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Towards Autonomic Market Management in Cloud Computing Infrastructures

Author

Listed:
  • Ivan Breskovic
  • Michael Maurer
  • Vincent C. Emeakaroha
  • Ivona Brandic

    (Information Systems Institute, Vienna University of Technology)

  • Jorn Altmann

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

Abstract

Cloud computing markets face challenges, such as a large variety of different resource types in the market. A large variety of resource types results in a low number of matches of ask and bids. Consequently, the market has a low liquidity, which is economically inefficient and can lead to market failure. To counteract this problem, SLA templates (i.e., templates for electronic contracts) have been introduced. However, until now, SLA templates were static, not able to reflect changes in users’ requirements. In this paper, we apply the adaptive SLA mapping approach for deriving public SLA templates from private SLA templates of users. To achieve the adaptation of SLA templates, we combine clustering algorithms with adaptation methods. The result is a set of new public SLA templates, which reflect the market situation more accurately. This way, we enable marketplaces to automatically adapt to observed changes of market conditions. For the simulation-based evaluation of our approach, we formalize a utility and cost model, calculate the overall net utility, and assess the scalability of the approach. Our results show that the use of clustering algorithms can significantly improve the performance of the adaptive SLA mapping approach.

Suggested Citation

  • 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.
    • Handle: RePEc:snv:dp2009:201174
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    File URL: http://temep-repec.my-groups.de/DP-74.pdf
    File Function: First version, 2011
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    References listed on IDEAS

    as
    1. Michael Maurer & Vincent C. Emeakaroha & Ivona Brandic & Jorn Altmann, 2010. "Cost and Benefit of the SLA Mapping Approach for Defining Standardized Goods in Cloud Computing Markets," TEMEP Discussion Papers 201069, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Dec 2010.
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    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. 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.
    3. 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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    2. 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.

    More about this item

    Keywords

    Service Level Agreement; SLA management; electronic markets; autonomic computing.;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • 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
    • 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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