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SWITCHED NETWORKS WITH MAXIMUM WEIGHT POLICIES: FLUID APPROXIMATION AND MULTIPLICATIVE STATE SPACE COLLAPSE
by
Wischik, Damon
, Shah, Devavrat
in
60K25
/ 60K30
/ 90B36
/ Approximation
/ Componentwise operations
/ Continuous functions
/ Fluid dynamics
/ fluid models
/ heavy traffic, diffusion approximation
/ Mathematical vectors
/ maximum weight scheduling
/ Optimization
/ Queueing networks
/ Queuing theory
/ Scheduling
/ state space collapse
/ Stochastic models
/ Switched network
/ Traffic
/ Trajectories
/ Wireless networks
/ Workloads
2012
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SWITCHED NETWORKS WITH MAXIMUM WEIGHT POLICIES: FLUID APPROXIMATION AND MULTIPLICATIVE STATE SPACE COLLAPSE
by
Wischik, Damon
, Shah, Devavrat
in
60K25
/ 60K30
/ 90B36
/ Approximation
/ Componentwise operations
/ Continuous functions
/ Fluid dynamics
/ fluid models
/ heavy traffic, diffusion approximation
/ Mathematical vectors
/ maximum weight scheduling
/ Optimization
/ Queueing networks
/ Queuing theory
/ Scheduling
/ state space collapse
/ Stochastic models
/ Switched network
/ Traffic
/ Trajectories
/ Wireless networks
/ Workloads
2012
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SWITCHED NETWORKS WITH MAXIMUM WEIGHT POLICIES: FLUID APPROXIMATION AND MULTIPLICATIVE STATE SPACE COLLAPSE
by
Wischik, Damon
, Shah, Devavrat
in
60K25
/ 60K30
/ 90B36
/ Approximation
/ Componentwise operations
/ Continuous functions
/ Fluid dynamics
/ fluid models
/ heavy traffic, diffusion approximation
/ Mathematical vectors
/ maximum weight scheduling
/ Optimization
/ Queueing networks
/ Queuing theory
/ Scheduling
/ state space collapse
/ Stochastic models
/ Switched network
/ Traffic
/ Trajectories
/ Wireless networks
/ Workloads
2012
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SWITCHED NETWORKS WITH MAXIMUM WEIGHT POLICIES: FLUID APPROXIMATION AND MULTIPLICATIVE STATE SPACE COLLAPSE
Journal Article
SWITCHED NETWORKS WITH MAXIMUM WEIGHT POLICIES: FLUID APPROXIMATION AND MULTIPLICATIVE STATE SPACE COLLAPSE
2012
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Overview
We consider a queueing network in which there are constraints on which queues may be served simultaneously; such networks may be used to model input-queued switches and wireless networks. The scheduling policy for such a network specifies which queues to serve at any point in time. We consider a family of scheduling policies, related to the maximum-weight policy of Tassiulas and Ephremides [IEEE Trans. Automat. Control 37 (1992) 1936-1948], for single-hop and multihop networks. We specify a fluid model and show that fluid-scaled performance processes can be approximated by fluid model solutions. We study the behavior of fluid model solutions under critical load, and characterize invariant states as those states which solve a certain network-wide optimization problem. We use fluid model results to prove multiplicative state space collapse. A notable feature of our results is that they do not assume complete resource pooling.
Publisher
Institute of Mathematical Statistics,The Institute of Mathematical Statistics
Subject
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