RFC 2729
Taxonomy of Communication Requirements for Large-scale Multicast Applications
Pages: 27
Informational
Informational
Network Working Group P. Bagnall Request for Comments: 2729 R. Briscoe Category: Informational A. Poppitt BT December 1999 Taxonomy of Communication Requirements for Large-scale Multicast Applications 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 (1999). All Rights Reserved.Abstract
The intention of this memo is to define a classification system for the communication requirements of any large-scale multicast application (LSMA). It is very unlikely one protocol can achieve a compromise between the diverse requirements of all the parties involved in any LSMA. It is therefore necessary to understand the worst-case scenarios in order to minimize the range of protocols needed. Dynamic protocol adaptation is likely to be necessary which will require logic to map particular combinations of requirements to particular mechanisms. Standardizing the way that applications define their requirements is a necessary step towards this. Classification is a first step towards standardization.
Table of Contents
1. Introduction . . . . . . . . . . . . . . . . . . . . . . 2 2. Definitions of Sessions. . . . . . . . . . . . . . . . . 3 3. Taxonomy . . . . . . . . . . . . . . . . . . . . . . . . 4 3.1. Summary of Communications Parameters . . . . . . . . 4 3.2. Definitions, types and strictest requirements. . . . 5 3.2.1. Types . . . . . . . . . . . . . . . . . . . . . 6 3.2.2. Reliability . . . . . . . . . . . . . . . . . . 7 3.2.2.1. Packet Loss . . . . . . . . . . . . . . . . 7 3.2.2.2. Component Reliability . . . . . . . . . . . 8 3.2.3. Ordering . . . . . . . . . . . . . . . . . . . . 9 3.2.4. Timeliness . . . . . . . . . . . . . . . . . . . 9 3.2.5. Session Control . . . . . . . . . . . . . . . .13 3.2.6. Session Topology . . . . . . . . . . . . . . . .16 3.2.7. Directory . . . . . . . . . . . . . . . . . . .17 3.2.8. Security . . . . . . . . . . . . . . . . . . . .17 3.2.8.1. Security Dynamics . . . . . . . . . . . . .23 3.2.9. Payment & Charging . . . . . . . . . . . . . . .24 4. Security Considerations . . . . . . . . . . . . . . . .25 5. References . . . . . . . . . . . . . . . . . . . . . .25 6. Authors' Addresses . . . . . . . . . . . . . . . . . . .26 7. Full Copyright Statement . . . . . . . . . . . . . . . .271. Introduction
This taxonomy consists of a large number of parameters that are considered useful for describing the communication requirements of LSMAs. To describe a particular application, each parameter would be assigned a value. Typical ranges of values are given wherever possible. Failing this, the type of any possible values is given. The parameters are collected into ten or so higher level categories, but this is purely for convenience. The parameters are pitched at a level considered meaningful to application programmers. However, they describe communications not applications - the terms '3D virtual world', or 'shared TV' might imply communications requirements, but they don't accurately describe them. Assumptions about the likely mechanism to achieve each requirement are avoided where possible. While the parameters describe communications, it will be noticed that few requirements concerning routing etc. are apparent. This is because applications have few direct requirements on these second order aspects of communications. Requirements in these areas will have to be inferred from application requirements (e.g. latency).
The taxonomy is likely to be useful in a number of ways:
1. Most simply, it can be used as a checklist to create a
requirements statement for a particular LSMA. Example applications
will be classified [bagnall98] using the taxonomy in order to
exercise (and improve) it
2. Because strictest requirement have been defined for many
parameters, it will be possible to identify worst case scenarios
for the design of protocols
3. Because the scope of each parameter has been defined (per session,
per receiver etc.), it will be possible to highlight where
heterogeneity is going to be most marked
4. It is a step towards standardization of the way LSMAs define their
communications requirements. This could lead to standard APIs
between applications and protocol adaptation middleware
5. Identification of limitations in current Internet technology for
LSMAs to be added to the LSMA limitations memo [limitations]
6. Identification of gaps in Internet Engineering Task Force (IETF)
working group coverage
This approach is intended to complement that used where application
scenarios for Distributed Interactive Simulation (DIS) are proposed
in order to generate network design metrics (values of communications
parameters). Instead of creating the communications parameters from
the applications, we try to imagine applications that might be
enabled by stretching communications parameters.
