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As a parallel programming framework, MapReduce has attracted more and more attention from both IT enterprises and research institutes that work for large dataset processing. SimMapReduce, a MapReduce simulator based on Grid Sim, is introduced to facilitate research on resource management and performance evaluation. With SimMapReduce simulator, researchers are free to implement scheduling algorithms...
Admission control test aims at determining whether an arriving task can be scheduled together with the tasks already running in a system, so that it can prevent system from overload and collapse. Although a number of schedulability tests have been studied, they are incomparable if the determination conditions are different. In order to keep high system utilization, the problem of choosing a reliable...
Cloud computing is a new emerging computing paradigm that advocates supplying users everything as a service. Compared with grid computing, the focus of resource management problem is transformed to resource virtualization and allocation rather than job decomposition and scheduling. It is more urgent to find better solutions for cloud resource allocation than ever before. Although there have been some...
We propose an efficient hybrid algorithm, known as ACOSS, for solving resource-constrained project scheduling problems (RCPSP) in real-time. The ACOSS algorithm combines a local search strategy, ant colony optimization (ACO), and a scatter search (SS) in an iterative process. In this process, ACO first searches the solution space and generates activity lists to provide the initial population for the...
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