Pricing and Resource Allocation in a Cloud Computing Market

  • Authors:
  • Linna Du

  • Affiliations:
  • -

  • Venue:
  • CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
  • Year:
  • 2012

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Abstract

The problem is identified as a pricing driven virtual machine (VM) revenue maximization problem with Markovian traffics in a cloud market composed of hybrid cloud and public cloud. A pooled resource allocation model is built followed by numerical tests. The results indicate that hybrid cloud performs the best and the resource allocation model helps optimally allocate the pooled resources.