Virtual Machine Resource Allocation for Service Hosting on Heterogeneous Distributed Platforms

Provided by: INRIA
Topic: Cloud
Format: PDF
The authors propose algorithms for allocating multiple resources to competing services running in virtual machines on heterogeneous distributed platforms. They develop a theoretical problem formulation and compare these algorithms via simulation experiments based in part on workload data supplied by Google. Their main finding is that vector packing approaches proposed in the homogeneous case can be extended to provide high-quality solutions in the heterogeneous case, and combined to provide a single efficient algorithm. They also consider the case when there may be bounded errors in estimates of performance-related resource needs.

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