| Rfc | 4883 |
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| Title | Benchmarking Terminology for Resource Reservation Capable Routers |
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| Author | G. Feher, K. Nemeth, A. Korn, I. Cselenyi |
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| Date | July 2007 |
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| Format: | TXT,
HTML |
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| Status: | INFORMATIONAL |
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Network Working Group G. Feher
Request for Comments: 4883 K. Nemeth
Category: Informational A. Korn
BUTE
I. Cselenyi
TeliaSonera
July 2007
Benchmarking Terminology for Resource Reservation Capable Routers
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 IETF Trust (2007).
Abstract
The primary purpose of this document is to define terminology
specific to the benchmarking of resource reservation signaling of
Integrated Services (IntServ) IP routers. These terms can be used in
additional documents that define benchmarking methodologies for
routers that support resource reservation or reporting formats for
the benchmarking measurements.
Table of Contents
1. Introduction ....................................................2
2. Existing Definitions ............................................3
3. Definition of Terms .............................................4
3.1. Traffic Flow Types .........................................4
3.1.1. Data Flow ...........................................4
3.1.2. Distinguished Data Flow .............................4
3.1.3. Best-Effort Data Flow ...............................5
3.2. Resource Reservation Protocol Basics .......................5
3.2.1. QoS Session .........................................5
3.2.2. Resource Reservation Protocol .......................6
3.2.3. Resource Reservation Capable Router .................7
3.2.4. Reservation State ...................................7
3.2.5. Resource Reservation Protocol Orientation ...........8
3.3. Router Load Factors ........................................9
3.3.1. Best-Effort Traffic Load Factor .....................9
3.3.2. Distinguished Traffic Load Factor ..................10
3.3.3. Session Load Factor ................................11
3.3.4. Signaling Intensity Load Factor ....................11
3.3.5. Signaling Burst Load Factor ........................12
3.4. Performance Metrics .......................................13
3.4.1. Signaling Message Handling Time ....................13
3.4.2. Distinguished Traffic Delay ........................14
3.4.3. Best-effort Traffic Delay ..........................15
3.4.4. Signaling Message Deficit ..........................15
3.4.5. Session Maintenance Capacity .......................16
3.5. Router Load Conditions and Scalability Limit ..............17
3.5.1. Loss-Free Condition ................................17
3.5.2. Lossy Condition ....................................18
3.5.3. QoS Compliant Condition ............................19
3.5.4. Not QoS Compliant Condition ........................20
3.5.5. Scalability Limit ..................................20
4. Security Considerations ........................................21
5. Acknowledgements ...............................................21
6. References .....................................................21
6.1. Normative References ......................................21
6.2. Informative References ....................................21
1. Introduction
Signaling-based resource reservation using the IntServ paradigm [4]
is an important part of the different Quality of Service (QoS)
provisioning approaches. Therefore, network operators who are
planning to deploy signaling-based resource reservation may want to
examine the scalability limitations of reservation capable routers
and the impact of signaling on their data forwarding performance.
An objective way of quantifying the scalability constraints of QoS
signaling is to perform measurements on routers that are capable of
IntServ-based resource reservation. This document defines
terminology for a specific set of tests that vendors or network
operators can carry out to measure and report the signaling
performance characteristics of router devices that support resource
reservation protocols. The results of these tests provide comparable
data for different products, and thus support the decision-making
process before purchase. Moreover, these measurements provide input
characteristics for the dimensioning of a network in which resources
are provisioned dynamically by signaling. Finally, the tests are
applicable for characterizing the impact of the resource reservation
signaling on the forwarding performance of the routers.
This benchmarking terminology document is based on the knowledge
gained by examination of (and experimentation with) different
resource reservation protocols: the IETF standard Resource
ReSerVation Protocol (RSVP) [5], Next Steps in Signaling (NSIS)
[6][7][8][9], and several experimental ones, such as YESSIR (Yet
Another Sender Session Internet Reservation) [10], ST2+ [11], Session
Description Protocol (SDP) [12], Boomerang [13], and Ticket [14].
Some of these protocols were also analyzed by the IETF NSIS working
group [15]. Although at the moment the authors are only aware of
resource reservation capable router products that interpret RSVP,
this document defines terms that are valid in general and not
restricted to any of the protocols listed above.
In order to avoid any confusion, we would like to emphasize that this
terminology considers only signaling protocols that provide IntServ
resource reservation; for example, techniques in the DiffServ toolbox
are predominantly beyond our scope.
