International Journal of Contents

  • 제7권2호
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  • Pages.1-5
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  • 2011
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  • 1738-6764(pISSN)
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  • 2093-7504(eISSN)
한국콘텐츠학회 (The Korea Contents Association)
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Cost-Aware Dynamic Resource Allocation in Distributed Computing Infrastructures

  • Ricciardi, Gianni M. (University of Science and Technology, Korea Institute of Science and Technology Information) ;
  • Hwang, Soon-Wook (Korea Institute of Science and Technology Information)
  • 투고 : 2011.03.06
  • 심사 : 2011.06.10
  • 발행 : 2011.06.28
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초록

Allocation of computing resources is a crucial issue when dealing with a huge number of tasks to be completed according to a given deadline and cost constraints. The task scheduling to several resources (e.g. grid, cloud or a supercomputer) with different characteristics is not trivial, especially if a trade-off in terms of time and cost is considered. We propose an allocation approach able to fulfill the given requirements about time and cost through the use of optimizing techniques and an adaptive behavior. Simulated productions of tasks have been run in order to evaluate the characteristics of the proposed approach.

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참고문헌

  1. Alvin Auyoung, Brent N. Chun, Alex C. Snoeren, and Amin Vahdat. "Resource allocation in federated distributed computing infrastructures", 2004.
  2. Pengcheng Xiong and Yushun Fan. "Cost-aware grid workflow resource allocation". Semantics, Knowledge and Grid, International Conference, pp. 422-425, 2007.
  3. Nicolas Dube and Marc Parizeau. "Utility computing and market-based scheduling: Shortcomings for grid resources sharing and the next steps". High Performance Computing Systems and Applications, Annual International Symposium, pp. 59-68, 2008.
  4. Ruben Van den Bossche, Kurt Vanmechelen, and Jan Broeckhove."Cost-optimal scheduling in hybrid iaas clouds for deadline constrained workloads". Cloud Computing, IEEE International Conference, pp. 228-235, 2010. https://doi.org/10.1109/CLOUD.2010.58
  5. Xavier Grehant and Isabelle Demeure."Symmetric mapping: An architectural pattern for resource supply in grids and clouds". Parallel and Distributed Processing Symposium, International, pp. 1-8, 2009.
  6. http://simpy.sourceforge.net/. Accessed on April 2011.