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Enabling Business-Preference-Based Scheduling of Cloud Computing Resources

Listed author(s):
  • Azamat Uzbekov

    ()

    (Seoul National University, Seoul, Korea)

  • Jörn Altmann

    ()

    (Seoul National University, Seoul, Korea)

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.

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File URL: ftp://147.46.237.98/DP-134.pdf
File Function: First version, 2016
Download Restriction: no

Paper provided by Seoul National University; Technology Management, Economics, and Policy Program (TEMEP) in its series TEMEP Discussion Papers with number 2016134.

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Length: 18 pages
Date of creation: Dec 2016
Date of revision: Apr 2017
Publication status: Published in Proceedings of GECON 2016, Athens, Greece.
Handle: RePEc:snv:dp2009:2016134
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  1. Peter P. Belobaba, 1987. "Survey Paper---Airline Yield Management An Overview of Seat Inventory Control," Transportation Science, INFORMS, vol. 21(2), pages 63-73, May.
  2. 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.
  3. 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.
  4. 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.
  5. Serguei Netessine & Robert Shumsky, 2002. "Introduction to the Theory and Practice of Yield Management," INFORMS Transactions on Education, INFORMS, vol. 3(1), pages 34-44, September.
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