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A Workflow Scheduling Technique for Task Distribution in Spot Instance-Based Cloud

机译:基于竞价型实例的云中任务分配的工作流调度技术

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The cloud computing is a computing paradigm that users can rent computing resources from service providers as much as they require. A spot instance in cloud computing helps a user to utilize resources with less expensive cost, even if it is unreliable. In this paper, we propose the workflow scheduling scheme that reduces the task waiting time when an instance occurs the out-of-bid situation. And, our scheme executes user's job within selected instances and expands the suggested user budget. The simulation results reveal that, compared to various instance types, our scheme achieves performance improvements in terms of an average execution time of 66.86% over shortest execution time in each task time interval. And, the cost in our scheme is higher than an instance with low performance and is lower than an instance with high performance. Therefore, our scheme is difficult to optimize cost for task execution.
机译:云计算是一种计算范式,用户可以根据需要从服务提供商那里租用计算资源。即使不可靠,云计算中的竞价型实例也可以帮助用户以较低的成本使用资源。在本文中,我们提出了一种工作流调度方案,该方案可减少实例发生竞标情况时的任务等待时间。并且,我们的方案在选定的实例中执行用户的工作,并扩展了建议的用户预算。仿真结果表明,与各种实例类型相比,我们的方案在每个任务时间间隔内的最短执行时间上的平均执行时间为66.86%,从而实现了性能改进。并且,我们的方案中的成本高于性能低下的实例,也低于性能高下的实例。因此,我们的方案难以优化任务执行的成本。

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