NDLI: An adaptive rescheduling scheme based heuristic algorithm for cloud services applications

Content Provider	IEEE Xplore Digital Library
Author	Yee-Ming Chen Wen-Chien Wang
Copyright Year	2011
Description	Author affiliation: Department of Industrial Engineering and Management, Yuan Ze University, 135, Far-east Rd., Chung-li, Taoyuan, Taiwan, ROC (Yee-Ming Chen; Wen-Chien Wang)
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).
Starting Page	961
Ending Page	966
File Size	338211
Page Count	6
File Format	PDF
ISBN	9781457703058
ISSN	21601348
e-ISBN	9781457703089
DOI	10.1109/ICMLC.2011.6016893
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Schedules Processor scheduling Heuristic algorithms Quality of service Color Dynamic scheduling Machine learning Resheduling Cloud Services Graph coloring
Content Type	Text
Resource Type	Article

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