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Brief Announcement: Achieving Reliability in Master-Worker Computing via Evolutionary Dynamics

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Název: Brief Announcement: Achieving Reliability in Master-Worker Computing via Evolutionary Dynamics
Autoři: Evgenia Christoforou, Miguel A. Mosteiro, Antonio Fernández, Anta Chryssis Georgiou, Angel (anxo Sánchez
Přispěvatelé: The Pennsylvania State University CiteSeerX Archives
Zdroj: http://www.cs.rutgers.edu/%7Emosteiro/pub/paperPODC12.pdf.
Sbírka: CiteSeerX
Témata: C.2.4 [Computer-Communication Networks, Distributed Systems General Terms Reliability, Algorithms Keywords Internet-based task computing, Evolutionary dynamics, Reinforcement learning, Algorithmic
Popis: This work considers Internet-based task computations in which a master process assigns tasks, over the Internet, to rational workers and collect their responses. The objective is for the master to obtain the correct task outcomes. For this purpose we formulate and study the dynamics of evolution of Internet-based master-worker computations through reinforcement learning. Categories and Subject Descriptors
Druh dokumentu: text
Popis souboru: application/pdf
Jazyk: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.261.1256; http://www.cs.rutgers.edu/%7Emosteiro/pub/paperPODC12.pdf
Dostupnost: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.261.1256
http://www.cs.rutgers.edu/%7Emosteiro/pub/paperPODC12.pdf
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Přístupové číslo: edsbas.6AC1EB7F
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  Data: Brief Announcement: Achieving Reliability in Master-Worker Computing via Evolutionary Dynamics
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  Data: This work considers Internet-based task computations in which a master process assigns tasks, over the Internet, to rational workers and collect their responses. The objective is for the master to obtain the correct task outcomes. For this purpose we formulate and study the dynamics of evolution of Internet-based master-worker computations through reinforcement learning. Categories and Subject Descriptors
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      – SubjectFull: Distributed Systems General Terms Reliability
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