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Multiobjective noncooperative game model for cost-based task scheduling in cloud computing

机译:云计算中基于成本的任务调度多目标非合作博弈模型

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Task scheduling is an important issue in Cloud Computing. Cloud Computing often covers a range of different kinds of nodes, which offers a complex environment. To handle this complexity, as while as to process task scheduling in different scenarios of Cloud Computing, many algorithms have been studied. In this paper, we propose a game theory-based algorithm to the Cloud Computing task scheduling problem on the principle of minimizing the cost in the Cloud Computing. The Cloud Computing task scheduling problem is treated as a noncooperative game. The experiment results demonstrate that the game-based algorithm has a desirable capability to reduce the cost in the Cloud Computing.
机译:任务调度是云计算中的重要问题。云计算通常涵盖一系列不同类型的节点,这提供了一个复杂的环境。为了处理这种复杂性,同时在不同的云计算场景中处理任务调度时,已经研究了许多算法。在本文中,我们以最小化云计算成本为原则,针对云计算任务调度问题提出了一种基于博弈论的算法。云计算任务调度问题被视为非合作游戏。实验结果表明,基于游戏的算法具有降低云计算成本的理想能力。

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