differentiated Services architecture does not make any limiting
+ restrictions on the number of potential services that a network
+ operator can offer. The network operator may be limited to a choice
+ of up to 64 discrete services in terms of the 6 bit service code
+ point in the IP header but as the mapping from service to code point
+ can be defined by each network operator, there can be any number of
+ potential services.
+
+ As always, there is such a thing as too much of a good thing, and a
+ large number of potential services leads to a set of issues around
+ end-to-end service coherency when spanning multiple network domains.
+ A small set of distinguished services can be supported across a large
+ set of service providers by equipment vendors and by application
+ designers alike. An ill-defined large set of potential services
+ often serves little productive purpose. This does point to a
+ potential refinement of the QoS architecture to define a small core
+ set of service profiles as "well-known" service profiles, and place
+ all other profiles within a "private use" category.
+
+3.8 Measuring Service Delivery
+
+ There is a strong requirement within any QoS architecture for network
+ management approaches that provide a coherent view of the operating
+ state of the network. This differs from a conventional element-by-
+ element management view of the network in that the desire here is to
+ be able to provide a view of the available resources along a
+
+
+
+
+
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+
+ particular path within a network, and map this view to an admission
+ control function which can determine whether to admit a service
+ differentiated flow along the nominated network path.
+
+ As well as managing the admission systems through resource
+ availability measurement, there is a requirement to be able to
+ measure the operating parameters of the delivered service. Such
+ measurement methodologies are required in order to answer the
+ question of how the network operator provides objective measurements
+ to substantiate the claim that the delivered service quality
+ conformed to the service specifications. Equally, there is a
+ requirement for a measurement methodology to allow the client to
+ measure the delivered service quality so that any additional expense
+ that may be associated with the use of premium services can be
+ justified in terms of superior application performance.
+
+ Such measurement methodologies appear to fall within the realm of
+ additional refinement to the QoS architecture.
+
+3.9 QoS Accounting
+
+ It is reasonable to anticipate that such forms of premium service and
+ customized service will attract an increment on the service tariff.
+ The provision of a distinguished service is undertaken with some
+ level of additional network resources to support the service, and the
+ tariff premium should reflect this altered resource allocation. Not
+ only does such an incremental tariff shift the added cost burden to
+ those clients who are requesting a disproportionate level of
+ resources, but it provides a means to control the level of demand for
+ premium service levels.
+
+ If there are to be incremental tariffs on the use of premium
+ services, then some accounting of the use of the premium service
+ would appear to be necessary relating use of the service to a
+ particular client. So far there is no definition of such an
+ accounting model nor a definition as to how to gather the data to
+ support the resource accounting function.
+
+ The impact of this QoS service model may be quite profound to the
+ models of Internet service provision. The commonly adopted model in
+ both the public internet and within enterprise networks is that of a
+ model of access, where the clients service tariff is based on the
+ characteristics of access to the services, rather than that of the
+ actual use of the service. The introduction of QoS services creates
+ a strong impetus to move to usage-based tariffs, where the tariff is
+ based on the level of use of the network's resources. This, in turn,
+ generates a requirement to meter resource use, which is a form of
+ usage accounting. This topic was been previously studied within the
+
+
+
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+
+
+ IETF under the topic of "Internet Accounting" [11], and further
+ refinement of the concepts used in this model, as they apply to QoS
+ accounting may prove to be a productive initial step in formulating a
+ standards-based model for QoS accounting.
+
+3.10 QoS Deployment Diversity
+
+ It is extremely improbable that any single form of service
+ differentiation technology will be rolled out across the Internet and
+ across all enterprise networks.
+
+ Some networks will deploy some form of service differentiation
+ technology while others will not. Some of these service platforms
+ will interoperate seamlessly and other less so. To expect all
+ applications, host systems, network routers, network policies, and
+ inter-provider arrangements to coalesce into a single homogeneous
+ service environment that can support a broad range of service
+ responses is an somewhat unlikely outcome given the diverse nature of
+ the available technologies and industry business models. It is more
+ likely that we will see a number of small scale deployment of service
+ differentiation mechanisms and some efforts to bridge these
+ environments together in some way.