2. Definition of Sessions
The following terms have no agreed definition, so they will be
defined for this document.
Session
a happening or gathering consisting of flows of information
related by a common description that persists for a non-trivial
time (more than a few seconds) such that the participants (be they
humans or applications) are involved and interested at
intermediate times. A session may be defined recursively as a
super-set of other sessions.
Secure session
a session with restricted access
A session or secure session may be a sub and/or super set of a multicast group. A session can simultaneously be both a sub and a super-set of a multicast group by spanning a number of groups while time-sharing each group with other sessions.3. Taxonomy
3.1 Summary of Communications Parameters
Before the communications parameters are defined, typed and given worst-case values, they are simply listed for convenience. Also for convenience they are collected under classification headings. Reliability . . . . . . . . . . . . . . . . . . . . . . 3.2.1 Packet loss . . . . . . . . . . . . . . . . . . . . 3.2.1.1 Transactional Guaranteed Tolerated loss Semantic loss Component reliability . . . . . . . . . . . . . . . 3.2.1.2 Setup fail-over time Mean time between failures Fail over time during a stream Ordering . . . . . . . . . . . . . . . . . . . . . . . . 3.2.2 Ordering type Timeliness . . . . . . . . . . . . . . . . . . . . . . . 3.2.3 Hard Realtime Synchronicity Burstiness Jitter Expiry Latency Optimum bandwidth Tolerable bandwidth Required by time and tolerance Host performance Fair delay Frame size Content size Session Control . . . . . . . . . . . . . . . . . . . . 3.2.4 Initiation Start time End time Duration Active time Session Burstiness Atomic join Late join allowed ?
Temporary leave allowed ?
Late join with catch-up allowed ?
Potential streams per session
Active streams per sessions
Session Topology . . . . . . . . . . . . . . . . . . . . 3.2.5
Number of senders
Number of receivers
Directory . . . . . . . . . . . . . . . . . . . . . . . 3.2.6
Fail-over time-out (see Reliability: fail-over time)
Mobility
Security . . . . . . . . . . . . . . . . . . . . . . . . 3.2.7
Authentication strength
Tamper-proofing
Non-repudiation strength
Denial of service
Action restriction
Privacy
Confidentiality
Retransmit prevention strength
Membership criteria
Membership principals
Collusion prevention
Fairness
Action on compromise
Security dynamics . . . . . . . . . . . . . . . . . . . 3.2.8
Mean time between compromises
Compromise detection time limit
compromise recovery time limit
Payment & Charging . . . . . . . . . . . . . . . . . . . 3.2.9
Total Cost
Cost per time
Cost per Mb
3.2 Definitions, types and strictest requirements
The terms used in the above table are now defined for the context of
this document. Under each definition, the type of their value is
given and where possible worst-case values and example applications
that would exhibit this requirement.
There is no mention of whether a communication is a stream or a
discrete interaction. An attempt to use this distinction as a way of
characterizing communications proved to be remarkably unhelpful and
was dropped.
3.2.1 Types
Each requirement has a type. The following is a list of all the types used in the following definitions. Application Benchmark This is some measure of the processor load of an application, in some architecture neutral unit. This is non-trivial since the processing an application requires may change radically with different hardware, for example, a video client with and without hardware support. Bandwidth Measured in bits per second, or a multiple of. Boolean Abstract Currency An abstract currency is one which is adjusted to take inflation into account. The simplest way of doing this is to use the value of a real currency on a specific date. It is effectively a way of assessing the cost of something in "real terms". An example might be 1970 US$. Another measure might be "average man hours". Currency - current local Data Size Date (time since epoch) Enumeration Fraction Identifiers A label used to distinguish different parts of a communication Integer Membership list/rule Macro A small piece of executable code used to describe policies Time
3.2.2 Reliability
3.2.2.1 Packet Loss
Transactional When multiple operations must occur atomically, transactional communications guarantee that either all occur or none occur and a failure is flagged. Type: Boolean Meaning: Transactional or Not transaction Strictest Requirement: Transactional Scope: per stream Example Application: Bank credit transfer, debit and credit must be atomic. NB: Transactions are potentially much more complex, but it is believed this is an application layer problem. Guaranteed Guarantees communications will succeed under certain conditions. Type: Enumerated Meaning: Deferrable - if communication fails it will be deferred until a time when it will be successful. Guaranteed - the communication will succeed so long as all necessary components are working. No guarantee - failure will not be reported. Strictest Requirement: Deferrable Example Application: Stock quote feed - Guaranteed Scope: per stream NB: The application will need to set parameters to more fully define Guarantees, which the middleware may translate into, for example, queue lengths. Tolerated loss This specifies the proportion of data from a communication that can be lost before the application becomes completely unusable.
