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Time and Cost-Aware Methodfor Scheduling Workflows In Cloud Computing Systems

机译:用于调度云计算系统工作流的时间和成本感知方法

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Cloud computing systems provide different options to customers to compute the tasks' based on their choice. Cloud systems provide services to customers as a utility. The customers are focused on the availability of service at low cost and minimum execution time. The performance of cloud systems depends on scheduling of tasks. The groups of tasks which are interdependent are referred as workflows. Workflow tasks scheduling plays an important role to estimate cloud system performance. If we want to reduce the execution time (make span), the cost involved in it will increase. Here we proposed a novel method which minimizes the cost and time to schedule tasks of workflows. This algorithm schedules the tasks of a workflow to complete the execution in shortest feasible time so as to minimize the price for the services provided to customers. The experimental results show that proposed scheduling algorithm minimizes the make span and cost of workflows when compared with other existing algorithms.
机译:云计算系统为客户提供不同的选项,以根据其选择计算任务。云系统为客户提供服务作为实用程序。客户专注于以低成本和最低执行时间为服务的可用性。云系统的性能取决于任务的调度。相互依赖的任务组被称为工作流程。工作流任务调度扮演估算云系统性能的重要作用。如果我们想减少执行时间(制作跨度),它将增加所涉及的成本。在这里,我们提出了一种新颖的方法,最大限度地减少了计算工作流程任务的成本和时间。该算法调度工作流的任务以在最短的可行时间中完成执行,以最大限度地减少为客户提供的服务的价格。实验结果表明,与其他现有算法相比,所提出的调度算法最小化了工作流量的制作跨度和成本。

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