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Cost-aware challenges for workflow scheduling approaches in cloud computing environments: Taxonomy and opportunities

机译：云计算环境中的工作流调度方法的成本意识挑战：分类法和机遇

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摘要

Workflow Scheduling (WFS) mainly focuses on task allocation to achieve the desired workload balancing by pursuing optimal utilization of available resources. At the same time, relevant performance criteria and system distribution structure must be considered to solve specific WFS problems in cloud computing by providing different services to cloud users on pay-as-you-go and on-demand basis. In the literature, various WFS challenges affecting WFS execution cost have been discussed. However, prior work did not consider such challenges collectively. The main objective of this paper is to facilitate researchers in selecting appropriate cost-aware WFS approaches from the available pool of alternatives. To achieve this objective, we conducted an extensive review to investigate and analyze the underlying concepts of the relevant approaches. The cost-aware relevant challenges of WFS in cloud computing are classified based on Quality of Service (QoS) performance, system functionality and system architecture, which ultimately result in a taxonomy set. Some research opportunities are also discussed that help in identifying future research directions in the area of cloud computing. The findings of this review provide a roadmap for developing cost-aware models, which will motivate researchers to propose better cost-aware approaches for service consumers and/or utility providers in cloud computing.
机译：工作流调度（WFS）主要集中于任务分配，以通过追求可用资源的最佳利用来实现所需的工作负载平衡。同时，必须考虑相关的性能标准和系统分布结构，以通过按需付费和按需向云用户提供不同的服务来解决云计算中的特定WFS问题。在文献中，已经讨论了影响WFS执行成本的各种WFS挑战。但是，先前的工作并未共同考虑这些挑战。本文的主要目的是帮助研究人员从可用的替代方案中选择合适的，具有成本意识的WFS方法。为了实现这一目标，我们进行了广泛的审查，以调查和分析相关方法的基本概念。 WFS在云计算中与成本相关的挑战基于服务质量（QoS）性能，系统功能和系统体系结构进行了分类，最终导致了分类法的建立。还讨论了一些研究机会，这些机会有助于确定云计算领域的未来研究方向。此次审查的结果为开发成本意识模型提供了路线图，这将激励研究人员为云计算中的服务消费者和/或公用事业提供商提出更好的成本意识方法。

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