Type: Fraction
Meaning: fraction of the stream that can be lost
Strictest Requirement: 0%
Scope: per stream
Example Application: Video - 20%
Semantic loss
The application specifies how many and which parts of the
communication can be discarded if necessary.
Type: Identifiers, name disposable application
level frames
Meaning: List of the identifiers of application
frames which may be lost
Strictest Requirement: No loss allowed
Scope: per stream
Example Application: Video feed - P frames may be lost, I frames
not
3.2.2.2. Component Reliability
Setup Fail-over time
The time before a failure is detected and a replacement component
is invoked. From the applications point of view this is the time
it may take in exceptional circumstances for a channel to be set-
up. It is not the "normal" operating delay before a channel is
created.
Type: Time
Strictest Requirement: Web server - 1 second
Scope: per stream
Example Application: Name lookup - 5 seconds
Mean time between failures
The mean time between two consecutive total failures of the
channel.
Type: Time
Strictest Requirement: Indefinite
Scope: per stream
Example Application: Telephony - 1000 hours
Fail over time during a stream
The time between a stream breaking and a replacement being set up.
Type: Time
Strictest Requirement: Equal to latency requirement
Scope: per stream
Example Application: File Transfer - 10sec
3.2.3. Ordering
Ordering type
Specifies what ordering must be preserved for the application
Type: {
Enumeration timing,
Enumeration sequencing,
Enumeration causality
}
Meaning: Timing - the events are timestamped
Global
Per Sender
none
Sequencing - the events are sequenced in
order of occurrence
Global
Per Sender
none
Causality - the events form a graph
relating cause and effect
Global
Per Sender
none
Strictest Requirement: Global, Global, Global
Scope: per stream
Example Application: Game - { none, per sender, global } (to
make sure being hit by bullet occurs
after the shot is fired!)
3.2.4. Timeliness
Hard real- time
There is a meta-requirement on timeliness. If hard real-time is
required then the interpretation of all the other requirements
changes. Failures to achieve the required timeliness must be
reported before the communication is made. By contrast soft real-
time means that there is no guarantee that an event will occur in
time. However statistical measures can be used to indicate the
probability of completion in the required time, and policies such
as making sure the probability is 95% or better could be used.
Type: Boolean
Meaning: Hard or Soft realtime
Strictest Requirement: Hard
Scope: per stream
Example Application: Medical monitor - Hard
Synchronicity
To make sure that separate elements of a session are correctly
synchronized with respect to each other
Type: Time
Meaning: The maximum time drift between streams
Strictest Requirement: 80ms for human perception
Scope: per stream pair/set
Example Application: TV lip-sync value 80ms
NB: the scope is not necessarily the same as
the session. Some streams may no need to be
sync'd, (say, a score ticker in a football
match
Burstiness
This is a measure of the variance of bandwidth requirements over
time.
Type: Fraction
Meaning: either:
Variation in b/w as fraction of b/w for
variable b/w communications
or
duty cycle (fraction of time at peak b/w)
for intermittent b/w communications.
Strictest Requirement: Variation = max b/w Duty cycle ~ 0
Scope: per stream
Example Application: Sharing video clips, with chat channel -
sudden bursts as clips are swapped.
Compressed Audio - difference between
silence and talking
NB: More detailed analysis of communication
flow (e.g. max rate of b/w change or
Fourier Transform of the b/w requirement) is
possible but as complexity increases
usefulness and computability decrease.
Jitter
Jitter is a measure of variance in the time taken for
communications to traverse from the sender (application) to the
receiver, as seen from the application layer.
Type: Time
Meaning: Maximum permissible time variance
Strictest Requirement: <1ms
Scope: per stream
Example Application: audio streaming - <1ms
NB: A jitter requirement implies that the
communication is a real-time stream. It
makes relatively little sense for a file
transfer for example.
Expiry
This specifies how long the information
being transferred remains valid for.
Type: Date
Meaning: Date at which data expires
Strictest Requirement: For ever
Scope: per stream
Example Application: key distribution - now+3600 seconds (valid
for at least one hour)
Latency
Time between initiation and occurrence of
an action from application perspective.
