aims workshop heidelberg, 9-11 march 1998 piet van mieghem basic functionality of quality of service...
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AIMS WorkshopHeidelberg, 9-11 March 1998 Piet Van Mieghem
Basic Functionality of
Quality of Service in
Multimedia Networks
Piet Van Mieghem
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AIMS WorkshopHeidelberg, 9-11 March 1998 Piet Van Mieghem
Outline
Introduction
Multimedia
QoS market trends
Packet networks & statistical multiplexing
QoS : What?
Basic Network functionality required
Conclusions
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AIMS WorkshopHeidelberg, 9-11 March 1998 Piet Van Mieghem
Outline
Introduction
QoS : What?
Conclusions
![Page 4: AIMS Workshop Heidelberg, 9-11 March 1998 Piet Van Mieghem Basic Functionality of Quality of Service in Multimedia Networks Piet Van Mieghem](https://reader036.vdocuments.us/reader036/viewer/2022083009/5697bf891a28abf838c89c5b/html5/thumbnails/4.jpg)
AIMS WorkshopHeidelberg, 9-11 March 1998 Piet Van Mieghem
Evolution
Advances in Micro-electronicsAdvances in Micro-electronics
Fast computersFast computers
MultimediaMultimedia
Data WorldData Worldnon-real timenon-real time
Telecom WorldTelecom Worldreal-timereal-time
best of both worlds
High speed networksHigh speed networks
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AIMS WorkshopHeidelberg, 9-11 March 1998 Piet Van Mieghem
Multimedia Marketing Trends
Even if a minority asks for QoS, the network provider is forced to invest in QoS to maintain (or enlarge) its market share
QoS provisioning linked to pricing will be a competitive weapon in future telecommunications networks
MULTIMEDIADiscovery of
Internet(Connectivity)
Attractionto Internet
(Simplicity)
Used to Internet
Frustration withlow QoS
inherent in best effort
Willing to pay for QoS
guarantees
ubiquitousguaranteed qualitylow costBusiness
on Internet
TODAY
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AIMS WorkshopHeidelberg, 9-11 March 1998 Piet Van Mieghem
Customer Centric Evolution
QoS Complexity
QoS granularity
BE prioritised BE
impact ofguaranteed
QoS
CoSCustomer fine-tuned QoS
Time
flat fee detailed invoice
end system
networkcentric
CL
CO
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AIMS WorkshopHeidelberg, 9-11 March 1998 Piet Van Mieghem
Stochastic Nature of Information
Prob[x< S< x+dx]
S(t)
t
x correlation depth k
k
R(k) = E[S(t+k)S(t)]
E[S]
max(S)
burst size
PCR
SCR
MBS
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AIMS WorkshopHeidelberg, 9-11 March 1998 Piet Van Mieghem
Statistical Multiplexing
4
3
2
1
0120100806040200
time (ms)
4
3
2
1
0120100806040200
time (ms)
bandwidth (Mb/s) bandwidth (Mb/s)
No statistical multiplexing PCR = 4 Mb/s
Statistical multiplexingmin. capacity: 3.4 Mb/s
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AIMS WorkshopHeidelberg, 9-11 March 1998 Piet Van Mieghem
Outline
Introduction
QoS : What?
Conclusions
![Page 10: AIMS Workshop Heidelberg, 9-11 March 1998 Piet Van Mieghem Basic Functionality of Quality of Service in Multimedia Networks Piet Van Mieghem](https://reader036.vdocuments.us/reader036/viewer/2022083009/5697bf891a28abf838c89c5b/html5/thumbnails/10.jpg)
AIMS WorkshopHeidelberg, 9-11 March 1998 Piet Van Mieghem
QOS: definition
Application layer: Grade of Service (GOS) hard to define precisely (perceived quality, human appraisal)
alternative definition: GoS is related to blocking/failures
Transport layer: QoS routing (end-to-end) path through network subject to QoS requirements
Network layer : Quality of Service (QoS)
a measure (a ratio, a maximum, an average/variance/ quantile of a probability distribution,...) acting on a property (a loss, a delay, a cost, ...) of a cell/packet flow
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AIMS WorkshopHeidelberg, 9-11 March 1998 Piet Van Mieghem
QoS Associations
QoS is related to RESOURCES in the network
states in the network, basically CO in practice
end systems cannot control network resources
driver to a network centric view
current Internet
opportunity for network operators and network manufacturers
Control of QoS (i.e. control of resources) is key
resources = assets = money/capital
QoS control implies OPTIMALITY, because suboptimal control simply means loss of revenue
importance of Admission Control
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AIMS WorkshopHeidelberg, 9-11 March 1998 Piet Van Mieghem
Basic Network Functionality for QoS provisioning
Functionality
real-time notion
multiparameter routing
signalling
traffic managementadmission controlinput controlfailure controlqueue controlpriority control
ATM IP
AAL1
PNNI
PNNI/BISUP
ATC’svendor specificGCRAvendor specificintelligent schedulingPOB,PBS,HOL,EPD,..
RTP
QoSR (still empty)
RSVP (partly)
Integrated Services(current efforts)
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AIMS WorkshopHeidelberg, 9-11 March 1998 Piet Van Mieghem
QoS Routing
QoS Routing = Multiple parameter routing subject to constraints
Link metrics are vectors
NP-complete good heuristics needed
Policy Routing is related to QoS routing
Routing with partial information
A
B C D
EF G
H
IJ
K
delay: 10 msbandwidth :100 Mb/scell loss ratio: 1.0e-6administrative weight: 4
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AIMS WorkshopHeidelberg, 9-11 March 1998 Piet Van Mieghem
Signalling
ATM Network
setupsetup
setupcall
proceedingcall
proceedingconnect
connectconnect
connect ack connect ack
connect ack
setup time
Functionality that transports control information for installing resources along the path of each individual flow (or connection)
consequence of CO-mode
* Complex protocols* Limited number of connections
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AIMS WorkshopHeidelberg, 9-11 March 1998 Piet Van Mieghem
Traffic Management
Final (nodal) decision on installing resources:
admission function (CAC)
CAC is inherently difficult
Need for input control
never trust the user
check the contracted traffic parameters
Congestion functionality
Various ATM bearer capabilities (DBR, SBR, UBR, ABR, GFR, ...) or Internet services (guaranteed service, controlled load, BE)
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AIMS WorkshopHeidelberg, 9-11 March 1998 Piet Van Mieghem
Outline
Introduction
QoS : What?
Conclusions
![Page 17: AIMS Workshop Heidelberg, 9-11 March 1998 Piet Van Mieghem Basic Functionality of Quality of Service in Multimedia Networks Piet Van Mieghem](https://reader036.vdocuments.us/reader036/viewer/2022083009/5697bf891a28abf838c89c5b/html5/thumbnails/17.jpg)
AIMS WorkshopHeidelberg, 9-11 March 1998 Piet Van Mieghem
QoS : Summary
Multimedia will evolve to QoS-awareness and eventually to QoS guarantees
No smooth evolution from BE to guaranteed QoS provisioningQoS complexity sky-rockets due to guarantees
QoS is complex and requires additional network functionality
QoS is linked to revenue (money) via network resourcesQoS is associated with optimality
Optimal QoS Control needs stochastic analysisStill a long way to go