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MapReduce has been used at Google, Yahoo, FaceBook etc., even for their production jobs. However, according to a recent study, a single failure on a Hadoop job could cause a 50% increase in completion time. Amazon Elastic MapReduce has been provided to help users perform data-intensive tasks for their applications. These applications may have high fault tolerance and/or tight SLA requirements. However,...
Fault-tolerant scheduling is an imperative step for large-scale computational grid systems, as often geographically distributed nodes co-operate to execute a task. By and large, primary-backup approach is a common methodology used for fault tolerance wherein each task has a primary copy and a backup copy on two different processors. In this paper, we identify two cases that may happen when scheduling...
Primary-backup approach is a common approach used for fault tolerance wherein each task has a primary copy and a backup copy on two different processors. The backup copy can overlap with other backup copies on the same processor, as long as their corresponding primary copies are scheduled on different processors. In this paper, we consider the problem of fault-tolerant scheduling of independent tasks...
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