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2015 | OriginalPaper | Chapter

Mean-Field Analysis for Heterogeneous Work Stealing Models

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Abstract

In this paper, we provide a simple framework for applying the mean-field theory to dealing with a heterogeneous work stealing model of M clusters, each of which consists of N same servers and operates under two types of work stealing schemes: One within a cluster, and another between any two clusters. We first set up an infinite-dimensional system of mean-field equations, which is related to the M clusters. Then we use the martingale limit theory to prove the asymptotic independence of this heterogeneous work stealing model. Finally, we analyze and compute the fixed point, which can give performance analysis of this heterogeneous stealing model.

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Metadata
Title
Mean-Field Analysis for Heterogeneous Work Stealing Models
Authors
Quan-Lin Li
Feifei Yang
Copyright Year
2015
DOI
https://doi.org/10.1007/978-3-319-25861-4_3

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