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dc.contributor.authorJunichi Suzukien_US
dc.contributor.authorPaskorn Champraserten_US
dc.contributor.authorChonho Leeen_US
dc.description.abstractThis paper describes and evaluates a self-stabilizable adaptation framework for data center applications. The design of the proposed architecture, SymbioticSphere, is inspired by key biological principles such as decentralization, natural selection, emergence and symbiosis. In SymbioticSphere, each data center application consists of application services and middleware platforms. Each service and platform is designed as a biological entity, analogous to an individual bee in a bee colony, and implements biological behaviors such as energy exchange, migration, replication and death. SymbioticSphere allows services and platforms to (1) adaptively invoke their behaviors according to dynamic network conditions and (2) autonomously seek stable behavior invocations as equilibria (or symbiosis) between them. A symbiosis between a service and a platform is sought as a Nash equilibrium in an extensive-form game. Simulation results demonstrate that SymbioticSphere allows services and platforms to successfully adapt to dynamic networks in a self-stabilizable manner. © 2012 IEEE.en_US
dc.subjectComputer Scienceen_US
dc.titleSelf-stabilizable symbiosis for cloud data center applications: A game theoretic perspectiveen_US
dc.typeConference Proceedingen_US
article.title.sourcetitle6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012en_US of Massachusetts Bostonen_US Mai Universityen_US Technological Universityen_US
Appears in Collections:CMUL: Journal Articles

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