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
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,
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
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
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
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.
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
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-
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.
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
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
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.
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
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
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
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.
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?
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.
- 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