NDLI: Utility-based On-demand Heuristic Strategy to Grid Computing

Content Provider	IEEE Xplore Digital Library
Author	Li Liu Yuanzhuo Wang YangYang Songtao Liu
Copyright Year	2005
Description	Author affiliation: Inf. Eng. Sch., Univ. of Sci. & Technol., Beijing (Li Liu; Yuanzhuo Wang; YangYang)
Abstract	Grids aim at exploiting synergies that result from cooperation of autonomous distributed entities. For this cooperation to be sustainable, participants need to have economic incentive. Within service-oriented Grids, resources may be advertised and traded as services, and QoS requirement is the most important attribute. In this paper, we build on two intellectual threads: market-based approaches and the economic theory of utility to resource allocation. We consider the problem of task scheduling subject to time and budget constrains as QoS-aware joint utility function, and scheduling object is to maximize total attained utility. This scheduling problem can be shown to be NP-hard, thus we present a utility-driven heuristic scheduling algorithm (UDS) for this problem. We study the performance of UDS algorithm through a stochastic Petri net (SPN) model. In the end, the performance of model is analyzed by SPNP software package. The numerical results show that UDS can guarantee QoS for users
Starting Page	86
Ending Page	86
File Size	117914
Page Count	1
File Format	PDF
ISBN	0769524508
DOI	10.1109/ICAS-ICNS.2005.99
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-10-23
Publisher Place	French Polynesia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Processor scheduling Stochastic processes Microeconomics Grid computing Educational institutions Resource management Time factors Environmental economics Yarn Scheduling algorithm
Content Type	Text
Resource Type	Article

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