Resource Central: Understanding and Predicting Workloads for Improved Resource Management in Large Cloud Platforms

SOSP '17: ACM SIGOPS 26th Symposium on Operating Systems Principles Shanghai China October, 2017, pp. 153-167, 2017.

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Abstract:

Cloud research to date has lacked data on the characteristics of the production virtual machine (VM) workloads of large cloud providers. A thorough understanding of these characteristics can inform the providers' resource management systems, e.g. VM scheduler, power manager, server health manager. In this paper, we first introduce an exte...More

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