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Joining the shortest queue, non-elliptic reflected diffusions and stationarity Banerjee, Sayan
Description
Consider a system of N parallel single-server queues with unit-exponential service time distribution and a single dispatcher where tasks arrive as a Poisson process of rate l(N). When a task arrives, the dispatcher assigns it to one of the servers according to the Join-the-Shortest Queue (JSQ) policy. Eschenfeldt and Gamarnik (2015) established that appropriately scaled functionals of the queueing network under the JSQ policy converge weakly to associated functionals for a certain non-elliptic reflected diffusion process as N grows. I will talk about analyzing the detailed behavior of the steady state of this non-standard diffusion process using tools from renewal theory. The tails and bulk behavior of the steady state distribution and sample path fluctuations of the diffusion process will be explored. We will also see how the steady state shows a stark difference in behavior between two regimes governed by a system parameter. This is joint work with Debankur Mukherjee.
Item Metadata
Title |
Joining the shortest queue, non-elliptic reflected diffusions and stationarity
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Creator | |
Publisher |
Banff International Research Station for Mathematical Innovation and Discovery
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Date Issued |
2019-05-21T09:50
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Description |
Consider a system of N parallel single-server queues with unit-exponential service time distribution and a single dispatcher where tasks arrive as a Poisson process of rate l(N). When a task arrives, the dispatcher assigns it to one of the servers according to the Join-the-Shortest Queue (JSQ) policy. Eschenfeldt and Gamarnik (2015) established that appropriately scaled functionals of the queueing network under the JSQ policy converge weakly to associated functionals for a certain non-elliptic reflected diffusion process as N grows. I will talk about analyzing the detailed behavior of the steady state of this non-standard diffusion process using tools from renewal theory. The tails and bulk behavior of the steady state distribution and sample path fluctuations of the diffusion process will be explored. We will also see how the steady state shows a stark difference in behavior between two regimes governed by a system parameter. This is joint work with Debankur Mukherjee.
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Extent |
43.0 minutes
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Type | |
File Format |
video/mp4
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Language |
eng
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Notes |
Author affiliation: University of North Carolina, Chapel Hill
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Series | |
Date Available |
2019-11-18
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0385520
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URI | |
Affiliation | |
Peer Review Status |
Unreviewed
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Scholarly Level |
Researcher
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International