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Enabling Business-Preference-Based Scheduling of Cloud Computing Resources

Author

Listed:
  • Azamat Uzbekov

    (Seoul National University, Seoul, Korea)

  • Jörn Altmann

    (Seoul National University, Seoul, Korea)

Abstract

Although cloud computing technology gets increasingly sophisticated, a resource allocation method still has to be proposed that allows providers to take into consideration the preferences of their customers. The existing engineering-based and economics-based resource allocation methods do not take into account jointly the different objectives that engineers and marketing employees of a cloud provider company follow. This article addresses this issue by presenting the system architecture and, in particular, the business-preference-based scheduling algorithm that integrates the engineering aspects of resource allocation with the economics aspects of resource allocation. To show the workings of the new business-preference-based scheduling algorithm, which integrates a yield management method and a priority-based scheduling method, a simulation has been performed. The results obtained are compared with results from the First-Come-First-Serve scheduling algorithm. The comparison shows that the proposed scheduling algorithm achieves higher revenue than the engineering-based scheduling algorithm.

Suggested Citation

  • 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.
    • Handle: RePEc:snv:dp2009:2016134
    as

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    File URL: http://temep-repec.my-groups.de/DP-134.pdf
    File Function: First version, 2016
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    References listed on IDEAS

    as
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    2. 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.
    3. 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.
    4. Jorn Altmann & Mohammad Mahdi Kashef, 2014. "Cost Model Based Service Placement in Federated Hybrid Clouds," TEMEP Discussion Papers 2014116, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Sep 2014.
    5. Keith Jeferry & George Kousiouris & Dimosthenis Kyriazis & Jörn Altmann & Augusto Ciuffoletti & Ilias Maglogiannis & Paolo Nesi & Bojan Suzic & Zhiming Zhao, 2015. "Challenges Emerging from Future Cloud Application Scenarios," TEMEP Discussion Papers 2015126, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Sep 2015.
    6. 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.
    7. 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.
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    9. 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.
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Cloud Computing; Resource Allocation; FCFS; Yield Management; Scheduling; Pricing; Economics-Based Resource Allocation; System Architecture.;
    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
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • 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

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