A comparison of receiver-initiated and sender-initiated adaptive load sharing
Performance Evaluation
A load index for dynamic load balancing
ACM '86 Proceedings of 1986 ACM Fall joint computer conference
Grid Information Services for Distributed Resource Sharing
HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
Jalapeno: secentralized grid computing using peer-to-peer technology
Proceedings of the 2nd conference on Computing frontiers
SP2A: a service-oriented framework for P2P-based Grids
MGC '05 Proceedings of the 3rd international workshop on Middleware for grid computing
NodeWiz: peer-to-peer resource discovery for grids
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid - Volume 01
A hybrid load balancing policy underlying grid computing environment
Computer Standards & Interfaces
Scheduling data-intensive bags of tasks in P2P grids with bittorrent-enabled data distribution
Proceedings of the second workshop on Use of P2P, GRID and agents for the development of content networks
Effect of Scheduling Discipline on CPU-MEM Load Sharing System
GCC '07 Proceedings of the Sixth International Conference on Grid and Cooperative Computing
IEEE Transactions on Parallel and Distributed Systems
Design and Implementation of Job Migration Policies in P2P Grid Systems
APSCC '08 Proceedings of the 2008 IEEE Asia-Pacific Services Computing Conference
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P2P grid computing systems integrate geographical computing resources across multiple administrative domains. In P2P grid systems, one of the most important challenges is how to efficiently exploit the load balancing of distributed computing resources. This paper proposes a performance-aware load balancing mechanism in order to exploit distributed computing resources in P2P grid computing systems. The performance-aware load balancing mechanism supports the capabilities of resource information gathering, job migration and load balancing. The resource information gathering uses the P2P technique to collect distributed resource information; the job migration mechanism adopts the P2P technique to improve the utilization of idle computing resources; and the decentralized load balancing policy could dynamically adjust the load according to the system performance. We quantify the performance of our performance-aware load balancing mechanism. Experimental results show that our proposed mechanism could efficiently distribute load in P2P Grid systems.