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

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

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 c...

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Bibliographic Details
Main Authors: Padmanabhan, Meghana, Li, Heyse, Tran, Tony T., Down, Douglas G., Beck, J. Christopher, Zhang, Yun
Other Authors: Massachusetts Institute of Technology. Institute for Data, Systems, and Society
Format: Article
Language:English
Published: Springer US 2018
Online Access:http://hdl.handle.net/1721.1/116657
https://orcid.org/0000-0002-0422-834X

Internet

http://hdl.handle.net/1721.1/116657
https://orcid.org/0000-0002-0422-834X

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