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Steady‐state analysis of load balancing with Coxian‐2 distributed service times

Steady-state analysis of load balancing with Coxian-2 distributed service times
Authors: Xin Liu; Kang Gong; Lei Ying;

Steady‐state analysis of load balancing with Coxian‐2 distributed service times

Abstract

AbstractThis paper studies load balancing for many‐server (N servers) systems. Each server has a buffer of size b − 1, and can have at most one job in service and b − 1 jobs in the buffer. The service time of a job follows the Coxian‐2 distribution. We focus on steady‐state performance of load balancing policies in the heavy traffic regime such that the normalized load of system is λ = 1 − N−α for 0 < α < 0.5. We identify a set of policies that achieve asymptotic zero waiting. The set of policies include several classical policies such as join‐the‐shortest‐queue (JSQ), join‐the‐idle‐queue (JIQ), idle‐one‐first (I1F) and power‐of‐d‐choices (Po d) with d = O(Nα log N). The proof of the main result is based on Stein's method and state space collapse. A key technical contribution of this paper is the iterative state space collapse approach that leads to a simple generator approximation when applying Stein's method.

Country
United States
Keywords

steady‐state analysis, Science, load balancing, Probability (math.PR), Stein’s method, steady-state analysis, Queueing theory (aspects of probability theory), Stochastic network models in operations research, Statistics (Mathematical), Coxian-2 service, state space collapse, heavy traffic regime, FOS: Mathematics, Stein's method, Coxian‐2 service, Queues and service in operations research, Mathematics - Probability

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Average
Top 10%
Green
bronze