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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.accessioned2021-07-13T09:55:56Z
dc.date.available2021-07-13T09:55:56Z
dc.date.issued2012-08-27
dc.identifier.urihttp://hdl.handle.net/20.500.12761/1087
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 evolution 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.titleAchieving Reliability in Master-Worker Computing via Evolutionary Dynamicsen
dc.typeconference object
dc.conference.date27-31 August 2012
dc.conference.placeRhodes Island, Greece
dc.conference.titleThe 18th International Conference on Parallel Processing (Euro-Par 2012)*
dc.event.typeconference
dc.pres.typepaper
dc.rights.accessRightsopen access
dc.page.final463
dc.page.initial451
dc.description.refereedTRUE
dc.description.statuspub
dc.eprint.idhttp://eprints.networks.imdea.org/id/eprint/361


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