Enabling Business-Preference-Based Scheduling of Cloud Computing Resources

Azamat Uzbekov () and Jörn Altmann
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Azamat Uzbekov: Seoul National University, Seoul, Korea

No 2016134, TEMEP Discussion Papers from Seoul National University; Technology Management, Economics, and Policy Program (TEMEP)

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.

Keywords: Cloud Computing; Resource Allocation; FCFS; Yield Management; Scheduling; Pricing; Economics-Based Resource Allocation; System Architecture. (search for similar items in EconPapers)
JEL-codes: C61 C63 D24 D81 L86 M15 (search for similar items in EconPapers)
Pages: 18 pages
Date: 2016-12, Revised 2017-04
New Economics Papers: this item is included in nep-cmp
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Published in Proceedings of GECON 2016, Athens, Greece.

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http://temep-repec.my-groups.de/DP-134.pdf First version, 2016 (application/pdf)

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Persistent link: https://EconPapers.repec.org/RePEc:snv:dp2009:2016134

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