Heterogeneous Resource Allocation in Shared Datacenters
2016
Allocating heterogeneous resource types among multiple clients in a shared datacenter is challenging. Traditionalresource allocation models have largely been designed to provide QoS for a single resource type, and result in poor utilization and fairness when applied to multiple coupled resources. In this paper we present a new formal model for allocating multiple resource types among clients to provide both fairness and high system utilization. The model and algorithms are validated with empirical results.
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