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Apollo: Scalable and Coordinated Scheduling for Cloud-Scale Computing
2014
USENIX Symposium on Operating Systems Design and Implementation
Efficiently scheduling data-parallel computation jobs over cloud-scale computing clusters is critical for job performance, system throughput, and resource utilization. It is becoming even more challenging with growing cluster sizes and more complex workloads with diverse characteristics. This paper presents Apollo, a highly scalable and coordinated scheduling framework, which has been deployed on production clusters at Microsoft to schedule thousands of computations with millions of tasks
dblp:conf/osdi/BoutinELSZQWZ14
fatcat:rqcpw5zh3jh7tjwk3gxwsthazm