DejaVu: Accelerating Resource Allocation in Virtualized Environments

Effective resource management of virtualized environments is a challenging task. State-of-the-art management systems either rely on analytical models or evaluate resource allocations by running actual experiments. However, both approaches incur a significant overhead once the workload changes. The former needs to recalibrate and re-validate models, whereas the latter has to run a new set of experiments to select a new resource allocation. During the adaptation period, the system may run with an inefficient configuration.


Published in:
Proceedings of the Seventeenth International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)
Presented at:
Seventeenth International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), March 2012
Year:
2012
Publisher:
Acm Order Department, P O Box 64145, Baltimore, Md 21264 Usa
Keywords:
Laboratories:




 Record created 2011-10-27, last modified 2018-09-13

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