When: Tuesday, 2013-Feb-18, 11h30-12h00
Where: FCUL-DI, room C6.3.38
Presenter: Pedro Costa
MapReduce is a framework for processing large data sets largely used in cloud computing. MapReduce implementations like Hadoop can tolerate crashes and ﬁle corruptions, but there is evidence that general arbitrary faults do occur and can affect the correctness of job executions. In this presentation I will show a MapReduce version that tolerates arbitrary faults and runs in a set of clouds.