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首页> 外文期刊>International Journal of High Performance Computing and Networking >Budget-aware task scheduling technique for efficient management of cloud resources
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Budget-aware task scheduling technique for efficient management of cloud resources

机译:预算感知的云资源有效管理的任务调度技术

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Cloud computing technology offers many services using pay as per use concept where the user gets to specify constraints such as the budget. Task scheduling algorithms are therefore the most preferred option under a budget constraint which is used to improve some of the metrics like makespan and cost. In this paper, we propose a budget-aware scheduling (BAS) model to schedule the tasks based on the budget constraint. At first, the VMs which meet the budget are labelled and the task priority is determined. Next, the task attributes are checked and assigned to the resources which meet the budget constraint to keep makespan as low as possible with minimal cost for resource usage. The experiments demonstrate that the proposed model outperforms other algorithms by reducing average of makespan, mean of average response time, and the cost of resources with an increase in resource utilisation and profit of provider.
机译:云计算技术提供了许多使用付费的服务,使用概念,用户可以指定预算等约束。 因此,任务调度算法是预算约束下最优选的选项,用于改善MapEspan和成本等一些度量。 在本文中,我们提出了预算感知计划(BAS)模型,以根据预算约束计划任务。 首先,标记符合预算的VM并确定任务优先级。 接下来,检查任务属性并分配给符合预算约束的资源,以使Mapspan尽可能低,资源使用的最小成本。 实验表明,所提出的模型通过降低MakEspan的平均值,平均响应时间的平均值以及资源成本来优于其他算法,以及提供者的资源利用率和利润的资源成本。

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