A scalable content-addressable network
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Simple efficient load balancing algorithms for peer-to-peer systems
Proceedings of the sixteenth annual ACM symposium on Parallelism in algorithms and architectures
Mercury: supporting scalable multi-attribute range queries
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Online balancing of range-partitioned data with applications to peer-to-peer systems
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Contention-based performance evaluation of multidimensional range search in peer-to-peer networks
Proceedings of the 2nd international conference on Scalable information systems
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We consider the problem of load-balancing structured peer-to-peer networks. Load-balancing is of major significance for large-scale decentralized networks in terms of enhanced scalability and performance. Our methods focus mainly on task-skew. Specifically, we address the problem with general rigorous algorithms on the basis of migration. In particular, the cornerstones of our methods are the notions of virtual nodes, replication and multiple realities. Finally, our work is complemented with extensive experiments.