DocumentCode :
3592680
Title :
Scheduling and resource management using PSO in P-grid
Author :
Loheswaran, K. ; Navin, B. ; Sharmila Devi, S. ; Saranya, S.
Author_Institution :
Dept. of Inf. Technol., Tamilnadu Coll. of Eng., Coimbatore, India
fYear :
2010
Firstpage :
399
Lastpage :
403
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.
Keywords :
grid computing; particle swarm optimisation; peer-to-peer computing; scheduling; P-grid; PSO; complex computing intensive problem; decentralized resource discovery techniques; fault tolerance; grid computing; grid resource discovery; high presentation computational platform; network congestion; particle swarm optimisation; peer-to-peer network model; resource discovery mechanism; resource management; scheduling problem; supply management; user application requirement; Computational modeling; Conferences; Dynamic scheduling; Grid computing; Peer to peer computing; Processor scheduling; exponential distribution; fault-tolerance; heterogeneity; network congestion; peer-to-peer systems; scalability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication and Computational Intelligence (INCOCCI), 2010 International Conference on
Type :
conf
Filename :
5738763
Link To Document :
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