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Business Support Service Platform for Providers in Open Cloud Computing Markets

Author

Listed:
  • Jorn Altmann

    () (College of Engineering, Seoul National University)

  • Matthias Hovestadt

    () (Technische Universitat Berlin)

  • Odej Kao

    () (Technische Universitat Berlin)

Abstract

Cloud computing faces two business-related issues. First, the management of clouds requires not only technical skills but also the understanding of the business side of these systems. Traditional distributed systems research did not require this understanding, simply assuming that all components involved are willing to cooperate according to the resource allocation algorithm prescribed. This cooperation assumption is not valid anymore if clouds are commercial. Secondly, the demand of cloud customers can cause demand spikes at any time, raising the questions on how to allocate the limited resources. Consequently, a real-time view of the provider’s business with respect to revenue streams and costs becomes essential for cloud providers. Such a system helps them to respond in an economically efficient way. From the user perspective, the understanding of the different offerings of clouds is also becoming none-trivial, requiring a support in selecting the best-fitting cloud service. A solution to these two issues is the use of business economics. The objective of this work is to lay out a concept and design of a business support service platform, which is called Cloud Management Cockpit (CMC), which uses business economics for giving decision support to providers for managing clouds and for using clouds. The applications of the CMC are laid out in three scenarios. They highlight the usefulness of the CMC business support models and demonstrate how CMC enables platform interoperability, service composition, and reduces complexity of clouds.

Suggested Citation

  • Jorn Altmann & Matthias Hovestadt & Odej Kao, 2011. "Business Support Service Platform for Providers in Open Cloud Computing Markets," TEMEP Discussion Papers 201179, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Sep 2011.
  • Handle: RePEc:snv:dp2009:201179
    as

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    File URL: ftp://147.46.237.98/DP-79.pdf
    File Function: First version, 2011
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    References listed on IDEAS

    as
    1. Marcel Risch & Jorn Altmann, 2010. "Capacity Planning in Economic Grid Markets," TEMEP Discussion Papers 201045, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Jan 2010.
    2. Dang Minh Quan & Jorn Altmann, 2010. "Grid Business Models for Brokers Executing SLA-Based Workflows," TEMEP Discussion Papers 201046, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Jan 2010.
    3. Ashraf Bany Mohammed & Jorn Altmann & Junseok Hwang, 2010. "Cloud Computing Value Chains Understanding Businesses and Value Creation in the Cloud," TEMEP Discussion Papers 201061, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Jun 2010.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Mohammad Mahdi Kashef & Azamat Uzbekov & Jorn Altmann & Matthias Hovestadt, 2013. "Comparison of Two Yield Management Strategies for Cloud Service Providers," TEMEP Discussion Papers 2013103, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised May 2013.
    2. Netsanet Haile & Jorn Altmann, 2015. "Risk-Benefit-Mediated Impact of Determinants on the Adoption of Cloud Federation," TEMEP Discussion Papers 2015122, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised May 2015.

    More about this item

    Keywords

    Cloud architecture; cloud economics; business economics; optimization; cloud markets.;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics

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