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首页> 外文会议>2014 International Conference on Advances in Engineering and Technology Research >An energy preserving and fault tolerant task scheduler in Cloud computing
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An energy preserving and fault tolerant task scheduler in Cloud computing

机译：云计算中的节能和容错任务调度器

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摘要

In Cloud, virtualization technology is employed to integrate physical machines into a virtual resource pool to control resources in centralized manner. Recent work considers various strategies with only taking into account only one specific problem of task scheduling without considering the other related problems. Provisioning customer applications in the Cloud while maintaining the application's required quality of service and achieving resource efficiency with power consumption issues are still open research challenges in Cloud computing. Hence, by considering other related problems of the task scheduling while schedule tasks can improve the resource utilization, fault tolerance, energy saving and throughput of the Cloud system. In this paper, we proposed an integrated task scheduling algorithm that takes into account the issues such as VM management and Datacenter management. This algorithm is implemented on CloudSim platform and the obtained experimental results show that the proposed algorithm runs efficiently, reducing the average execution time, average waiting time of tasks and improving the throughput of the Cloud system. The proposed algorithm can be easily integrated with Virtual Machine management strategies and is fault tolerant and can efficiently deal with energy consumption problem.
机译：在云中，采用虚拟化技术将物理机集成到虚拟资源池中，以集中方式控制资源。最近的工作考虑了各种策略，仅考虑了任务调度的一个特定问题，而没有考虑其他相关问题。在云中配置客户应用程序，同时保持应用程序所需的服务质量并通过功耗问题实现资源效率仍然是云计算领域的开放研究挑战。因此，通过在调度任务时考虑任务调度的其他相关问题，可以提高云系统的资源利用率，容错能力，节能性和吞吐量。在本文中，我们提出了一种集成的任务调度算法，该算法考虑了VM管理和数据中心管理等问题。该算法在CloudSim平台上实现，实验结果表明，该算法有效运行，减少了平均执行时间，平均任务等待时间，提高了云系统的吞吐量。所提出的算法可以很容易地与虚拟机管理策略集成，并且具有容错能力，可以有效地解决能耗问题。

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