Dynamic provisioning of computational resources in cloud computing system is a challenging problem. With many VMs being deployed in clouds, managing so much resources to stable work becomes a critical problem. Therefore, how to meet the different quality of service (QoS), we consider the service quality requirements is very important. In this paper, we address this problem. We first establish a QoS scheduling model by incorporating the cloud characteristics, and then, we develop a task scheduling objects to ensure faults can be tolerated during the task exaction. Finally, we proposed a QoS-aware scheduling algorithm, QoS-DPSO, to satisfy the QoS required in cloud computing systems. For the target requirements of QoS requirement, we take the time, reliability and cost as a single object problem. Experimental results show that QoS-DPSO can effectively improve the performance and obtain the high reliability.

中文翻译：

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QoS-DPSO：云计算系统的QoS感知任务调度

云计算系统中计算资源的动态配置是一个具有挑战性的问题。随着许多虚拟机部署在云中，管理如此多的资源以稳定工作成为一个关键问题。因此，如何满足不同的服务质量（QoS），我们考虑的服务质量要求非常重要。在本文中，我们解决了这个问题。我们首先通过结合云特性建立QoS调度模型，然后我们开发了一个任务调度对象，以确保在任务提取过程中可以容忍故障。最后，我们提出了一种QoS感知调度算法QoS-DPSO，以满足云计算系统对QoS的要求。对于QoS需求的目标需求，我们将时间、可靠性和成本作为一个单一的对象问题。