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The GridEcon Platform: A Business Scenario Testbed for Commercial Cloud Services

Author

Listed:
  • Marcel Risch
  • Jorn Altmann
  • Li Guo
  • Alan Fleming
  • Costas Courcoubetis

    (Technology Management, Economics, and Policy Program (TEMEP), Seoul National University)

Abstract

Within this paper, we present the GridEcon Platform, a testbed for designing and evaluating economics-aware services in a commercial Cloud computing setting. The Platform is based on the idea that the exact working of such services is difficult to predict in the context of a market and, therefore, an environment for evaluating its behavior in an emulated market is needed. To identify the components of the GridEcon Platform, a number of economics-aware services and their interactions have been envisioned. The two most important components of the platform are the Marketplace and the Workflow Engine. The Workflow Engine allows the simple composition of a market environment by describing the service interactions between economics-aware services. The Marketplace allows trading goods using different market mechanisms. The capabilities of these components of the GridEcon Platform in conjunction with the economics-aware services are described in this paper in detail. The validation of an implemented market mechanism and a capacity planning service using the GridEcon Platform also demonstrated the usefulness of the GridEcon Platform.

Suggested Citation

  • Marcel Risch & Jorn Altmann & Li Guo & Alan Fleming & Costas Courcoubetis, 2010. "The GridEcon Platform: A Business Scenario Testbed for Commercial Cloud Services," TEMEP Discussion Papers 201039, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Jan 2010.
    • Handle: RePEc:snv:dp2009:201039
    as

    Download full text from publisher

    File URL: http://temep-repec.my-groups.de/DP-39.pdf
    File Function: First version, 2010
    Download Restriction: no
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    References listed on IDEAS

    as
    1. Kevin Lai & Lars Rasmusson, 2005. "Tycoon: an Implementation of a Distributed, Market-based Resource Allocation System," Computing in Economics and Finance 2005 6, Society for Computational Economics.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Ivan Breskovic & Ivona Brandic & Jorn Altmann, 2013. "Maximizing Liquidity in Cloud Markets through Standardization of Computational Resources," TEMEP Discussion Papers 2013100, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Feb 2013.
    2. Ivan Breskovic & Jorn Altmann & Ivona Brandic, 2012. "Creating Standardized Products for Electronic Markets," TEMEP Discussion Papers 201296, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Sep 2012.
    3. Jorn Altmann & Costas Courcoubetis & Marcel Risch, 2010. "A Marketplace and its Market Mechanism for Trading Commoditized Computing Resources," TEMEP Discussion Papers 201059, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Mar 2010.
    4. Michael Maurera & Vincent C. Emeakarohaa & Ivona Brandica & Jorn Altmann, 2011. "Cost–Benefit Analysis of an SLA Mapping Approach for Defining Standardized Cloud Computing Goods," TEMEP Discussion Papers 201177, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Jul 2011.
    5. Azamat Uzbekov & Jörn Altmann, 2016. "Enabling Business-Preference-Based Scheduling of Cloud Computing Resources," TEMEP Discussion Papers 2016134, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Apr 2017.

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    More about this item

    Keywords

    Cloud computing; Grid computing; marketplace for computing resources; market-based resource allocation; service-oriented architectures; utility computing; market emulation tool; market mechanism;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • 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
    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools
    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • L21 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Business Objectives of the Firm
    • L22 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Organization and Market Structure
    • 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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