2. Existing Definitions
RFC 1242 "Benchmarking Terminology for Network Interconnection
Devices" [1] and RFC 2285 "Benchmarking Terminology for LAN Switching
Devices" [3] contain discussions and definitions for a number of
terms relevant to the benchmarking of signaling performance of
reservation-capable routers and should be consulted before attempting
to make use of this document.
Additionally, this document defines terminology in a way that is
consistent with the terms used by the Next Steps in Signaling working
group laid out in [6][7][8].
For the sake of clarity and continuity, this document adopts the
template for definitions set out in Section 2 of RFC 1242.
Definitions are indexed and grouped together into different sections
for ease of reference.
The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT",
"SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY", and "OPTIONAL" in this
document are to be interpreted as described in RFC 2119 [2].
3. Definition of Terms
3.1. Traffic Flow Types
This group of definitions describes traffic flow types forwarded by
resource reservation capable routers.
3.1.1. Data Flow
Definition:
A data flow is a stream of data packets from one sender to one or
more receivers, where each packet has a flow identifier unique to
the flow.
Discussion:
The flow identifier can be an arbitrary subset of the packet
header fields that uniquely distinguishes the flow from others.
For example, the 5-tuple "source address; source port; destination
address; destination port; protocol number" is commonly used for
this purpose (where port numbers are applicable). It is also
possible to take advantage of the Flow Label field of IPv6
packets. For more comments on flow identification, refer to [6].
3.1.2. Distinguished Data Flow
Definition:
Distinguished data flows are flows that resource reservation
capable routers intentionally treat better or worse than best-
effort data flows, according to a QoS agreement defined for the
distinguished flow.
Discussion:
Routers classify the packets of distinguished data flows and
identify the data flow to which they belong.
The most common usage of the distinguished data flow is to get
higher-priority treatment than that of best-effort data flows (see
the next definition). In these cases, a distinguished data flow
is sometimes referred to as a "premium data flow". Nevertheless,
theoretically it is possible to require worse treatment than that
of best-effort flows.
3.1.3. Best-Effort Data Flow
Definition:
Best-effort data flows are flows that are not treated in any
special manner by resource reservation capable routers; thus,
their packets are served (forwarded) in some default way.
Discussion:
"Best-effort" means that the router makes its best effort to
forward the data packet quickly and safely, but does not guarantee
anything (e.g., delay or loss probability). This type of traffic
is the most common in today's Internet.
Packets that belong to best-effort data flows need not be
classified by the routers; that is, the routers don't need to find
a related reservation session in order to find out to which
treatment the packet is entitled.
3.2. Resource Reservation Protocol Basics
This group of definitions applies to signaling-based resource
reservation protocols implemented by IP router devices.
3.2.1. QoS Session
Definition:
A QoS session is an application layer concept, shared between a
set of network nodes, that pertains to a specific set of data
flows. The information associated with the session includes the
data required to identify the set of data flows in addition to a
specification of the QoS treatment they require.
Discussion:
A QoS session is an end-to-end relationship. Whenever end-nodes
decide to obtain special QoS treatment for their data
communication, they set up a QoS session. As part of the process,
they or their proxies make a QoS agreement with the network,
specifying their data flows and the QoS treatment that the flows
require.
It is possible for the same QoS session to span multiple network
domains that have different resource provisioning architectures.
In this document, however, we only deal with the case where the
QoS session is realized over an IntServ architecture. It is
assumed that sessions will be established using signaling messages
of a resource reservation protocol.
QoS sessions must have unique identifiers; it must be possible to
determine to which QoS session a given signaling message pertains.
Therefore, each signaling message should include the identifier of
its corresponding session. As an example, in the case of RSVP,
the "session specification" identifies the QoS session plus refers
to the data flow; the "flowspec" specifies the desired QoS
treatment and the "filter spec" defines the subset of data packets
in the data flow that receive the QoS defined by the flowspec.
QoS sessions can be unicast or multicast depending on the number
of participants. In a multicast group, there can be several data
traffic sources and destinations. Here the QoS agreement does not
have to be the same for each branch of the multicast tree
forwarding the data flow of the group. Instead, a dedicated
network resource in a router can be shared among many traffic
sources from the same multicast group (cf. multicast reservation
styles in the case of RSVP).
