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Economy Based Resource Allocation in IaaS Cloud

Author

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  • Hemant Kumar Mehta

    (School of Computer Science and IT, Devi Ahilya University, Indore, Madhya Pradesh, India)

  • Eshan Gupta

    (Department of Computer Science and Engineering, Institute of Professional Studies College of Technology & Management, Gwalior, Madhya Pradesh, India)

Abstract

Infrastructure as a Service (IaaS) offers hardware resources (computing power, storage and network) as a service to its customers. The customers order these resources in the form of a lease. Aim of any service provider is to make a leasing plan to maximize the number of accepted leases. Opennebula is popular open source toolkit for building IaaS cloud. Opennebula has its own lease manager and it can also be integrated with Haizea which is an open source lease manager. An economy based algorithm should focus on incentives of both the consumers and the providers. In this paper, an economy based leasing algorithm is developed and integrated with Haizea. This economy based algorithm takes care of incentives of both the parties i.e. customer and service provider. It uses the concept of optimization techniques to optimize the costs. The incentive for customers is lower cost of execution of its lease on the capable node as compare to existing non-economy based algorithms. If an appropriate resource is not found, then the algorithm uses negotiation on budget and resource demand; that increases the number of accepted lease. Thus, incentive for providers is an increase in profit as the amount of accepted leases increase. Experimental results show that the proposed economy based leasing algorithm reduces the cost of execution of the consumer’s lease and increases the profit of the provider to a considerable extent.

Suggested Citation

  • Hemant Kumar Mehta & Eshan Gupta, 2013. "Economy Based Resource Allocation in IaaS Cloud," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 3(2), pages 1-11, April.
  • Handle: RePEc:igg:jcac00:v:3:y:2013:i:2:p:1-11
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