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The actual availability of the PaaS service is changing along with the availability of the IaaS service. 8%. In an extreme case, if the IaaS service is offline, regardless of the PaaS service availability, deploy availability is reduced to zero. The deploy availability relationship between AU and AS which provides service for AU can be expressed as this: = × (4) where, is standalone availability of the AU service, is the deploy availability of available = 100%, = . set AS which supports the AU deployment.
Introduction The MapReduce framework [1-3] of the Hadoop can parallel processing TB level data set, With high reliability and high fault-tolerance. Data set is stored on distributed file system, which consists of a large number of nodes. A data set usually is divided into several tasks and parallel execution. A Job is composed by the Map phase and Reduce phase. Map phase perform multiple map tasks. Fistly, reading the data block of the Job from the distributed file system, then, mapping for each data using the map function, and last, writing the results to the local disk in order .
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Computers and Information Processing Technologies I by Prasad Yarlagadda, Yun-Hae Kim