IO Performance Prediction in Consolidated Virtualized Environments

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Provided by: Imperial College London
Topic: Data Centers
Format: WORD
The authors proposed a trace-driven approach to predict the performance degradation of disk request response times due to storage device contention in consolidated virtualized environments. Their performance model evaluates a queueing network with fair share scheduling using trace-driven simulation. The model parameters can be deduced from measurements obtained inside Virtual Machines (VMs) from a system where a single VM accesses a remote storage server. The parameterized model can then be used to predict the effect of storage contention when multiple VMs are consolidated on the same virtualized server. The model parameter estimation relies on a search technique that tries to estimate the splitting and merging of blocks at the Virtual Machine Monitor (VMM) level in the case of multiple competing VMs.
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