Type: Time
Strictest Requirement: Near zero for process control apps
Scope: per stream
Example Application: Audio conference 20ms
NB: Where an action consists of several
distinct sequential parts the latency
budget must be split over those parts. For
process control the requirement may take
any value.
Optimum Bandwidth
Bandwidth required to complete communication in time
Type: Bandwidth
Strictest Requirement: No upper limit
Scope: per stream
Example Application: Internet Phone 8kb/s
Tolerable Bandwidth
Minimum bandwidth that application can tolerate
Type: Bandwidth
Strictest Requirement: No upper limit
Scope: per stream
Example Application: Internet phone 4kb/s
Required by time and tolerance
Time communication should complete by and time when failure to
complete renders communication useless (therefore abort).
Type: {
Date - preferred complete time,
Date - essential complete time
}
Strictest Requirement: Both now.
Scope: per stream
Example Application: Email - Preferred 5 minutes & Essential in
1 day
NB: Bandwidth * Duration = Size; only two of
these parameters may be specified. An API
though could allow application authors to
think in terms of any two.
Host performance
Ability of host to create/consume communication
Type: Application benchmark
Meaning: Level of resources required by Application
Strictest Requirement: Full consumption
Scope: per stream
Example Application: Video - consume 15 frames a second
NB: Host performance is complex since load,
media type, media quality, h/w assistance,
and encoding scheme all affect the
processing load. These are difficult to
predict prior to a communication starting.
To some extent these will need to be
measured and modified as the communication
proceeds.
Frame size
Size of logical data packets from application perspective
Type: data size
Strictest Requirement: 6 bytes (gaming)
Scope: per stream
Example Application: video = data size of single frame update
Content size
The total size of the content (not relevant for continuous media)
Type: data size
Strictest Requirement: N/A
Scope: per stream
Example Application: document transfer, 4kbytes
3.2.5. Session Control
Initiation
Which initiation mechanism will be used.
Type: Enumeration
Meaning: Announcement - session is publicly
announced via a mass distribution
system
Invitation - specific participants are
explicitly invited, e.g. my email
Directive - specific participants are
forced to join the session
Strictest Requirement: Directive
Scope: per stream
Example Application: Corporate s/w update - Directive
Start Time
Time sender starts sending!
Type: Date
Strictest Requirement: Now
Scope: per stream
Example Application: FTP - at 3am
End Time
Type: Date
Strictest Requirement: Now
Scope: per stream
Example Application: FTP - Now+30mins
Duration
(end time) - (start time) = (duration), therefore only two of
three should be specified.
Type: Time
Strictest Requirement: - 0ms for discrete, indefinite for streams
Scope: per stream
Example Application: audio feed - 60mins
Active Time
Total time session is active, not including breaks
Type: Time
Strictest Requirement: equals duration
Scope: per stream
Example Application: Spectator sport transmission
Session Burstiness
Expected level of burstiness of the session
Type: Fraction
Meaning: Variance as a fraction of maximum bandwidth
Strictest Requirement: =bandwidth
Scope: per stream
Example Application: commentary & slide show: 90% of max
Atomic join
Session fails unless a certain proportion of the potential
participants accept an invitation to join. Alternatively, may be
specified as a specific numeric quorum.
Type: Fraction (proportion required) or int
(quorum)
Strictest Requirement: 1.0 (proportion)
Example Application: price list update, committee meeting
Scope: per stream or session
NB: whether certain participants are essential
is application dependent.
Late join allowed ?
Does joining a session after it starts make sense
Type: Boolean
Strictest Requirement: allowed
Scope: per stream or session
Example Application: game - not allowed
NB: An application may wish to define an
alternate session if late join is not
allowed
Temporary leave allowed ?
Does leaving and then coming back make sense for session
Type: Boolean
Strictest Requirement: allowed
Scope: per stream or session
Example Application: FTP - not allowed
Late join with catch-up allowed ?
