Zobrazit v EDS

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

Uloženo v:

Podrobná bibliografie
Název:	Brief Announcement: Achieving Reliability in Master-Worker Computing via Evolutionary Dynamics
Autoři:	Christoforou, Evgenia, Fernández Anta, Antonio, Georgiou, Chryssis, Mosteiro, Miguel A., Sánchez, Ángel
Rok vydání:	2012
Témata:	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
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 evolu- tion of Internet-based master-worker computations through reinforcement learning. ; TRUE ; pub
Druh dokumentu:	conference object
Jazyk:	English
Relation:	http://hdl.handle.net/20.500.12761/1083
Dostupnost:	https://hdl.handle.net/20.500.12761/1083
Rights:	open access
Přístupové číslo:	edsbas.4155ECAD
Databáze:	BASE

Popis
Abstrakt:	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