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MULTI-LEVEL PRIORITY-BASED SCHEDULING MODEL IN HETEROGENEOUS CLOUD | Science Publications

机译:异构云中基于多优先级的调度模型科学出版物

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> Cloud has emerged into another enhancement that manipulates the diversity of resources in order to expand the ability of Cloud facility. Cloud is no longer being seen as one-type service provider. The advantages of the heterogeneous Cloud give great benefits to the users and have business potential in service market. To cope with the dynamic nature of heterogeneous Cloud, the Cloud provider needs to have strategies to efficiently allocate tasks to the resources. Also, to charge the services is another challenge to the Cloud provider as the resources in the Cloud system are heterogeneous. In this study, we suggest the implementation of a. Multi-level priority-based scheduling and dynamic pricing into the heterogeneous Cloud model. We perform an extensive performance evaluation on the model through simulations. We define the attribute of the Cloud simulation as dynamic and random to address the heterogeneous feature of the Cloud. Our simulation result shows that the multi-level priority-based is significantly increasing the resource utilization rate and its integration with the dynamic pricing successfully improves the performance of the Cloud service in term of satisfaction rate.
机译: >云已成为另一项增强功能,可操纵资源的多样性以扩展云功能的能力。云不再被视为一种类型的服务提供商。异构云的优势使用户受益匪浅,并在服务市场中具有业务潜力。为了应对异构云的动态性质,云提供商需要制定策略以有效地将任务分配给资源。此外,由于云系统中的资源是异构的,因此向云服务提供商收费是另一项挑战。在这项研究中,我们建议实施a。基于多级优先级的调度和动态定价进入异构云模型。我们通过仿真对模型进行了广泛的性能评估。我们将云模拟的属性定义为动态和随机,以解决云的异构功能。我们的仿真结果表明,基于多级优先级的资源利用率得到了显着提高,并且其与动态定价的集成成功地提高了云服务的满意度。

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