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Cost Optimization Model for Business Applications in Virtualized Grid Environments

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Grid Economics and Business Models (GECON 2009)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 5745))

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Abstract

The advent of Grid computing gives enterprises an ever increasing choice of computing options, yet research has so far hardly addressed the problem of mixing the different computing options in a cost-minimal fashion. The following paper presents a comprehensive cost model and a mixed integer optimization model which can be used to minimize the IT expenditures of an enterprise and help in decision-making when to outsource certain business software applications. A sample scenario is analyzed and promising cost savings are demonstrated. Possible applications of the model to future research questions are outlined.

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Author information

Authors and Affiliations

  1. Universität Karlsruhe (TU), 76131, Karlsruhe, Germany

    Jörg Strebel

Authors
  1. Jörg Strebel
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Editor information

Editors and Affiliations

  1. TEMEP, School of Industrial and Management Engineering, Seoul National University, 599 Gwanak-Ro, Gwanak-Gu, 151-742, Seoul, South Korea

    Jörn Altmann

  2. Grid Computing and Distributed Systems (GRIDS) Laboratory, Department of Computer Science and Software Engineering, University of Melbourne, 111, Barry Street, Carlton, 3053, Melbourne, VIC, Australia

    Rajkumar Buyya

  3. School of Computer Science/Welsh eScience Centre, Cardiff University, Queen’s Buildings, Newport Road, CF24 3AA, Cardiff, United Kingdom

    Omer F. Rana

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Strebel, J. (2009). Cost Optimization Model for Business Applications in Virtualized Grid Environments. In: Altmann, J., Buyya, R., Rana, O.F. (eds) Grid Economics and Business Models. GECON 2009. Lecture Notes in Computer Science, vol 5745. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03864-8_6

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  • DOI: https://doi.org/10.1007/978-3-642-03864-8_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03863-1

  • Online ISBN: 978-3-642-03864-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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