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dc.contributor.authorChristoforou, Evgenia 
dc.contributor.authorFernández Anta, Antonio 
dc.contributor.authorGeorgiou, Chryssis
dc.contributor.authorMosteiro, Miguel A.
dc.contributor.authorSánchez, Ángel
dc.date.accessioned2021-07-13T09:55:41Z
dc.date.available2021-07-13T09:55:41Z
dc.date.issued2012-07-16
dc.identifier.urihttp://hdl.handle.net/20.500.12761/1083
dc.description.abstractThis 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 evolu- tion of Internet-based master-worker computations through reinforcement learning.
dc.language.isoeng
dc.subject.lccQ Science::Q Science (General)
dc.subject.lccQ Science::QA Mathematics::QA75 Electronic computers. Computer science
dc.subject.lccT Technology::T Technology (General)
dc.subject.lccT Technology::TA Engineering (General). Civil engineering (General)
dc.subject.lccT Technology::TK Electrical engineering. Electronics Nuclear engineering
dc.titleBrief Announcement: Achieving Reliability in Master-Worker Computing via Evolutionary Dynamicsen
dc.typeconference object
dc.conference.date16-18 July 2012
dc.conference.placeFunchal, Madeira, Portugal
dc.conference.titleThe 31st Annual ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing (ACM PODC 2012)*
dc.event.typeconference
dc.pres.typepaper
dc.type.hasVersionVoR
dc.rights.accessRightsopen access
dc.page.final226
dc.page.initial225
dc.subject.keywordInternet-based task computing
dc.subject.keywordEvolutionary dynamics
dc.subject.keywordRe- inforcement learning
dc.subject.keywordAlgorithmic mechanism design
dc.description.refereedTRUE
dc.description.statuspub
dc.eprint.idhttp://eprints.networks.imdea.org/id/eprint/357


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