Issues:
Even though QoS sessions are considered to be unique, resource
reservation capable routers might aggregate them and allocate
network resources to these aggregated sessions at once. The
aggregation can be based on similar data flow attributes (e.g.,
similar destination addresses) or it can combine arbitrary
sessions as well. While reservation aggregation significantly
lightens the signaling processing task of a resource reservation
capable router, it also requires the administration of the
aggregated QoS sessions and might also lead to the violation of
the quality guaranties referring to individual data flows within
an aggregation [16].
3.2.2. Resource Reservation Protocol
Definition:
Resource reservation protocols define signaling messages and
message processing rules used to control resource allocation in
IntServ architectures.
Discussion:
It is the signaling messages of a resource reservation protocol
that carry the information related to QoS sessions. This
information includes a session identifier, the actual QoS
parameters, and possibly flow descriptors.
The message processing rules of the signaling protocols ensure
that signaling messages reach all network nodes concerned. Some
resource reservation protocols (e.g., RSVP, NSIS QoS NSLP [8]) are
only concerned with this, i.e., carrying the QoS-related
information to all the appropriate network nodes, without being
aware of its content. This latter approach allows changing the
way the QoS parameters are described, and different kinds of
provisioning can be realized without the need to change the
protocol itself.
3.2.3. Resource Reservation Capable Router
Definition:
A router is resource reservation capable (it supports resource
reservation) if it is able to interpret signaling messages of a
resource reservation protocol, and based on these messages is able
to adjust the management of its flow classifiers and network
resources so as to conform to the content of the signaling
messages.
Discussion:
Routers capture signaling messages and manipulate reservation
states and/or reserved network resources according to the content
of the messages. This ensures that the flows are treated as their
specified QoS requirements indicate.
3.2.4. Reservation State
Definition:
A reservation state is the set of entries in the router's memory
that contain all relevant information about a given QoS session
registered with the router.
Discussion:
States are needed because IntServ-related resource reservation
protocols require the routers to keep track of QoS session and
data-flow-related metadata. The reservation state includes the
parameters of the QoS treatment, the description of how and where
to forward the incoming signaling messages, refresh timing
information, etc.
Based on how reservation states are stored in a reservation
capable router, the routers can be categorized into two classes:
Hard-state resource reservation protocols (e.g., ST2 [11]) require
routers to store the reservation states permanently, established
by a setup signaling primitive, until the router is explicitly
informed that the QoS session is canceled.
There are also soft-state resource reservation capable routers,
where there are no permanent reservation states, and each state
has to be regularly refreshed by appropriate refresh signaling
messages. If no refresh signaling message arrives during a
certain period, then the router stops the maintenance of the QoS
session assuming that the end-points do not intend to keep the
session up any longer or the communication lines are broken
somewhere along the data path. This feature makes soft-state
resource reservation capable routers more robust than hard-state
routers, since no failures can cause resources to stay permanently
stuck in the routers. (Note that it is still possible to have an
explicit teardown message in soft-state protocols for quicker
resource release.)
Issues:
Based on the initiating point of the refresh messages, soft-state
resource reservation protocols can be divided into two groups.
First, there are protocols where it is the responsibility of the
end-points or their proxies to initiate refresh messages. These
messages are forwarded along the path of the data flow refreshing
the corresponding reservation states in each router affected by
the flow. Second, there are other protocols, where routers and
end-points have their own schedule for the reservation state
refreshes and they signal these refreshes to the neighboring
routers.
3.2.5. Resource Reservation Protocol Orientation
Definition:
The orientation of a resource reservation protocol tells which end
of the protocol communication initiates the allocation of the
network resources. Thus, the protocol can be sender- or
receiver-oriented, depending on the location of the data flow
source (sender) and destination (receiver) compared to the
reservation initiator.
Discussion:
In the case of sender-oriented protocols (in some sources referred
to as sender-initiated protocols), the resource reservation
propagates in the same direction(s) as of the data flow(s).
Consequently, in the case of receiver-oriented protocols, the
signaling messages reserving resources are forwarded backward on
the path of the data flow. Due to the asymmetric routing nature
of the Internet, in this latter case, the path of the desired data
flow should be known before the reservation initiator would be
able to send the resource allocation messages. For example, in
the case of RSVP, the RSVP PATH message, traveling from the data
flow sources towards the destinations, first marks the path of the
data flow on which the resource allocation messages will travel
backward.
This definition considers only protocols that reserve resources
for just one data flow between the end-nodes. The reservation
orientation of protocols that reserve more than one data flow is
not defined here.