+
+ In this heterogeneous service environment the task of service
+ capability discovery is as critical as being able to invoke service
+ responses and measure the service outcomes. QoS architectures will
+ need to include protocol capabilities in supporting service discovery
+ mechanisms.
+
+ In addition, such a heterogeneous deployment environment will create
+ further scaling pressure on the operational network as now there is
+ an additional dimension to the size of the network. Each potential
+ path to each host is potentially qualified by the service
+ capabilities of the path. While one path may be considered as a
+ candidate best effort path, another path may offer a more precise
+ match between the desired service attributes and the capabilities of
+ the path to sustain the service. Inter-domain policy also impacts
+ upon this path choice, where inter-domain transit agreements may
+ specifically limit the types and total level of quality requests than
+ may be supported between the domains. Much of the brunt of such
+ scaling pressures will be seen in the inter-domain and intra-domain
+ routing domain where there are pressures to increase the number of
+ attributes of a routing entry, and also to use the routing protocol
+ in some form of service signaling role.
+
+
+
+
+
+
+
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+
+3.11 QoS Inter-Domain signaling
+
+ QoS Path selection is both an intra-domain (interior) and an inter-
+ domain (exterior) issue. Within the inter-domain space, the current
+ routing technologies allow each domain to connect to a number of
+ other domains, and to express its policies with respect to received
+ traffic in terms of inter-domain route object attributes.
+ Additionally, each domain may express its policies with respect to
+ sending traffic through the use of boundary route object filters,
+ allowing a domain to express its preference for selecting one
+ domain's advertised routes over another. The inter-domain routing
+ space is a state of dynamic equilibrium between these various route
+ policies.
+
+ The introduction of differentiated services adds a further dimension
+ to this policy space. For example, while a providers may execute an
+ interconnection agreement with one party to exchange best effort
+ traffic, it may execute another agreement with a second party to
+ exchange service qualified traffic. The outcome of this form of
+ interconnection is that the service provider will require external
+ route advertisements to be qualified by the accepted service
+ profiles. Generalizing from this scenario, it is reasonable to
+ suggest that we will require the qualification of routing
+ advertisements with some form of service quality attributes. This
+ implies that we will require some form of quality vector-based
+ forwarding function, at least in the inter-domain space, and some
+ associated routing protocol can pass a quality of service vector in
+ an operationally stable fashion.
+
+ The implication of this requirement is that the number of objects
+ being managed by routing systems must expand dramatically, as the
+ size and number of objects managed within the routing domain
+ increases, and the calculation of a dynamic equilibrium of import and
+ export policies between interconnected providers will also be subject
+ to the same level of scaling pressure.
+
+ This has implications within the inter-domain forwarding space as
+ well, as the forwarding decision in such a services differentiated
+ environment is then qualified by some form of service quality vector.
+ This is required in order to pass exterior traffic to the appropriate
+ exterior interconnection gateway.
+
+3.12 QoS Deployment Logistics
+
+ How does the widespread deployment of service-aware networks
+ commence? Which gets built first - host applications or network
+ infrastructure?
+
+
+
+
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+
+ No network operator will make the significant investment in
+ deployment and support of distinguished service infrastructure unless
+ there is a set of clients and applications available to make
+ immediate use of such facilities. Clients will not make the
+ investment in enhanced services unless they see performance gains in
+ applications that are designed to take advantage of such enhanced
+ services. No application designer will attempt to integrate service
+ quality features into the application unless there is a model of
+ operation supported by widespread deployment that makes the
+ additional investment in application complexity worthwhile and
+ clients who are willing to purchase such applications. With all
+ parts of the deployment scenario waiting for the others to move,
+ widespread deployment of distinguished services may require some
+ other external impetus.
+
+ Further aspects of this deployment picture lie in the issues of
+ network provisioning and the associated task of traffic engineering.
+ Engineering a network to meet the demands of best effort flows
+ follows a well understood pattern of matching network points of user
+ concentrations to content delivery network points with best effort
+ paths. Integrating QoS-mediated traffic engineering into the
+ provisioning model suggests a provisioning requirement that also
+ requires input from a QoS demand model.
