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Performance Evaluation of Resource Management in Cloud Computing Environments

Author

Listed:
  • Bruno Guazzelli Batista
  • Julio Cezar Estrella
  • Carlos Henrique Gomes Ferreira
  • Dionisio Machado Leite Filho
  • Luis Hideo Vasconcelos Nakamura
  • Stephan Reiff-Marganiec
  • Marcos José Santana
  • Regina Helena Carlucci Santana

Abstract

Cloud computing is a computational model in which resource providers can offer on-demand services to clients in a transparent way. However, to be able to guarantee quality of service without limiting the number of accepted requests, providers must be able to dynamically manage the available resources so that they can be optimized. This dynamic resource management is not a trivial task, since it involves meeting several challenges related to workload modeling, virtualization, performance modeling, deployment and monitoring of applications on virtualized resources. This paper carries out a performance evaluation of a module for resource management in a cloud environment that includes handling available resources during execution time and ensuring the quality of service defined in the service level agreement. An analysis was conducted of different resource configurations to define which dimension of resource scaling has a real influence on client requests. The results were used to model and implement a simulated cloud system, in which the allocated resource can be changed on-the-fly, with a corresponding change in price. In this way, the proposed module seeks to satisfy both the client by ensuring quality of service, and the provider by ensuring the best use of resources at a fair price.

Suggested Citation

  • Bruno Guazzelli Batista & Julio Cezar Estrella & Carlos Henrique Gomes Ferreira & Dionisio Machado Leite Filho & Luis Hideo Vasconcelos Nakamura & Stephan Reiff-Marganiec & Marcos José Santana & Regin, 2015. "Performance Evaluation of Resource Management in Cloud Computing Environments," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-21, November.
    • Handle: RePEc:plo:pone00:0141914
    DOI: 10.1371/journal.pone.0141914
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    References listed on IDEAS

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    1. Shuai Ding & Chen-Yi Xia & Kai-Le Zhou & Shan-Lin Yang & Jennifer S Shang, 2014. "Decision Support for Personalized Cloud Service Selection through Multi-Attribute Trustworthiness Evaluation," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-11, June.
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