Bio-inspired replica density control in dynamic networks

Authors:
Tomoko Suzuki;Taisuke Izumi;Fukuhito Ooshita;Hirotsugu Kakugawa;Toshimitsu Masuzawa
Affiliations:
Graduate School of Information Science and Technology, Osaka University, Toyonaka, Japan;Graduate School of Information Science and Technology, Osaka University, Toyonaka, Japan;Graduate School of Information Science and Technology, Osaka University, Toyonaka, Japan;Graduate School of Information Science and Technology, Osaka University, Toyonaka, Japan;Graduate School of Information Science and Technology, Osaka University, Toyonaka, Japan
Venue:
BioADIT'06 Proceedings of the Second international conference on Biologically Inspired Approaches to Advanced Information Technology
Year:
2006

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Abstract

Resource replication is a crucial technique for improving system performance of distributed applications with shared resources. A larger number of replicas require shorter time to reach a replica of the requested resource, but consume more storage of hosts. Therefore, it is indispensable to adjust the number of replicas appropriately for its application. This paper considers the problem for controlling the density of replicas adaptively in dynamic networks. The goal of the problem is to adjust the number of replicas to a constant fraction of the current network size. This paper proposes algorithm inspired by the single species population model, which is a well-known population ecology model. The simulation results show that the proposed algorithm realize self-adaptation of the replica density in dynamic networks.