Is there a mechanism for a late joiner to see what they've missed
Type: Boolean
Strictest Requirement: allowed
Scope: per stream or session
Example Application: sports event broadcast, allowed
NB: An application may wish to define an
alternate session if late join is not
allowed
Potential streams per session
Total number of streams that are part of session, whether being
consumed or not
Type: Integer
Strictest Requirement: No upper limit
Scope: per session
Example Application: football match mcast - multiple camera's,
commentary, 15 streams
Active streams per sessions (i.e. max app can handle)
Maximum number of streams that an application can consume
simultaneously
Type: Integer
Strictest Requirement: No upper limit
Scope: per session
Example Application: football match mcast - 6, one main video,
four user selected, one audio commentary
3.2.6. Session Topology
Note: topology may be dynamic. One of the challenges in designing
adaptive protocol frameworks is to predict the topology before the
first join.
Number of senders
The number of senders is a result the middleware may pass up to
the application
Type: Integer
Strictest Requirement: No upper limit
Scope: per stream
Example Application: network MUD - 100
Number of receivers
The number of receivers is a results the middleware may pass up to
the application
Type: Integer
Strictest Requirement: No upper limit
Scope: per stream
Example Application: video mcast - 100,000
3.2.7. Directory
Fail-over timeout (see Reliability: fail-over time) Mobility Defines restrictions on when directory entries may be changed Type: Enumeration Meaning: while entry is in use while entry in unused never Strictest Requirement: while entry is in use Scope: per stream Example Application: voice over mobile phone, while entry is in use (as phone gets new address when changing cell).3.2.8. Security
The strength of any security arrangement can be stated as the expected cost of mounting a successful attack. This allows mechanisms such as physical isolation to be considered alongside encryption mechanisms. The cost is measured in an abstract currency, such as 1970 UD$ (to inflation proof). Security is an orthogonal requirement. Many requirements can have a security requirement on them which mandates that the cost of causing the system to fail to meet that requirement is more than the specified amount. In terms of impact on other requirements though, security does potentially have a large impact so when a system is trying to determine which mechanisms to use and whether the requirements can be met security will clearly be a major influence. Authentication Strength Authentication aims to ensure that a principal is who they claim to be. For each role in a communication, (e.g. sender, receiver) there is a strength for the authentication of the principle who has taken on that role. The principal could be a person, organization or other legal entity. It could not be a process since a process has no legal representation. Type: Abstract Currency Meaning: That the cost of hijacking a role is in excess of the specified amount. Each role is a different requirement.
Strictest Requirement: budget of largest attacker
Scope: per stream
Example Application: inter-governmental conference
Tamper-proofing
This allows the application to specify how much security will be
applied to ensuring that a communication is not tampered with.
This is specified as the minimum cost of successfully tampering
with the communication. Each non-security requirement has a
tamper-proofing requirement attached to it.
Requirement: The cost of tampering with the communication is in
excess of the specified amount.
Type: {
Abstract Currency,
Abstract Currency,
Abstract Currency
}
Meaning: cost to alter or destroy data,
cost to replay data (successfully),
cost to interfere with timeliness.
Scope: per stream
Strictest Requirement: Each budget of largest attacker
Example Application: stock price feed
Non-repudiation strength
The non-repudiation strength defines how much care is taken to
make sure there is a reliable audit trail on all interactions. It
is measured as the cost of faking an audit trail, and therefore
being able to "prove" an untrue event. There are a number of
possible parameters of the event that need to be proved. The
following list is not exclusive but shows the typical set of
requirements.
1. Time 2. Ordering (when relative to other events) 3. Whom 4.
What (the event itself)
There are a number of events that need to be provable. 1. sender
proved sent 2. receiver proves received 3. sender proves received.
Type: Abstract Currency
Meaning: minimum cost of faking or denying an event
Strictest Requirement: Budget of largest attacker
Scope: per stream
Example Application: Online shopping system
Denial of service
There may be a requirement for some systems (999,911,112 emergency
services access for example) that denial of service attacks cannot
be launched. While this is difficult (maybe impossible) in many
systems at the moment it is still a requirement, just one that
can't be met.
Type: Abstract Currency
Meaning: Cost of launching a denial of service
attack is greater than specified amount.
Strictest Requirement: budget of largest attacker
Scope: per stream
Example Application: web hosting, to prevent individual hackers
stalling system.
Action restriction
For any given communication there are a two actions, send and
receive. Operations like adding to members to a group are done as
a send to the membership list. Examining the list is a request to
and receive from the list. Other actions can be generalized to
send and receive on some communication, or are application level
not comms level issues.
Type: Membership list/rule for each action.
Meaning: predicate for determining permission for
role
Strictest Requirement: Send and receive have different policies.