+
+4. The objective of the QoS architecture
+
+ What is the precise nature of the problem that QoS is attempting to
+ solve? Perhaps this is one of the more fundamental questions
+ underlying the QoS effort, and the diversity of potential responses
+ is a pointer to the breadth of scope of the QoS effort.
+
+ All of the following responses form a part of the QoS intention:
+
+ - To control the network service response such that the response
+ to a specific service element is consistent and predictable.
+
+ - To control the network service response such that a service
+ element is provided with a level of response equal to or above a
+ guaranteed minimum.
+
+ - To allow a service element to establish in advance the service
+ response that can or will be obtained from the network.
+
+ - To control the contention for network resources such that a
+ service element is provided with a superior level of network
+ resource.
+
+
+
+
+
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+ - To control the contention for network resources such that a
+ service element does not obtain an unfair allocation of
+ resources (to some definition of 'fairness').
+
+ - To allow for efficient total utilization of network resources
+ while servicing a spectrum of directed network service outcomes.
+
+ Broadly speaking, the first three responses can be regarded as
+ 'application-centric', and the latter as 'network-centric'. It is
+ critical to bear in mind that none of these responses can be
+ addressed in isolation within any effective QoS architecture. Within
+ the end-to-end architectural model of the Internet, applications make
+ minimal demands on the underlying IP network. In the case of TCP,
+ the protocol uses an end-to-end control signal approach to
+ dynamically adjust to the prevailing network state. QoS
+ architectures add a somewhat different constraint, in that the
+ network is placed in an active role within the task of resource
+ allocation and service delivery, rather than being a passive object
+ that requires end systems to adapt.
+
+5. Towards an end-to-end QoS architecture
+
+ The challenge facing the QoS architecture lies in addressing the
+ weaknesses noted above, and in integrating the various elements of
+ the architecture into a cohesive whole that is capable of sustaining
+ end-to-end service models across a wide diversity of internet
+ platforms. It should be noted that such an effort may not
+ necessarily result in a single resultant architecture, and that it is
+ possible to see a number of end-to-end approaches based on different
+ combinations of the existing components.
+
+ One approach is to attempt to combine both architectures into an
+ end-to-end model, using IntServ as the architecture which allows
+ applications to interact with the network, and DiffServ as the
+ architecture to manage admission the network's resources [7]. In
+ this approach, the basic tension that needs to be resolved lies in
+ difference between the per-application view of the IntServ
+ architecture and the network boundary-centric view of the DiffServ
+ architecture.
+
+ One building block for such an end-to-end service architecture is a
+ service signaling protocol. The RSVP signaling protocol can address
+ the needs of applications that require a per-service end-to-end
+ service signaling environment. The abstracted model of RSVP is that
+ of a discovery signaling protocol that allows an application to use a
+ single transaction to communicate its service requirements to both
+ the network and the remote party, and through the response mechanism,
+ to allow these network elements to commit to the service
+
+
+
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+
+
+ requirements. The barriers to deployment for this model lie in an
+ element-by element approach to service commitment, implying that each
+ network element must undertake some level of signaling and processing
+ as dictated by this imposed state. For high precision services this
+ implies per-flow signaling and per-flow processing to support this
+ service model. This fine-grained high precision approach to service
+ management is seen as imposing an unacceptable level of overhead on
+ the central core elements of large carrier networks.
+
+ The DiffServ approach uses a model of abstraction which attempts to
+ create an external view of a compound network as a single subnetwork.
+ From this external perspective the network can be perceived as two
+ boundary service points, ingress and egress. The advantage of this
+ approach is that there exists the potential to eliminate the
+ requirement for per-flow state and per-flow processing on the
+ interior elements of such a network, and instead provide aggregate
+ service responses.