Issues:
The location of the reservation initiator affects the basics of
the resource reservation protocols and therefore is an important
aspect of characterization. Most importantly, in the case of
multicast QoS sessions, the sender-oriented protocols require the
traffic sources to maintain a list of receivers and send their
allocation messages considering the different requirements of the
receivers. Using multicast QoS sessions, the receiver-oriented
protocols enable the receivers to manage their own resource
allocation requests and thus ease the task of the sources.
3.3. Router Load Factors
When a router is under "load", it means that there are tasks its
CPU(s) must attend to, and/or that its memory contains data it
must keep track of, and/or that its interface buffers are utilized
to some extent, etc. Unfortunately, we cannot assume that the
full internal state of a router can be monitored during a
benchmark; rather, we must consider the router to be a black box.
We need to look at router "load" in a way that makes this "load"
measurable and controllable. Instead of focusing on the internal
processes of a router, we will consider the external, and
therefore observable, measurable and controllable processes that
result in "load".
In this section we introduce several ways of creating "load" on a
router; we will refer to these as "load factors" henceforth.
These load factors are defined so that they each impact the
performance of the router in a different way (or by different
means), by utilizing different components of a resource
reservation capable router as separately as possible.
During a benchmark, the performance of the device under test will
have to be measured under different controlled load conditions,
that is, with different values of these load factors.
3.3.1. Best-Effort Traffic Load Factor
Definition:
The best-effort traffic load factor is defined as the number and
length of equal-sized best-effort data packets that traverse the
router in a second.
Discussion:
Forwarding the best-effort data packets, which requires obtaining
the routing information and transferring the data packet between
network interfaces, requires processing power. This load factor
creates load on the CPU(s) and buffers of the router.
For the purpose of benchmarking, we define a traffic flow as a
stream of equal-sized packets with even interpacket delay. It is
possible to specify traffic with varying packet sizes as a
superposition of multiple best-effort traffic flows as they are
defined here.
Issues:
The same amount of data segmented into differently sized packets
causes different amounts of load on the router, which has to be
considered during benchmarking measurements. The measurement unit
of this load factor reflects this as well.
Measurement unit:
This load factor has a composite unit of [packets per second
(pps); bytes]. For example, [5 pps; 100 bytes] means five pieces
of one-hundred-byte packets per second.
3.3.2. Distinguished Traffic Load Factor
Definition:
The distinguished traffic load factor is defined as the number and
length of the distinguished data packets that traverse the router
in a second.
Discussion:
Similarly to the best-effort data, forwarding the distinguished
data packets requires obtaining the routing information and
transferring the data packet between network interfaces. However,
in this case packets have to be classified as well, which requires
additional processing capacity.
For the purpose of benchmarking, we define a traffic flow as a
stream of equal-sized packets with even interpacket delay. It is
possible to specify traffic with varying packet sizes as a
superposition of multiple distinguished traffic flows as they are
defined here.
Issues:
Just as in the best-effort case, the same amount of data segmented
into differently sized packets causes different amounts of load on
the router, which has to be considered during the benchmarking
measurements. The measurement unit of this load factor reflects
this as well.
Measurement unit:
This load factor has a composite unit of [packets per second
(pps); bytes]. For example, [5 pps; 100 bytes] means five pieces
of one-hundred-byte packets per second.
3.3.3. Session Load Factor
Definition:
The session load factor is the number of QoS sessions the router
is keeping track of.
Discussion:
Resource reservation capable routers maintain reservation states
to keep track of QoS sessions. Obviously, the more reservation
states are registered with the router, the more complex the
traffic classification becomes, and the more time it takes to look
up the corresponding resource reservation state. Moreover, not
only the traffic flows, but also the signaling messages that
control the reservation states have to be identified first, before
taking any other action, and this kind of classification also
means extra work for the router.
In the case of soft-state resource reservation protocols, the
session load also affects reservation state maintenance. For
example, the supervision of timers that watchdog the reservation
state refreshes may cause further load on the router.
This load factor utilizes the CPU(s), the main memory, and the
session management logic (e.g., content addressable memory), if
any, of the resource reservation capable router.
Measurement unit:
This load component is measured by the number of QoS sessions that
impact the router.
3.3.4. Signaling Intensity Load Factor
Definition:
The signaling intensity load factor is the number of signaling
messages that are presented at the input interfaces of the router
during one second.
Discussion:
The processing of signaling messages requires processor power that
raises the load on the control plane of the router.
In routers where the control plane and the data plane are not
totally independent (e.g., certain parts of the tasks are served
by the same processor; or the architecture has common memory
buffers, transfer buses or any other resources) the signaling load
can have an impact on the router's packet forwarding performance
as well.
