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首页> 外文期刊>International journal of communication systems >A fault-tolerant workflow management system with Quality-of-Service-aware scheduling for scientific workflows in cloud computing
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A fault-tolerant workflow management system with Quality-of-Service-aware scheduling for scientific workflows in cloud computing

机译：具有云计算中的科学工作流程质量感知调度的容错工作流程管理系统

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摘要

Cloud computing provides solutions to many scientific and business applications. Large-scale scientific applications, which are structured as scientific workflows, are evaluated through cloud computing. In this paper, we proposed a Quality-of-Service-aware fault-tolerant workflow management system (QFWMS) for scientific workflows in cloud computing. We have considered two real-time scientific workflows, i.e., Montage and CyberShake, for an evaluation of the proposed QFWMS. The results of the proposed QFWMS scheduling were evaluated through simulation environment WorkflowSim and compared with three well-known heuristic scheduling policies: (a) minimum completion time (MCT), (b) Maximum-minimum (Max-min), and (c) Minimum-minimum (Min-min). By considering Montage scientific workflow, the proposed QFWMS reduces the make-span 8.86%, 8.94%, and 5.53% compared with existing three heuristic policies. Similarly, the proposed QFWMS reduces the cost 6.19%, 3.52%, and 3.60% compared with existing three heuristic policies. Likewise, by considering CyberShake scientific workflow, the proposed QFWMS reduces the make-span 19.54%, 21.41%, and 25.71% compared with existing three heuristic policies. Similarly, the proposed QFWMS reduces the cost 8.78%, 8.40%, and 8.61% compared with existing three heuristic policies. More so, for QFWMS, SLA is neither violated for time constraints nor for cost constraints. While for MCT, Max-min and Min-min scheduling policies, SLA is violated 32, 37, and 23 times, respectively. Conclusively, the proposed QFWMS scheduling and management system is one of the significant workflow management systems for execution and management of scientific workflows in cloud computing.
机译：云计算为许多科学和商业应用提供了解决方案。通过云计算评估了作为科学工作流程的大规模科学应用。在本文中，我们提出了一种在云计算中的科学工作流程的服务质量感知的容错工作流管理系统（QFWM）。我们考虑了两个实时科学工作流，即蒙太奇和网络篮，用于评估所提出的QFWM。通过模拟环境Workflowsim评估所提出的QFWMS调度的结果，并与三个公知的启发式调度策略进行比较：（a）最小完成时间（MCT），（b）最大值 - 最小（max-min）和（c）最小最小（最小分钟）。通过考虑蒙太奇科学工作流程，与现有的三个启发式政策相比，建议的QFWM减少了8.86％，8.94％，8.94％和5.53％。同样，与现有三种启发式政策相比，建议的QFWM减少了6.19％，3.52％和3.60％。同样，通过考虑网络跳高的科学工作流程，与现有的三个启发式政策相比，所提出的QFWM减少了19.54％，21.41％和25.71％。同样，与现有三种启发式政策相比，建议的QFWM减少了8.78％，8.40％和8.61％。因此，对于QFWM，SLA既不违反时间限制，也不是为了成本约束。虽然MCT，MAX-MIN和MIN-MIN调度策略，SLA分别违反32,37和23次。结论，建议的QFWMS调度和管理系统是云计算中的科学工作流程的重要工作流管理系统之一。

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