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Service-level agreement-aware scheduling and load balancing of tasks in cloud

机译：服务级别的协议感知调度和云中任务的负载均衡

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Cloud computing is an innovative computing paradigm designed to provide a flexible and low-cost way to deliver information technology services on demand over the Internet. Proper scheduling and load balancing of the resources are required for the efficient operations in the distributed cloud environment. Since cloud computing is growing rapidly and customers are demanding better performance and more services, scheduling and load balancing of the cloud resources have become very interesting and important area of research. As more and more consumers assign their tasks to cloud, service-level agreements (SLAs) between consumers and providers are emerging as an important aspect. The proposed prediction model is based on the past usage pattern and aims to provide optimal resource management without the violations of the agreed service-level conditions in cloud data centers. It considers SLA in both the initial scheduling stage and in the load balancing stage, and it looks into different objectives to achieve the minimum makespan, the minimum degree of imbalance, and the minimum number of SLA violations. The experimental results show the effectiveness of the proposed system compared with other state-of-the-art algorithms.
机译：云计算是一种创新的计算范式，旨在提供一种灵活且低成本的方式来按需通过Internet交付信息技术服务。为了在分布式云环境中进行有效操作，需要对资源进行正确的调度和负载平衡。由于云计算快速增长，并且客户要求更好的性能和更多的服务，因此云资源的调度和负载平衡已成为非常有趣和重要的研究领域。随着越来越多的消费者将其任务分配给云，消费者和提供商之间的服务级别协议（SLA）逐渐成为重要的方面。所提出的预测模型基于过去的使用模式，旨在提供最佳的资源管理，而不会违反云数据中心中商定的服务级别条件。它在初始调度阶段和负载平衡阶段都考虑了SLA，并研究了不同的目标，以实现最小的有效期，最小的不平衡度和最小的SLA违规次数。实验结果表明，与其他最新算法相比，该系统的有效性。

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