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A widely used method for large scale experiment execution upon P2P or Cluster Computing platforms, is the exploitation of idle resources. Specifically in the case of clusters, administrators share their cluster's idle cycles into Computational Grids, for the execution of the so called bag-of-tasks applications. Fault-tolerance and scheduling are some of the important challenges that have arisen on the specific research field. On this paper, we present a simple, scalable, fault tolerant anddoi:10.1109/e-science.2007.32 dblp:conf/eScience/GeorgiouRC07 fatcat:k5tjax7lb5avdeok2tfd3nmen4