Scope: per stream
Example Application: TV broadcast, sender policy defines
transmitter, receiver policy is null.
NB: Several actions may share the same
membership policy.
Privacy
Privacy defines how well obscured a principals identity is. This
could be for any interaction. A list of participants may be
obscured, a sender may obscure their identity when they send.
There are also different types of privacy. For example knowing two
messages were sent by the same person breaks the strongest type of
privacy even if the identity of that sender is still unknown. For
each "level" of privacy there is a cost associated with violating
it. The requirement is that this cost is excessive for the
attacker.
Type: {
Abstract Currency,
Abstract Currency,
Abstract Currency,
Abstract Currency
}
Meaning: Level of privacy, expected cost to violate
privacy level for:-
openly identified - this is the unprotected
case
anonymously identified - (messages from
the same sender can be linked)
unadvertised (but traceable) - meaning that
traffic can be detected and traced to
it's source or destination, this is a
breach if the very fact that two
specific principals are communicating
is sensitive.
undetectable
Strictest Requirement: All levels budget of attacker
Scope: per stream
Example Application: Secret ballot voting system
openly identified - budget of any
interested party
anonymously identified - zero
unadvertised - zero
undetectable - zero
Confidentiality
Confidentiality defines how well protected the content of a
communication is from snooping.
Type: Abstract Currency
Meaning: Level of Confidentiality, the cost of
gaining illicit access to the content of a
stream
Strictest Requirement: budget of attacker
Scope: per stream
Example Application: Secure email - value of transmitted
information
Retransmit prevention strength
This is extremely hard at the moment. This is not to say it's not
a requirement.
Type: Abstract Currency
Meaning: The cost of retransmitting a secure piece
of information should exceed the specified
amount.
Strictest Requirement: Cost of retransmitting value of
information
Scope: per stream
Membership Criteria
If a principal attempts to participate in a communication then a
check will be made to see if it is allowed to do so. The
requirement is that certain principals will be allowed, and others
excluded. Given the application is being protected from network
details there are only two types of specification available, per
user, and per organization (where an organization may contain
other organizations, and each user may be a member of multiple
organizations). Rules could however be built on properties of a
user, for example does the user own a key? Host properties could
also be used, so users on slow hosts or hosts running the wrong OS
could be excluded.
Type: Macros
Meaning: Include or exclude
users (list)
organizations (list)
hosts (list)
user properties (rule)
org properties (rule)
hosts properties (rule)
Strictest Requirement: List of individual users
Scope: per stream
Example Application: Corporate video-conference - organization
membership
Collusion prevention
Which aspects of collusion it is required to prevent. Collusion is
defined as malicious co-operation between members of a secure
session. Superficially, it would appear that collusion is not a
relevant threat in a multicast, because everyone has the same
information, however, wherever there is differentiation, it can be
exploited.
Type: {
Abstract Currency,
Abstract Currency,
Abstract Currency
}
Meaning: time race collusion - cost of colluding
key encryption key (KEK) sharing - cost of
colluding
sharing of differential QoS (not strictly
collusion as across sessions not within
one) - cost of colluding
Strictest Requirement: For all threats cost attackers
combined resources
Scope: per stream
Example Application: A race where delay of the start signal may
be allowed for, but one participant may
fake packet delay while receiving the start
signal from another participant.
NB: Time race collusion is the most difficult
one to prevent. Also note that while these
may be requirements for some systems this
does not mean there are necessarily
solutions. Setting tough requirements may
result in the middleware being unable to
create a valid channel.
Fairness
Fairness is a meta-requirement of many other requirements. Of
particular interest are Reliability and Timeliness requirements.
When a communication is first created the creator may wish to
specify a set of requirements for these parameters. Principals
which join later may wish to set tighter limits. Fairness enforces
a policy that any improvement is requirement by one principal must
be matched by all others, in effect requirements can only be set
for the whole group. This increases the likelihood that
requirements of this kind will fail to be met. If fairness if not
an issue then some parts of the network can use more friendly
methods to achieve those simpler requirements.
Type: Level of variance of the requirement that
needs to be fair. For example, if the
latency requirement states within 2
seconds, the level of fairness required may
be that variations in latency are not more
than 0.1s. This has in fact become an issue
in online gaming (e.g. Quake)
Meaning: The variance of performance with respect to
any other requirement is less than the
specified amount.
