S. Costache, Tommaso Madonia, A. Tantawi, M. Steinder
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引用次数: 0
Abstract
Hosting data analytics services is challenging as their workload is often composed of on-line (e.g., interactive or streaming), requiring fast on-demand provisioning, and batch jobs. As workload demand fluctuations lead to varying idle capacity, efficient resource management is difficult, in particular given different provider objectives, e.g., utilization, revenue.
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