Achieving Reliability in Master-worker Computing via Evolutionary Dynamics

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Achieving Reliability in Master-worker Computing via Evolutionary Dynamics

Author(s): Christoforou, Evgenia; Fernández Anta, Antonio; Georgiou, Chryssis; Mosteiro, Miguel A.; Sánchez, Angel
Publisher: Springer
Issued date: 2012-08
Citation: Euro-Par 2012 Parallel Processing. Lecture Notes in Computer Science 7484 (2012) pp.451 - 463
ISBN: 978-3-642-32819-0
DOI: 10.1007/978-3-642-32820-6_45
Sponsor: This work is supported by the Cyprus Research Promo-tion Foundation grant TΠE/ΠΛHPO/0609(BE)/05, NSF grants CCF-0937829, CCF-1114930, Comunidad de Madrid grant S2009TIC-1692, Spanish MOSAICO and RESINEE grants and MICINN grant TEC2011-29688-C02-01, and National Natural Science Foundation of China grant 61020106002.
Serie/No.: Lecture Notes in Computer Science
7484
Publisher version: http://dx.doi.org/10.1007/978-3-642-32820-6_45
Project: Comunidad de Madrid. S2009TIC-1692
Gobierno de España.TEC2011-29688-C02-01
Gobierno de España. FIS2011-22449/PRODIEVO
Gobierno de España. FIS2006-01485/MOSAICO
URI: http://hdl.handle.net/10016/21436
Rights: © 2012 Springer-Verlag Berlin

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 [+]

Description:

The proceeding at: 18th International Conference on Parallel and Distributed Computing, Euro-Par 2012), took place 2012, August 27-31, in Rhodes Island, Greece.

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