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Data Location Optimization for a Self-Organized Distributed Storage System Hannes M¨uhleisen, Tilman Walther and Robert Tolksdorf Networked Information Systems Group Freie Universit¨at Berlin Berlin, Germany muehleis@i
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Document Date: 2011-08-18 11:21:55


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Paphos / Tolksdorf / New York / Santiago / Swarm / Lisboa / /

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MIT Press / Oxford University Press / Distributed Storage We / /

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Cyprus / Chile / United States / Portugal / /

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test protocol / early storage systems / combinatorial solution / network technology / web resource / information systems / communications networks / chemical rules / linda-systems / stateof-the art routing algorithms / problem solutions / swarm algorithms / Web-based Applications / Web scalability requirements / storage network / multi-agent systems / possible solution / ant colony optimization algorithms / storage systems / stand-alone systems / triplespace computing / data location algorithms / Web Congress / law data distribution / space infrastructure / Web data / large-scale storage network / packet-switched communication networks / cloud services / /

OperatingSystem

Linux / /

Organization

MIT / Swarm Intelligence / Congress / German Federal Ministry of Education / Oxford University / IEEE Computer Society / /

Person

B. Nixon / A. Kaltenbrunner / V / Robert Tolksdorf Networked / /

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coordination model for triplespace computing / Travelling Salesman / /

ProgrammingLanguage

R / /

ProvinceOrState

Massachusetts / /

PublishedMedium

Journal of the ACM / Lecture Notes in Computer Science / /

Technology

ant colony optimization algorithms / peer-to-peer / Linux / using ACO-inspired algorithms / nature-inspired algorithm / data location algorithms / test protocol / packet-switched / pheromones / ACO algorithms / nature-inspired algorithms / bilaterally using network technology / Nondeterministic algorithms / http / Resource Description Framework / stateof-the art routing algorithms / RDF / simulation / swarm algorithms / P2P technology / /

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http /

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