Naturally, just as everywhere else in this document, the term
"signaling messages" refer only to the resource reservation
protocol related primitives.
Issues:
Most resource reservation protocols have several protocol
primitives realized by different signaling message types. Each of
these message types may require a different amount of processing
power from the router. This fact has to be considered during the
benchmarking measurements.
Measurement unit:
The unit of this factor is signaling messages/second.
3.3.5. Signaling Burst Load Factor
Definition:
The signaling burst load factor is defined as the number of
signaling messages that arrive to one input port of the router
back-to-back ([1]), causing persistent load on the signaling
message handler.
Discussion:
The definition focuses on one input port only and does not
consider the traffic arriving at the other input ports. As a
consequence, a set of messages arriving at different ports, but
with such a timing that would be a burst if the messages arrived
at the same port, is not considered to be a burst. The reason for
this is that it is not guaranteed in a black-box test that this
would have the same effect on the router as a burst (incoming at
the same interface) has.
This definition conforms to the burst definition given in [3].
Issues:
Most of the resource reservation protocols have several protocol
primitives realized by different signaling message types. Bursts
built up of different messages may have a different effect on the
router. Consequently, during measurements the content of the
burst has to be considered as well.
Likewise, the first one of multiple idempotent signaling messages
that each accomplish exactly the same end will probably not take
the same amount of time to be processed as subsequent ones.
Benchmarking methodology will have to consider the intended effect
of the signaling messages, as well as the state of the router at
the time of their arrival.
Measurement unit:
This load factor is characterized by the number of messages in the
burst.
3.4. Performance Metrics
This group of definitions is a collection of measurable quantities
that describe the performance impact the different load components
have on the router.
During a benchmark, the values of these metrics will have to be
measured under different load conditions.
3.4.1. Signaling Message Handling Time
Definition:
The signaling message handling time (or, in short, signal handling
time) is the latency ([1], for store-and-forward devices) of a
signaling message passing through the router.
Discussion:
The router interprets the signaling messages, acts based on their
content and usually forwards them in an unmodified or modified
form. Thus the message handling time is usually longer than the
forwarding time of data packets of the same size.
There might be signaling message primitives, however, that are
drained or generated by the router, like certain refresh messages.
In this case, the signal handling time is not necessarily
measureable, therefore it is not defined for such messages.
In the case of signaling messages that carry information
pertaining to multicast flows, the router might issue multiple
signaling messages after processing them. In this case, by
definition, the signal handling time is the latency between the
incoming signaling message and the last outgoing signaling message
related to the received one.
The signal handling time is an important characteristic as it
directly affects the setup time of a QoS session.
Issues:
The signal handling time may be dependent on the type of the
signaling message. For example, it usually takes a shorter time
for the router to remove a reservation state than to set it up.
This fact has to be considered during the benchmarking process.
As noted above, the first one of multiple idempotent signaling
messages that each accomplish exactly the same end will probably
not take the same amount of time to be processed as subsequent
ones. Benchmarking methodology will have to consider the intended
effect of the signaling messages, as well as the state of the
router at the time of their arrival.
Measurement unit:
The dimension of the signaling message handling time is the
second, reported with a resolution sufficient to distinguish
between different events/DUTs (e.g., milliseconds). Reported
results MUST clearly indicate the time unit used.
3.4.2. Distinguished Traffic Delay
Definition:
Distinguished traffic delay is the latency ([1], for store-and-
forward devices) of a distinguished data packet passing through
the tested router device.
Discussion:
Distinguished traffic packets must be classified first in order to
assign the network resources dedicated to the flow. The time of
the classification is added to the usual forwarding time
(including the queuing) that a router would spend on the packet
without any resource reservation capability. This classification
procedure might be quite time consuming in routers with vast
amounts of reservation states.
There are routers where the processing power is shared between the
control plane and the data plane. This means that the processing
of signaling messages may have an impact on the data forwarding
performance of the router. In this case, the distinguished
traffic delay metric also indicates the influence the two planes
have on each other.
Issues:
Queuing of the incoming data packets in routers can bias this
metric, so the measurement procedures have to consider this
effect.
Measurement unit:
The dimension of the distinguished traffic delay time is the
second, reported with resolution sufficient to distinguish between
different events/DUTs (e.g., millisecond units). Reported results
MUST clearly indicate the time unit used.
3.4.3. Best-effort Traffic Delay
Definition:
Best-effort traffic delay is the latency of a best-effort data
packet traversing the tested router device.
