Bandwidth allocation for multiple qualities of service using generalized processor sharing

We consider the asymptotic behavior of the queue length distribution in segregated buffers sharing a deterministic server via a class of generalized processor sharing (GPS) policies. Such policies have been proposed as a means to guarantee individual quality of service constraints to heterogeneous s...

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Published inIEEE transactions on information theory Vol. 42; no. 1; pp. 268 - 272
Main Authors de Veciana, G., Kesidis, G.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.01.1996
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN0018-9448
1557-9654
DOI10.1109/18.481801

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Abstract We consider the asymptotic behavior of the queue length distribution in segregated buffers sharing a deterministic server via a class of generalized processor sharing (GPS) policies. Such policies have been proposed as a means to guarantee individual quality of service constraints to heterogeneous streams in integrated services digital networks. These results exhibit the manner in which spare capacity is shared by statistically multiplexed traffic streams. The framework corresponds to a natural relaxation of a single GPS node subject to (/spl sigma/, /spl rho/)-constrained flows where, instead of studying the worst case behavior, we consider statistical bounds on the performance of individual traffic streams.
AbstractList We consider the asymptotic behavior of the queue length distribution in segregated buffers sharing a deterministic server via a class of generalized processor sharing (GPS) policies. Such policies have been proposed as a means to guarantee individual quality of service constraints to heterogeneous streams in integrated services digital networks. These results exhibit the manner in which spare capacity is shared by statistically multiplexed traffic streams. The framework corresponds to a natural relaxation of a single GPS node subject to (/spl sigma/, /spl rho/)-constrained flows where, instead of studying the worst case behavior, we consider statistical bounds on the performance of individual traffic streams.
de Veciana and Kesidis consider the asymptotic behavior of the queue length distribution in segregated buffers sharing a deterministic server via a class of generalized processor sharing (GPS) policies.
We consider the asymptotic behavior of the queue length distribution in segregated buffers sharing a deterministic server via a class of generalized processor sharing (GPS) policies. Such policies have been proposed as a means to guarantee individual quality of service constraints to heterogeneous streams in integrated services digital networks. These results exhibit the manner in which spare capacity is shared by statistically multiplexed traffic streams. The framework corresponds to a natural relaxation of a single GPS node subject to (sigma, rho)-constrained flows where, instead of studying the worst case behavior, we consider statistical bounds on the performance of individual traffic streams
Author Kesidis, G.
de Veciana, G.
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Snippet We consider the asymptotic behavior of the queue length distribution in segregated buffers sharing a deterministic server via a class of generalized processor...
de Veciana and Kesidis consider the asymptotic behavior of the queue length distribution in segregated buffers sharing a deterministic server via a class of...
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SubjectTerms Bandwidth
Bandwidths
Channel allocation
Circuits
Communications networks
Global Positioning System
Packet switching
Quality of service
Queuing
Servers
Streaming media
Telecommunication traffic
Telephony
Traffic control
Title Bandwidth allocation for multiple qualities of service using generalized processor sharing
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