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

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Bibliographic Details
Title: Brief Announcement: Achieving Reliability in Master-Worker Computing via Evolutionary Dynamics
Authors: Christoforou, Evgenia, Fernández Anta, Antonio, Georgiou, Chryssis, Mosteiro, Miguel A., Sánchez, Ángel
Publication Year: 2012
Subject Terms: Q Science::Q Science (General), Q Science::QA Mathematics::QA75 Electronic computers. Computer science, T Technology::T Technology (General), T Technology::TA Engineering (General). Civil engineering (General), T Technology::TK Electrical engineering. Electronics Nuclear engineering, Internet-based task computing, Evolutionary dynamics, Re- inforcement learning, Algorithmic mechanism design
Description: 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 evolu- tion of Internet-based master-worker computations through reinforcement learning. ; TRUE ; pub
Document Type: conference object
Language: English
Relation: http://hdl.handle.net/20.500.12761/1083
Availability: https://hdl.handle.net/20.500.12761/1083
Rights: open access
Accession Number: edsbas.4155ECAD
Database: BASE
Description
Abstract: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 evolu- tion of Internet-based master-worker computations through reinforcement learning. ; TRUE ; pub