通过资源自适应批处理虚拟机提高服务器利用率:海报

Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference: Posters and Demos Pub Date : 2017-12-11 DOI:10.1145/3155016.3155025

S. A. Javadi, Piyush Shyam Banginwar, Vaishali Chanana, Rashmi Narvekar, Mitesh Kumar Savita, Anshul Gandhi

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引用次数: 0

摘要

公有云数据中心往往存在资源利用率低的问题[1]。为了提高利用率，最近的研究提出在客户vm旁边运行批处理工作负载以利用空闲资源[6]。虽然有效，但这里的关键挑战是干扰——由于与底层主机服务器上的批处理工作负载虚拟机的资源争用，并置的客户虚拟机的性能下降[5]。

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Improving server utilization via resource-adaptive batch VMs: poster

Public cloud data centers often suffer from low resource utilization [1]. To increase utilization, recent works have proposed running batch workloads next to customer VMs to leverage idle resources [6]. While effective, the key challenge here is interference - the performance degradation of the colocated customer VMs due to resource contention with batch workload VMs at the underlying host server [5].

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Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference: Posters and Demos

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