+
+ One approach is for applications to use RSVP to request that their
+ flows be admitted into the network. If a request is accepted, it
+ would imply that there is a committed resource reservation within the
+ IntServ-capable components of the network, and that the service
+ requirements have been mapped into a compatible aggregate service
+ class within the DiffServ-capable network [7]. The DiffServ core
+ must be capable of carrying the RSVP messages across the DiffServ
+ network, so that further resource reservation is possible within the
+ IntServ network upon egress from the DiffServ environment. The
+ approach calls for the DiffServ network to use per-flow multi-field
+ (MF) classifier, where the MF classification is based on the RSVP-
+ signaled flow specification. The service specification of the RSVP-
+ signaled resource reservation is mapped into a compatible aggregate
+ DiffServ behavior aggregate and the MF classifier marks packets
+ according to the selected behavior. Alternatively the boundary of
+ the IntServ and DiffServ networks can use the IntServ egress to mark
+ the flow packets with the appropriate DSCP, allowing the DiffServ
+ ingress element to use the BA classifier, and dispense with the per-
+ flow MF classifier.
+
+ A high precision end-to-end QoS model requires that any admission
+ failure within the DiffServ network be communicated to the end
+ application, presumably via RSVP. This allows the application to
+ take some form of corrective action, either by modifying it's service
+ requirements or terminating the application. If the service
+ agreement between the DiffServ network is statically provisioned,
+ then this static information can be loaded into the IntServ boundary
+ systems, and IntServ can manage the allocation of available DiffServ
+ behavior aggregate resources. If the service agreement is
+
+
+
+
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+ dynamically variable, some form of signaling is required between the
+ two networks to pass this resource availability information back into
+ the RSVP signaling environment.
+
+6. Conclusions
+
+ None of these observations are intended to be any reason to condemn
+ the QoS architectures as completely impractical, nor are they
+ intended to provide any reason to believe that the efforts of
+ deploying QoS architectures will not come to fruition.
+
+ What this document is intended to illustrate is that there are still
+ a number of activities that are essential precursors to widespread
+ deployment and use of such QoS networks, and that there is a need to
+ fill in the missing sections with something substantial in terms of
+ adoption of additional refinements to the existing QoS model.
+
+ The architectural direction that appears to offer the most promising
+ outcome for QoS is not one of universal adoption of a single
+ architecture, but instead use a tailored approach where aggregated
+ service elements are used in the core of a network where scalability
+ is a major design objective and use per-flow service elements at the
+ edge of the network where accuracy of the service response is a
+ sustainable outcome.
+
+ Architecturally, this points to no single QoS architecture, but
+ rather to a set of QoS mechanisms and a number of ways these
+ mechanisms can be configured to interoperate in a stable and
+ consistent fashion.
+
+7. Security Considerations
+
+ The Internet is not an architecture that includes a strict
+ implementation of fairness of access to the common transmission and
+ switching resource. The introduction of any form of fairness, and,
+ in the case of QoS, weighted fairness, implies a requirement for
+ transparency in the implementation of the fairness contract between
+ the network provider and the network's users. This requires some
+ form of resource accounting and auditing, which, in turn, requires
+ the use of authentication and access control. The balancing factor
+ is that a shared resource should not overtly expose the level of
+ resource usage of any one user to any other, so that some level of
+ secrecy is required in this environment
+
+ The QoS environment also exposes the potential of theft of resources
+ through the unauthorized admission of traffic with an associated
+ service profile. QoS signaling protocols which are intended to
+
+
+
+
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+
+
+ undertake resource management and admission control require the use
+ of identity authentication and integrity protection in order to
+ mitigate this potential for theft of resources.
+
+ Both forms of QoS architecture require the internal elements of the
+ network to be able to undertake classification of traffic based on
+ some form of identification that is carried in the packet header in
+ the clear. Classifications systems that use multi-field specifiers,
+ or per-flow specifiers rely on the carriage of end-to-end packet
+ header fields being carried in the clear. This has conflicting
+ requirements for security architectures that attempt to mask such
+ end-to-end identifiers within an encrypted payload.
+
+ QoS architectures can be considered as a means of exerting control
+ over network resource allocation. In the event of a rapid change in
+ resource availability (e.g. disaster) it is an undesirable outcome if
+ the remaining resources are completely allocated to a single class of
+ service to the exclusion of all other classes. Such an outcome
+ constitutes a denial of service, where the traffic control system
+ (routing) selects paths that are incapable of carrying any traffic of
+ a particular service class.
