Learning scheduling algorithms for data processing clusters

Learning scheduling algorithms for data processing clusters

© 2019 Association for Computing Machinery. Efficiently scheduling data processing jobs on distributed compute clusters requires complex algorithms. Current systems use simple, generalized heuristics and ignore workload characteristics, since developing and tuning a scheduling policy for each worklo...

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Bibliographic Details
Main Authors: Mao, Hongzi, Schwarzkopf, Malte, Venkatakrishnan, Shaileshh Bojja, Meng, Zili, Alizadeh, Mohammad
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: Association for Computing Machinery (ACM) 2021
Online Access:https://hdl.handle.net/1721.1/137428

Internet

https://hdl.handle.net/1721.1/137428

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