Achieving reliability in master-worker computing via evolutionary dynamics

  • Authors:
  • Evgenia Christoforou;Antonio Fern$#225;ndez Anta;Chryssis Georgiou;Miguel A. Mosteiro;Angel (Anxo) S$#225;nchez

  • Affiliations:
  • University of Cyprus, Nicosia, Cyprus;Institute IMDEA Network & Univ. Rey Juan Carlos, Madrid, Spain, Rutgers University, Piscataway, NJ;University of Cyprus, Nicosia, Cyprus;Rutgers University, Piscataway, NJ, USA, Univ. Rey Juan Carlos, Madrid, Spain;Universidad Carlos III de Madrid, Madrid, Spain,BIFI Institute, Zaragoza, Spain

  • Venue:
  • Euro-Par'12 Proceedings of the 18th international conference on Parallel Processing
  • Year:
  • 2012

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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 evolution of Internet-based master-worker computations through reinforcement learning.