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Brokering of Cloud Infrastructures Driven by Simulation of Scientific Workloads

In: Organizational Innovation and Change

Author

Listed:
  • Alba Amato

    (Second University of Naples)

  • Beniamino Martino

    (Second University of Naples)

  • Fatos Xhafa

    (Universitat Politcnica de Catalunya (UPC))

  • Salvatore Venticinque

    (Second University of Naples)

Abstract

Cloud Computing has demonstrated to be attractive for different application fields, including scientific ones, that have already benefited from distributed environments like Grid. Nevertheless the main Grid model is static, so users cannot add or modify computational resources in accordance to their needs. Besides it is not possible to dynamically modify the resources on the basis of the real system workload. Elastic computing and pay per use business model of Cloud paradigm have been investigated to build a Grid infrastructure over virtual resources. In this paper we propose the integrated utilization of simulation techniques and service brokering to provide a decision support to the user, when it needs to choose the best Cloud infrastructure and provider that satisfy the performance requirements of its scientific application, whose workload is known.

Suggested Citation

  • Alba Amato & Beniamino Martino & Fatos Xhafa & Salvatore Venticinque, 2016. "Brokering of Cloud Infrastructures Driven by Simulation of Scientific Workloads," Lecture Notes in Information Systems and Organization, in: Cecilia Rossignoli & Mauro Gatti & Rocco Agrifoglio (ed.), Organizational Innovation and Change, edition 1, pages 239-250, Springer.
    • Handle: RePEc:spr:lnichp:978-3-319-22921-8_19
    DOI: 10.1007/978-3-319-22921-8_19
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