Discussion:
If the processing power of the router is shared between the
control and data plane, then the processing of signaling messages
may have an impact on the data forwarding performance of the
router. In this case, the best-effort traffic delay metric is an
indicator of the influence the two planes have on each other.
Issues:
Queuing of the incoming data packets in routers can bias this
metric as well, so measurement procedures have to consider this
effect.
Measurement unit:
The dimension of the best-effort traffic delay is the second,
reported with resolution sufficient to distinguish between
different events/DUTs (e.g., millisecond units). Reported results
MUST clearly indicate the time unit used.
3.4.4. Signaling Message Deficit
Definition:
Signaling message deficit is one minus the ratio of the actual and
the expected number of signaling messages leaving a resource
reservation capable router.
Discussion:
This definition gives the same value as the ratio of the lost
(that is, not forwarded or not generated) and the expected
messages. The above calculation must be used because the number
of lost messages cannot be measured directly.
There are certain types of signaling messages that reservation
capable routers are required to forward as soon as their
processing is finished. However, due to lack of resources or
other reasons, the forwarding or even the processing of these
signaling messages might not take place.
Certain other kinds of signaling messages must be generated by the
router in the absence of any corresponding incoming message. It
is possible that an overloaded router does not have the resources
necessary to generate such a message.
To characterize these situations we introduce the signaling
message deficit metric that expresses the ratio of the signaling
messages that have actually left the router and those ones that
were expected to leave the router. We subtract this ratio from
one in order to obtain a loss-type metric instead of a "message
survival metric".
Since the most frequent reason for signaling message deficit is
high router load, this metric is suitable for sounding out the
scalability limits of resource reservation capable routers.
During the measurements one must be able to determine whether a
signaling message is still in the queues of the router or if it
has already been dropped. For this reason we define a signaling
message as lost if no forwarded signaling message is emitted
within a reasonably long time period. This period is defined
along with the benchmarking methodology.
Measurement unit:
This measure has no unit; it is expressed as a real number, which
is between zero and one, including the limits.
3.4.5. Session Maintenance Capacity
Definition:
The session maintenance capacity metric is used in the case of
soft-state resource reservation protocols only. It is defined as
the ratio of the number of QoS sessions actually being maintained
and the number of QoS sessions that should have been maintained.
Discussion:
For soft-state protocols maintaining a QoS session means
refreshing the reservation states associated with it.
When a soft-state resource reservation capable router is
overloaded, it may happen that the router is not able to refresh
all the registered reservation states, because it does not have
the time to run the state refresh task. In this case, sooner or
later some QoS sessions will be lost even if the endpoints still
require their maintenance.
The session maintenance capacity sounds out the maximal number of
QoS sessions that the router is capable of maintaining.
Issues:
The actual process of session maintenance is protocol and
implementation dependent, thus so is the method to examine whether
a session is maintained or not.
In the case of soft-state resource reservation protocols, where
the network nodes are responsible for generating the refresh
messages, a router that fails to maintain a QoS session may not
emit refresh signaling messages either. This has direct
consequences on the signaling message deficit metric.
Measurement unit:
This measure has no unit; it is expressed as a real number, which
is between zero and one (including the limits).
3.5. Router Load Conditions and Scalability Limit
Depending mainly, but not exclusively, on the overall load of a
router, it can be in exactly one of the following four conditions at
a time: loss-free and QoS compliant; lossy and QoS compliant; loss-
free but not QoS compliant; and neither loss-free nor QoS compliant.
These conditions are defined below, along with the scalability limit.
3.5.1. Loss-Free Condition
Definition:
A router is in loss-free condition, or loss-free state, if and
only if it is able to perform its tasks correctly and in a timely
fashion.
Discussion:
All existing routers have finite buffer memory and finite
processing power. If a router is in loss-free state, the buffers
of the router still contain enough free space to accommodate the
next incoming packet when it arrives. Also, the router has enough
processing power to cope with all its tasks, thus all required
operations are carried out within the time the protocol
specification allows; or, if this time is not specified by the
protocol, then in "reasonable time" (which is then defined in the
benchmarks). Similar considerations can be applied to other
resources a router may have, if any; in loss-free states, the
utilization of these resources still allows the router to carry
out its tasks in accordance with applicable protocol
specifications and in "reasonable time".
Note that loss-free states as defined above are not related to the
reservation states of resource reservation protocols. The word
"state" is used to mean "condition".
