首页> 外文期刊>Simulation modelling practice and theory: International journal of the Federation of European Simulation Societies >GAME-SCORE: Game-based energy-aware cloud scheduler and simulator for computational clouds
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GAME-SCORE: Game-based energy-aware cloud scheduler and simulator for computational clouds

机译:游戏分数:基于游戏的能量感知云调度程序和用于计算云的模拟器

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摘要

Energy-awareness remains one of the main concerns for today's cloud computing (CC) operators. The optimisation of energy consumption in both cloud computational clusters and computing servers is usually related to scheduling problems. The definition of an optimal scheduling policy which does not negatively impact to system performance and task completion time is still challenging. In this work, we present a new simulation tool for cloud computing, GAME-SCORE, which implements a scheduling model based on the Stackelberg game. This game presents two main players: a) the scheduler and b) the energy-efficiency agent. We used the GAME-SCORE simulator to analyse the efficiency of the proposed game-based scheduling model. The obtained results show that the Stackelberg cloud scheduler performs better than static energy-optimisation strategies and can achieve a fair balance between low energy consumption and short makespan in a very short time.
机译:能量意识仍然是当今云计算(CC)运营商的主要问题之一。 云计算集群和计算服务器中的能量消耗的优化通常与调度问题有关。 最佳调度策略的定义对系统性能和任务完成时间不会产生负面影响仍然具有挑战性。 在这项工作中,我们为云计算,游戏分数提供了一个新的仿真工具,它实现了基于Stackelberg游戏的调度模型。 这场比赛呈现出两个主要球员:a)调度器和b)能效代理。 我们使用游戏分数模拟器来分析所提出的基于游戏的调度模型的效率。 所获得的结果表明,Stackelberg云调度器比静态能量优化策略更好地执行,并且可以在很短的时间内实现低能量消耗和短暂的Makspan之间的公平平衡。

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