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Cloud Computing has emerged as a service model that enables on-demand network access to a large number of available virtualized resources and applications with a minimal management effort and a minor price. The spread of Cloud Computing technologies allowed dealing with complex applications such as Scientific Workflows, which consists of a set of intensive computational and data manipulation operations...
In the dynamic, heterogeneous and widely distributed grid environment, task scheduling is a complex and challenging problem. Because in DBC algorithm, QoS requests are static, either based on time optimisation, or budget optimisation, resource allocation in grid is irrational. To solve the problem, one QoS model based on benefit function is presented in this paper. Also, two algorithms based on benefit...
Grids are emerging as a promising solution for resource and computation demanding applications. Here, task scheduling is one of the most important subjects. In traditional approaches for grid scheduling, makespan or completion time of scheduling is the most important parameter for optimization. But in these algorithms, some parameters like user requirements arenpsilat considered. Over the last few...
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