Also note that it is irrelevant what internal reason causes a
router to fail to perform in accordance with protocol
specifications or in "reasonable time"; if it is not high load but
-- for example -- an implementation error that causes the device
to perform inadequately, it still cannot be said to be in a loss-
free state. The same applies to the random early dropping of
packets in order to prevent congestion. In a black-box
measurement it is impossible to determine whether a packet was
dropped as part of a congestion control mechanism or because the
router was unable to forward it; therefore, if packet loss is
observed except as noted below, the router is by definition in
lossy state (lossy condition).
If a distinguished data flow exceeds its allotted bandwidth, it is
acceptable for routers to drop excess packets. Thus, a router
that is QoS Compliant (see below) is also loss-free provided that
it only drops packets from distinguished data flows.
If a device is not in a loss-free state, it is in a lossy
condition/state.
Related definitions:
Lossy Condition
QoS Compliant Condition
Not QoS Compliant Condition
Scalability Limit
3.5.2. Lossy Condition
Definition:
A router is in a lossy condition, or lossy state, if it cannot
perform its duties adequately for some reason; that is, if it does
not meet protocol specifications (except QoS guarantees, which are
treated separately), or -- if time-related specifications are
missing -- doesn't complete some operations in "reasonable time"
(which is then defined in the benchmarks).
Discussion:
A router may be in a lossy state for several reasons, including
but not necessarily limited to the following:
a) Buffer memory has run out, so either an incoming or a buffered
packet has to be dropped.
b) The router doesn't have enough processing power to cope with
all its duties. Some required operations are skipped, aborted
or suffer unacceptable delays.
c) Some other finite internal resource is exhausted.
d) The router runs a defective (non-conforming) protocol
implementation.
e) Hardware malfunction.
f) A congestion control mechanism is active.
Loss can mean the loss of data packets as well as signaling
message deficit.
A router that does not lose data packets and does not experience
signaling message deficit but fails to meet required QoS
parameters is in the loss-free, but not in the QoS compliant
state.
If a device is not in a lossy state, it is in a loss-free
condition/state.
Related definitions:
Loss-Free Condition (especially the discussion of congestion
control mechanisms that cause packet loss)
Scalability Limit
Signaling Message Deficit
QoS Compliant Condition
Not QoS Compliant Condition
3.5.3. QoS Compliant Condition
Definition:
A router is in the QoS compliant state if and only if all
distinguished data flows receive the QoS treatment they are
entitled to.
Discussion:
Defining what specific QoS guarantees must be upheld is beyond the
scope of this document because every reservation model may specify
a different set of such parameters.
Loss, delay, jitter etc. of best-effort data flows are irrelevant
when considering whether a router is in the QoS compliant state.
Related definitions:
Loss-Free Condition
Lossy Condition
Not QoS Compliant Condition
Scalability Limit
3.5.4. Not QoS Compliant Condition
Definition:
A router is in the not QoS compliant state if and only if it is
not in the QoS compliant condition.
Related definitions:
Loss-Free Condition
Lossy Condition
QoS Compliant Condition
Scalability Limit
3.5.5. Scalability Limit
Definition:
The scalability limits of a router are the boundary load
conditions where the router is still in the loss-free and QoS
compliant state, but the smallest amount of additional load would
drive it to a state that is either QoS compliant but not loss-
free, or not QoS compliant but loss-free, or neither loss-free nor
QoS compliant.
Discussion:
An unloaded router that operates correctly is in a loss-free and
QoS compliant state. As load increases, the resources of the
router are becoming more and more utilized. At a certain point,
the router enters a state that is either not QoS compliant, or not
loss-free, or neither QoS compliant nor loss-free. Note that such
a point may be impossible to reach in some cases (for example if
the bandwidth of the physical medium prevents increasing the
traffic load any further).
A particular load condition can be identified by the corresponding
values of the load factors (as defined in 3.3 Router Load Factors)
impacting the router. These values can be represented as a 7-
tuple of numbers (there are only five load factors, but the
traffic load factors have composite units and thus require two
numbers each to express). We can think of these tuples as vectors
that correspond to a state that is either both loss free and QoS
compliant, or not loss-free (but QoS compliant), or not QoS
compliant (but loss-free), or neither loss-free nor QoS compliant.
The scalability limit of the router is, then, the boundary between
the sets of vectors corresponding to the loss-free and QoS
compliant states and all other states. Finding these boundary
points is one of the objectives of benchmarking.
Benchmarks may try to separately identify the boundaries of the
loss-free and of the QoS compliant conditions in the (seven-
dimensional) space defined by the load-vectors.