+
+8. References
+
+ [1] Bradner, S., "The Internet Standards Process- Revision 3", BCP
+ 9, RFC 2026, October 1996.
+
+ [2] Mankin, A., Baker, F., Braden, R., O'Dell, M., Romanow, A.,
+ Weinrib, A. and L. Zhang, "Resource ReSerVation Protocol (RSVP)
+ Version 1 Applicability Statement", RFC 2208, September 1997.
+
+ [3] Braden. R., Clark, D. and S. Shenker, "Integrated Services in
+ the Internet Architecture: an Overview", RFC 1633, June 1994.
+
+ [4] Blake, S., Black, D., Carlson, M., Davies, E., Wang, Z. and W.
+ Weiss, "An Architecture for Differentiated Services", RFC 2475,
+ December 1998.
+
+ [5] Baker, F., Iturralde, C., Le Faucher, F., Davie, B.,
+ "Aggregation of RSVP for IPv4 and IPv6 Reservations", Work in
+ Progress.
+
+ [6] Bernet, Y., "Format of the RSVP DCLASS Object", RFC 2996,
+ November 2000.
+
+
+
+
+
+
+
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+
+
+ [7] Bernet, Y., Yavatkar, R., Ford, P., Baker, F., Zhang, L., Speer,
+ M., Braden, R., Davie, B., Wroclawski, J. and E. Felstaine, "A
+ Framework for Integrated Services Operation Over DiffServ
+ Networks", RFC 2998, November 2000.
+
+ [8] "Quality of Service Technical Overview", Microsoft Technical
+ Library, Microsoft Corporation, September 1999.
+
+ [9] "Resource Reservation Protocol API (RAPI)", Open Group Technical
+ Standard, C809 ISBN 1-85912-226-4, The Open Group, December
+ 1998.
+
+ [10] Berger, L. and T. O'Malley, "RSVP Extensions for IPSEC Data
+ Flows", RFC 2007, September 1997.
+
+ [11] Mills, C., Hirsh, D. and G. Ruth, "Internet Accounting:
+ Background", RFC 1272, November 1991.
+
+9. Acknowledgments
+
+ Valuable contributions to this document came from Yoram Bernet, Brian
+ Carpenter, Jon Crowcroft, Tony Hain and Henning Schulzrinne.
+
+10. Author's Address
+
+ Geoff Huston
+ Telstra
+ 5/490 Northbourne Ave
+ Dickson ACT 2602
+ AUSTRALIA
+
+ EMail: gih@telstra.net
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
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+
+11. Full Copyright Statement
+
+ Copyright (C) The Internet Society (2000). All Rights Reserved.
+
+ This document and translations of it may be copied and furnished to
+ others, and derivative works that comment on or otherwise explain it
+ or assist in its implementation may be prepared, copied, published
+ and distributed, in whole or in part, without restriction of any
+ kind, provided that the above copyright notice and this paragraph are
+ included on all such copies and derivative works. However, this
+ document itself may not be modified in any way, such as by removing
+ the copyright notice or references to the Internet Society or other
+ Internet organizations, except as needed for the purpose of
+ developing Internet standards in which case the procedures for
+ copyrights defined in the Internet Standards process must be
+ followed, or as required to translate it into languages other than
+ English.
+
+ The limited permissions granted above are perpetual and will not be
+ revoked by the Internet Society or its successors or assigns.
+
+ This document and the information contained herein is provided on an
+ "AS IS" basis and THE INTERNET SOCIETY AND THE INTERNET ENGINEERING
+ TASK FORCE DISCLAIMS ALL WARRANTIES, EXPRESS OR IMPLIED, INCLUDING
+ BUT NOT LIMITED TO ANY WARRANTY THAT THE USE OF THE INFORMATION
+ HEREIN WILL NOT INFRINGE ANY RIGHTS OR ANY IMPLIED WARRANTIES OF
+ MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE.
+
+Acknowledgement
+
+ Funding for the RFC Editor function is currently provided by the
+ Internet Society.
+
+
+
+
+
+
+
+
+
+
+
+
+
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+
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