Brokering of Cloud Infrastructures Driven by Simulation of Scientific Workloads

Alba Amato (), Beniamino Martino (), Fatos Xhafa () and Salvatore Venticinque ()
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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

A chapter in Organizational Innovation and Change, 2016, pp 239-250 from Springer

Abstract: 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.

Keywords: Multi-agent systems; Broker; Cloud computing; Grid computing (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-319-22921-8_19

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DOI: 10.1007/978-3-319-22921-8_19

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