Friday, March 16, 2018

Friday, March 16, 2018 — 1:30 PM EDT

Cong Guo, PhD candidate
David R. Cheriton School of Computer Science

Consolidation of multiple workloads is cost-effective for system operators. However, it is difficult to determine how to share resources among multiple tenants to achieve both performance isolation and work conservation. The primary shared resource in the server are the CPU cores. We show that current solutions cannot handle CPU sharing very well in various multi-tenancy scenarios.

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