Conference
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