Dynamic load balancing for distributed memory multiprocessors
Journal of Parallel and Distributed Computing
Load balancing and Poisson equation in a graph
Concurrency: Practice and Experience
Randomized algorithms
Search and replication in unstructured peer-to-peer networks
ICS '02 Proceedings of the 16th international conference on Supercomputing
IEEE Internet Computing
Diffusive Load-Balancing Policies for Dynamic Applications
IEEE Concurrency
Replication strategies in unstructured peer-to-peer networks
Proceedings of the 2002 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
Computer Networks: The International Journal of Computer and Telecommunications Networking
DQMP: a decentralized protocol to enforce global quotas in cloud environments
SSS'12 Proceedings of the 14th international conference on Stabilization, Safety, and Security of Distributed Systems
Constrained flow control in storage networks: Capacity maximization and balancing
Automatica (Journal of IFAC)
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This paper presents a file replication scheme with analogy to thermal diffusion for storage load balancing in unstructured peer-to-peer (P2P) file sharing networks. The proposed scheme is intended to balance storage load among peers in a dynamic, distributed, and autonomous manner, as in thermal diffusion. Theoretical analysis results show that the presented scheme actually has a statistical analogy with a thermal diffusion equation. In addition, the proposed scheme includes parameters to widely explore the trade-off between storage load balancing and search performance existing in unstructured P2P file sharing networks. Simulation results show that compared to other replication schemes, the proposed scheme has better ability not only in balancing storage load among peers, which is the primary objective of the proposal, but also in widely exploring the performance trade-off.