History-Based Harvesting of Spare Cycles and Storage in Large-Scale Datacenters

OSDI, pp. 755-770, 2016.

Cited by: 48|Views84
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Abstract:

An effective way to increase utilization and reduce costs in datacenters is to co-locate their latency-critical services and batch workloads. In this paper, we describe systems that harvest spare compute cycles and storage space for co-location purposes. The main challenge is minimizing the performance impact on the services, while accoun...More

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