Uma heurística de particionamento de carga divisível para grids computacionais

Leonardo AssisNelson Nóbrega-JúniorFrancisco BrasileiroWalfredo Cirne

Many applications that process a large amount of data can easily be transformed into parallel applications composed of independent tasks, i.e., Bag-of-Task applications (BoT). For this, it is enough to divide the data to be processed in small portions and to associate each portion to a task that can independently process it. Such applications are known as divisible workload applications. Although it is easy to transform them in BoT, it is not trivil to identify what is the best way to partition the application, so that a good performance is achieved. Previously known application granularity without requiring any external information about the execution environment, being therefore applicable in computational grid environments.

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