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An energy-efficient, QoS-aware and cost-effective scheduling approach for real-time workflow applications in cloud computing systems utilizing DVFS and approximate computations

机译:用于利用DVF和近似计算的云计算系统中的实时工作流程应用的节能,QoS感知和经济高效的调度方法

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摘要

Green cloud computing attracts significant attention from both academia and industry. One of the major challenges involved, is to provide a high level of Quality of Service (QoS) in a cost-effective way for the end users and in an energy-efficient manner for the cloud providers. Towards this direction, this paper presents an energy-efficient, QoS-aware and cost-effective scheduling strategy for real-time workflow applications in cloud computing systems. The proposed approach utilizes per-core Dynamic Voltage and Frequency Scaling (DVFS) on the underlying heterogeneous multi-core processors, as well as approximate computations, in order to fill in schedule gaps. At the same time, it takes into account the effects of input error on the processing time of the component tasks. Our goal is to provide timeliness and energy efficiency by trading off result precision, while keeping the result quality of the completed jobs at an acceptable standard and the monetary cost required for the execution of the jobs at a reasonable level. The proposed scheduling heuristic is compared to two other baseline policies, under the impact of various QoS requirements. The simulation experiments reveal that our approach outperforms the other examined policies, providing promising results. (C) 2019 Elsevier B.V. All rights reserved.
机译:绿云计算吸引了学术界和工业的重要关注。所涉及的主要挑战之一是为最终用户的成本效益的方式提供高水平的服务质量(QoS),并以节能的方式为云提供商提供节能的方式。朝向这个方向,本文介绍了云计算系统中实时工作流程应用的节能,QoS感知和经济高效的调度策略。该方法采用底层异构多核处理器以及近似计算的每个核心动态电压和频率缩放(DVF),以填补时间表间隙。同时,它考虑了输入错误对组件任务的处理时间的影响。我们的目标是通过交易结果精度来提供及时性和能源效率,同时以可接受的标准保持完整的工作的结果质量以及在合理水平下执行工作所需的货币成本。在各种QoS要求的影响下,建议的调度启发式与另外两项基线政策进行比较。仿真实验表明,我们的方法优于其他审查的政策,提供了有希望的结果。 (c)2019 Elsevier B.v.保留所有权利。

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