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A smart energy and reliability aware scheduling algorithm for workflow execution in DVFS-enabled cloud environment

机译：支持DVFS云环境中的工作流执行的智能能量和可靠性识别调度算法

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摘要

The energy consumption is one of the major concerns addressed by recent researches in the green cloud environment. As a result, to decrease the enormous increase in energy consumption, one of the most promising scheduling techniques used nowadays is the Dynamic Voltage Frequency Scaling (DVFS) technique. DVFS reduces energy consumption by lowering the processors' frequency for virtual machines (VMs); this results in an increase in the occurrence of errors during the execution of the workflow, which decreases the reliability of the system. As a consequence, this paper addresses the DVFS problem by proposing a new Smart Energy and Reliability Aware Scheduling algorithm (SERAS) for workflow execution in the cloud environment. The SERAS approach split the target deadline of workflow across tasks. Afterward, the proposed algorithm decreases the frequency of processors for VMs using the DVFS technique without missing the tasks' deadline. As a consequence, the SERAS algorithm allocates the tasks to the most appropriate VMs with suitable frequencies levels while guaranteeing both the reliability and the completion time requirement of green cloud systems. To vindicate the effectiveness of the SERAS algorithm in real-world applications, we carried out a series of experiments on four real workflows generated using a scientific toolkit. Also, we performed comprehensive experiments with recent researches. The results showed that the SERAS algorithm outperforms its competitors while keeping both the reliability and completion time requirements. Furthermore, the estimated time complexity and average execution time show the applicability of the SERAS algorithm compared with their competitors.
机译：能源消耗是绿云环境最近研究的主要问题之一。结果，为了降低能量消耗的巨大增加，现在使用的最有前途的调度技术之一是动态电压频率缩放（DVFS）技术。通过降低虚拟机（VM）的处理器频率，DVFS降低了能量消耗;这导致在执行工作流程期间发生错误的发生，这降低了系统的可靠性。因此，本文通过提出新的智能能量和可靠性清除调度算法（SERAS）来解决云环境中的工作流程执行的新智能能量和可靠性识别调度算法。 SERAS方法将目标流跨任务的目标截止日期分开。之后，所提出的算法使用DVFS技术降低VM的处理器的频率，而不会丢失任务的截止日期。因此，SERAS算法将任务分配给具有合适的频率级别的最合适的VM，同时保证了绿云系统的可靠性和完成时间要求。为了使Rumation在现实应用中的SERAS算法的有效性上进行验证，我们在使用科学工具包生成的四个实际工作流程中进行了一系列实验。此外，我们对最近的研究进行了全面的实验。结果表明，SERAS算法优于其竞争对手，同时保持可靠性和完成时间要求。此外，估计的时间复杂性和平均执行时间显示了SERAS算法与竞争对手的适用性。

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