The Influence of Different Workload Descriptions on a Heuristic Load Balancing Scheme
IEEE Transactions on Software Engineering
Search and replication in unstructured peer-to-peer networks
ICS '02 Proceedings of the 16th international conference on Supercomputing
Time Series Analysis, Forecasting and Control
Time Series Analysis, Forecasting and Control
A local search mechanism for peer-to-peer networks
Proceedings of the eleventh international conference on Information and knowledge management
Replication strategies in unstructured peer-to-peer networks
Proceedings of the 2002 conference on Applications, technologies, architectures, and protocols for computer communications
Making gnutella-like P2P systems scalable
Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
Adaptive Replication in Peer-to-Peer Systems
ICDCS '04 Proceedings of the 24th International Conference on Distributed Computing Systems (ICDCS'04)
Dynamic Layer Management in Superpeer Architectures
IEEE Transactions on Parallel and Distributed Systems
Load Sharing in Peer-to-Peer Networks using Dynamic Replication
AINA '06 Proceedings of the 20th International Conference on Advanced Information Networking and Applications - Volume 01
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The peer-to-peer (P2P) systems have grown significantly over the last few years due to their high potential of sharing various resources. Analyzing the workload of P2P system, however, is very challenging as it involves with the cooperation of many peers. Researches have shown that P2P systems become very effective when dividing the peers into two layers, SP (Super-Peer) and OP (Ordinary-Peer). In this configuration, SP based P2P systems have to deal with a large volume of queries from OPs. Therefore, it is important for SPs to keep their workload stable to provide quality service to the OPs. In this study, we present a collaboration strategy for workload balancing based on SP's workload characteristics and status. Through the SP's load balancing mechanism, the message response time is decreased and the workload of P2P system becomes more stable.