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Order@Cloud: An agnostic meta‐heuristic for VM provisioning, adaptation, and organisation

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  • Guilherme Geronimo
  • Rafael Uriarte
  • Carlos Westphall

Abstract

We propose a flexible meta‐heuristic framework for virtual machine (VM) organisation, provisioning, and adaptation in the cloud domain, based on migration costs and environment constraints. Order@Cloud improves VM placements according to multiple objectives represented by rules, qualifiers, and improvement cost, which can be easily modified and extended. Order@Cloud theoretically guarantees the adoption of a better set of placements, after considering their costs and benefits, by prioritising the worst VM placements. While existing solutions address only specific objectives, our framework is objective‐agnostic and extensible, which enables the adoption and implementation of new policies and priorities. We conduct experiments using a real cloud environment data and discuss the framework's performance, flexibility, and optimality and provide insights on the challenges and benefits of deploying this framework.

Suggested Citation

  • Guilherme Geronimo & Rafael Uriarte & Carlos Westphall, 2019. "Order@Cloud: An agnostic meta‐heuristic for VM provisioning, adaptation, and organisation," International Journal of Network Management, John Wiley & Sons, vol. 29(6), November.
    • Handle: RePEc:wly:intnem:v:29:y:2019:i:6:n:e2085
    DOI: 10.1002/nem.2085
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