DocumentCode :
3276548
Title :
An adaptive rescheduling scheme based heuristic algorithm for cloud services applications
Author :
Chen, Yee-Ming ; Wang, Wen-Chien
Author_Institution :
Dept. of Ind. Eng. & Manage., Yuan Ze Univ., Taoyuan, Taiwan
Volume :
3
fYear :
2011
fDate :
10-13 July 2011
Firstpage :
961
Lastpage :
966
Abstract :
Maximizing resource provider service and satisfying user requirements at the same time is a challenging problem in cloud computing environments. The resource provider scheduler can automatically modify the number of resources and usage time of allocation requests. By using rescheduling, resource provider are able to prioritize the most profitable requests dynamically and still satisfy the requirements of the rush requests. In this paper, we propose a novel rescheduling scheme to resolve rush requests with the minimum change in the existing service assignments from graph coloring perspective. We evaluate our proposed scheme under different cloud services task assignment scenarios through computer simulations. The simulation results show that the proposed scheme produces effective contention resolution and better quality-of-service (QoS).
Keywords :
adaptive scheduling; cloud computing; graph colouring; quality of service; resource allocation; adaptive rescheduling scheme; cloud computing environments; cloud services applications; cloud services task assignment scenarios; contention resolution; graph coloring; heuristic algorithm; quality-of-service; resource provider service maximization; service assignments; user requirement satisfaction; Color; Dynamic scheduling; Heuristic algorithms; Machine learning; Processor scheduling; Quality of service; Schedules; Cloud Services; Graph coloring; Resheduling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
Conference_Location :
Guilin
ISSN :
2160-133X
Print_ISBN :
978-1-4577-0305-8
Type :
conf
DOI :
10.1109/ICMLC.2011.6016893
Filename :
6016893
Link To Document :
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