NDLI: Scheduling and resource management using PSO in P-grid

Content Provider	IEEE Xplore Digital Library
Author	Loheswaran, K. Navin, B. Devi, S.D. Saranya, S.
Copyright Year	2010
Description	Author affiliation: Department of Information Technology, Tamilnadu College of Engineering, Coimbatore, India (Loheswaran, K.; Navin, B.; Devi, S.D.; Saranya, S.)
Abstract	Grid computing can integrate computational resources from different networks or regional areas into a high presentation computational platform and be used to solve complex computing-intensive problems efficiently. Scheduling problem is an important issue in a grid computing environment, because of the heterogeneity of computing resources. Efficient Resource discovery mechanism is one of the fundamental requirements for Grid computing systems, as it aids in supply management and development of applications. Resource discovery activity involves searching for the appropriate resource types that match the user's application requirements. Various kinds of solutions to grid resource discovery have been suggested, including the centralized and hierarchical information server approach. However, both of these approaches have serious limitations in regards to scalability, fault-tolerance and network congestion. To overcome these limitations, Peer-to-Peer (P2P) network model has been actively proposed in the past few years. This article investigates various decentralized resource discovery techniques primarily driven by P2P network model.
Starting Page	399
Ending Page	403
File Size	556512
Page Count	5
File Format	PDF
ISBN	9788183713696
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-27
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Kongu Engineering College
Subject Keyword	Heterogeneity Processor scheduling Peer-to-peer systems Peer to peer computing Computational modeling Conferences Exponential distribution Scalability Grid computing Dynamic scheduling Fault-tolerance Network congestion
Content Type	Text
Resource Type	Article

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