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On the asymptotic optimality of the gradient scheduling algorithm for multiuser throughput allocation

Author
STOLYAR, Alexander L1
[1] Bell Laboratories, Lucent Technologies, 600 Mountain Ave., 2C-322, Murray Hill, New Jersey 07974, United States
Source

Operations research. 2005, Vol 53, Num 1, pp 12-25, 14 p ; ref : 20 ref

CODEN
OPREAI
ISSN
0030-364X
Scientific domain
Control theory, operational research
Publisher
Institute for Operations Research and the Management Sciences, Linthicum, MD
Publication country
United States
Document type
Article
Language
English
Author keyword
communications; queues: algorithms networks optimization; networks: stochastic
Keyword (fr)
File n serveurs Optimalité asymptotique Optimisation Ordonnancement Réseau file attente Réseau Télécommunication sans fil Télécommunication
Keyword (en)
Multiserver queue Asymptotic optimality Optimization Scheduling Queueing network Network Wireless telecommunication Telecommunication
Keyword (es)
Fila n servidores Optimización Reglamento Red cola espera Red Telecomunicación sin hilo Telecomunicación
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D01 Operational research. Management science / 001D01A Operational research and scientific management / 001D01A05 Queuing theory. Traffic theory

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04B Telecommunications / 001D04B03 Teleprocessing networks. Isdn

Discipline
Operational research. Management Telecommunications and information theory
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
16939209

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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