Scope: per stream, per requirement
Example Application: Networked game, latency to receive
positions of players must be within 5ms for
all players.
Action on compromise
The action to take on detection of compromise (until security
reassured).
Type: Enumeration
Meaning: warn but continue
pause
abort
Scope: Per stream
Strictest Requirement: pause
Example Application: Secure video conference - if intruder
alert, everyone is warned, but they can
continue while knowing not to discuss
sensitive matters (cf. catering staff
during a meeting).
3.2.8.1. Security Dynamics
Security dynamics are the temporal properties of the security
mechanisms that are deployed. They may affect other requirements
such as latency or simply be a reflection of the security
limitations of the system. The requirements are often concerned
with abnormal circumstances (e.g. system violation).
Mean time between compromises
This is not the same as the strength of a system. A fairly weak
system may have a very long time between compromises because it is
not worth breaking in to, or it is only worth it for very few
people. Mean time between compromises is a combination of
strength, incentive and scale.
Type: Time
Scope: Per stream
Strictest Requirement: indefinite
Example Application: Secure Shell - 1500hrs
Compromise detection time limit
The average time it must take to detect a compromise (one
predicted in the design of the detection system, that is).
Type: Time
Scope: Per stream
Strictest Requirement: Round trip time
Example Application: Secure Shell - 2secs
Compromise recovery time limit
The maximum time it must take to re-seal the security after a
breach. This combined with the compromise detection time limit
defines how long the system must remain inactive to avoid more
security breaches. For example if a compromise is detected in one
minute, and recovery takes five, then one minute of traffic is now
insecure and the members of the communication must remain silent
for four minutes after detection while security is re-established.
Type: Time
Scope: Per stream
Strictest Requirement: 1 second
Example Application: Audio conference - 10 seconds
3.2.9. Payment & Charging
Total Cost
The total cost of communication must be limited to this amount.
This would be useful for transfer as opposed to stream type
applications.
Type: Currency
Meaning: Maximum charge allowed
Scope: Per user per stream
Strictest Requirement: Free
Example Application: File Transfer: comms cost must be < 1p/Mb
Cost per Time
This is the cost per unit time. Some
applications may not be able to predict the
duration of a communication. It may be more
meaningful for those to be able to specify
price per time instead.
Type: Currency per timeS
Scope: Per user per stream
Strictest Requirement: Free
Example Application: Video Conference - 15p / minute
Cost per Mb
This is the cost per unit of data. Some communications may be
charged by the amount of data transferred. Some applications may
prefer to specify requirements in this way.
Type: Currency per data size
Scope: Per user per stream
Strictest Requirement: Free
Example Application: Email advertising - 15p / Mb
4. Security Considerations
See comprehensive security section of taxonomy.
5. References
[Bagnall98] Bagnall Peter, Poppitt Alan, Example LSMA
classifications, BT Tech report,
<URL:http://www.labs.bt.com/projects/mware/>
[limitations] Pullen, M., Myjak, M. and C. Bouwens, "Limitations of
Internet Protocol Suite for Distributed Simulation in
the Large Multicast Environment", RFC 2502, February
1999.
[rmodp] Open Distributed Processing Reference Model (RM-ODP),
ISO/IEC 10746-1 to 10746-4 or ITU-T (formerly CCITT)
X.901 to X.904. Jan 1995.
[blaze95] Blaze, Diffie, Rivest, Schneier, Shimomura, Thompson
and Wiener, Minimal Key Lengths for Symmetric Ciphers
to Provide Adequate Commercial Security, January 1996.
6. Authors' Addresses
Peter Bagnall c/o B54/77 BT Labs Martlesham Heath Ipswich, IP5 3RE England EMail: pete@surfaceeffect.com Home page: http://www.surfaceeffect.com/people/pete/ Bob Briscoe B54/74 BT Labs Martlesham Heath Ipswich, IP5 3RE England Phone: +44 1473 645196 Fax: +44 1473 640929 EMail: bob.briscoe@bt.com Home page: http://www.labs.bt.com/people/briscorj/ Alan Poppitt B54/77 BT Labs Martlesham Heath Ipswich, IP5 3RE England Phone: +44 1473 640889 Fax: +44 1473 640929 EMail: apoppitt@jungle.bt.co.uk Home page: http://www.labs.bt.com/people/poppitag/
7. Full Copyright Statement
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