Related definitions:
Lossy Condition
Loss-Free Condition
QoS Compliant Condition
Non QoS Compliant Condition
4. Security Considerations
As this document only provides terminology and does not describe a
protocol, an implementation, or a procedure, there are no security
considerations associated with it.
5. Acknowledgements
We would like to thank Telia Research AB, Sweden and the High Speed
Networks Laboratory at the Department of Telecommunication and Media
Informatics of the Budapest University of Technology and Economics,
Hungary for their support in the research and development work, which
contributed to the creation of this document.
6. References
6.1. Normative References
[1] Bradner, S., "Benchmarking Terminology for Network
Interconnection Devices", RFC 1242, July 1991.
[2] Bradner, S., "Key words for use in RFCs to Indicate Requirement
Levels", BCP 14, RFC 2119, March 1997.
[3] Mandeville, R., "Benchmarking Terminology for LAN Switching
Devices", RFC 2285, February 1998.
6.2. Informative References
[4] Braden, R., Clark, D., and S. Shenker, "Integrated Services in
the Internet Architecture: an Overview", RFC 1633, June 1994.
[5] Braden, R., Ed., Zhang, L., Berson, S., Herzog, S., and S.
Jamin, "Resource ReSerVation Protocol (RSVP) -- Version 1
Functional Specification", RFC 2205, September 1997.
[6] Hancock, R., Karagiannis, G., Loughney, J., and S. Van den
Bosch, "Next Steps in Signaling (NSIS): Framework", RFC 4080,
June 2005.
[7] Schulzrinne, H. and R. Hancock, "GIST: General Internet
Signaling Transport", Work in Progress, April 2007.
[8] Manner, J., Ed., Karagiannis, G., and A. McDonald, "NSLP for
Quality-of-Service Signaling", Work in Progress, June 2007.
[9] Ash, J., Bader, A., Kappler, C., and D. Oran, "QoS NSLP QSPEC
Template", Work in Progress, March 2007.
[10] P. Pan, H. Schulzrinne, "YESSIR: A Simple Reservation Mechanism
for the Internet", Computer Communication Review, on-line
version, volume 29, number 2, April 1999
[11] Delgrossi, L. and L. Berger, "Internet Stream Protocol Version 2
(ST2) Protocol Specification - Version ST2+", RFC 1819, August
1995.
[12] P. White, J. Crowcroft, "A Case for Dynamic Sender-Initiated
Reservation in the Internet", Journal on High Speed Networks,
Special Issue on QoS Routing and Signaling, Vol. 7 No. 2, 1998
[13] J. Bergkvist, D. Ahlard, T. Engborg, K. Nemeth, G. Feher, I.
Cselenyi, M. Maliosz, "Boomerang : A Simple Protocol for
Resource Reservation in IP Networks", Vancouver, IEEE Real-Time
Technology and Applications Symposium, June 1999
[14] A. Eriksson, C. Gehrmann, "Robust and Secure Light-weight
Resource Reservation for Unicast IP Traffic", International WS
on QoS'98, IWQoS'98, May 18-20, 1998
[15] Manner, J. and X. Fu, "Analysis of Existing Quality-of-Service
Signaling Protocols", RFC 4094, May 2005.
[16] Baker, F., Iturralde, C., Le Faucheur, F., and B. Davie,
"Aggregation of RSVP for IPv4 and IPv6 Reservations", RFC 3175,
September 2001.
Authors' Addresses
Gabor Feher
Budapest University of Technology and Economics
Department of Telecommunications and Media Informatics
Magyar Tudosok krt. 2, H-1117, Budapest, Hungary
Phone: +36 1 463-1538
EMail: Gabor.Feher@tmit.bme.hu
Krisztian Nemeth
Budapest University of Technology and Economics
Department of Telecommunications and Media Informatics
Magyar Tudosok krt. 2, H-1117, Budapest, Hungary
Phone: +36 1 463-1565
EMail: Krisztian.Nemeth@tmit.bme.hu
Andras Korn
Budapest University of Technology and Economics
Department of Telecommunication and Media Informatics
Magyar Tudosok krt. 2, H-1117, Budapest, Hungary
Phone: +36 1 463-2664
EMail: Andras.Korn@tmit.bme.hu
Istvan Cselenyi
TeliaSonera International Carrier
Vaci ut 22-24, H-1132 Budapest, Hungary
Phone: +36 1 412-2705
EMail: Istvan.Cselenyi@teliasonera.com
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