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Multi-stage resource-aware scheduling for data...
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Multi-stage resource-aware scheduling for data centers with heterogeneous servers

Abstract

This paper presents a three-stage algorithm for resource-aware scheduling of computational jobs in a large-scale heterogeneous data center. The algorithm aims to allocate job classes to machine configurations to attain an efficient mapping between job resource request profiles and machine resource capacity profiles. The first stage uses a queueing model that treats the system in an aggregated manner with pooled machines and jobs represented as …

Authors

Tran TT; Padmanabhan M; Zhang PY; Li H; Down DG; Beck JC

Volume

21

Pagination

pp. 251-267

Publisher

Springer Nature

Publication Date

April 2018

DOI

10.1007/s10951-017-0537-x

Conference proceedings

Journal of Scheduling

Issue

2

ISSN

1094-6136