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