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Maximizing Liquidity in Cloud Markets through Standardization of Computational Resources

Author

Listed:
  • Ivan Breskovic

    (Distributed Systems Group, Institute of Information Systems, Vienna University of Technology)

  • Ivona Brandic

    (Distributed Systems Group, Institute of Information Systems, Vienna University of Technology)

  • Jorn Altmann

    (College of Engineering, Seoul National University)

Abstract

Low liquidity of cloud markets can result in market instability and inefficiency, preventing the successful implementation of ubiquitous computing on demand. To circumvent this issue, it has been suggested to channel demand and supply into a limited number of standardized services. These standardized services can even be automatically adapted to user requirements with the goal of continuously improving market performance. In this paper, we focus on answering how many standardized services should be placed in the market. This work is based on a new definition of liquidity for cloud resources, which in turn has been derived from liquidity definitions of financial markets. Using a simulation framework, we evaluate our method for estimating the optimal quantity of standardized services with respect to market liquidity and demonstrate the benefits of this approach in terms of increase in market efficiency and decrease in users' cost of participation in the market. The methods presented in this paper have the potential to be applied in other electronic markets as well.

Suggested Citation

  • 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.
  • Handle: RePEc:snv:dp2009:2013100
    as

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    File URL: http://temep-repec.my-groups.de/DP-100.pdf
    File Function: First version, 2013
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    References listed on IDEAS

    as
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    6. Ivan Breskovic & Michael Maurer & Vincent C. Emeakaroha & Ivona Brandic & Jorn Altmann, 2011. "Achieving Market Liquidity through Autonomic Cloud Market Management," TEMEP Discussion Papers 201180, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Aug 2011.
    7. 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.
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    12. 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.
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    14. Ivan Breskovic & Michael Maurer & Vincent C. Emeakaroha & Ivona Brandic & Jorn Altmann, 2011. "Towards Autonomic Market Management in Cloud Computing Infrastructures," TEMEP Discussion Papers 201174, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Apr 2011.
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    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Kibae Kim & Songhee Kang & Jorn Altmann, 2014. "Cloud Goliath Versus a Federation of Cloud Davids: Survey of Economic Theories on Cloud Federation," TEMEP Discussion Papers 2014117, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Jul 2014.
    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.

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    More about this item

    Keywords

    Service Level Agreement; Electronic Markets; Cloud Economics; Autonomic Computing; Standardized Goods; Market Modeling; Market Liquidity.;
    All these keywords.

    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
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • D86 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Economics of Contract Law
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
    • 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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