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A survey of domains in workflow scheduling in computing infrastructures: Community and keyword analysis, emerging trends, and taxonomies

机译:计算基础设施中工作流程调度域的域名:社区和关键词分析,新兴趋势和分类

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Workflows are prevalent in today's computing infrastructures as they support many domains. Different Quality of Service (QoS) requirements of both users and providers makes workflow scheduling challenging. Meeting the challenge requires an overview of state-of-art in workflow scheduling. Sifting through literature to find the state-of-art can be daunting, for both newcomers and experienced researchers. Surveys are an excellent way to address questions regarding the different techniques, policies, emerging areas, and opportunities present, yet they rarely take a systematic approach and publish their tools and data on which they are based. Moreover, the communities behind these articles are rarely studied. We attempt to address these shortcomings in this work. We introduce and open-source an instrument used to combine and store article meta-data. Using this meta-data, we characterize and taxonomize the workflow scheduling community and four areas within workflow scheduling: (1) the workflow formalism, (2) workflow allocation, (3) resource provisioning, and (4) applications and services. In each characterization, we obtain important keywords overall and per year, identify keywords growing in importance, get insight into the structure and relations within each community, and perform a systematic literature survey per part to validate and complement our taxonomies.
机译:当您支持许多域时,工作流程在今天的计算基础架构中普遍存在。用户和提供商的不同服务质量(QoS)要求使工作流程调度具有挑战性。满足挑战需要在工作流程调度中概述最先进的。通过文学来寻找最先进的,对于新人和经验丰富的研究人员来说,可以令人生畏。调查是解决有关不同技术,政策,新兴地区和当前机遇问题的问题的绝佳方式,但它们很少采取系统的方法,并发布他们的工具和数据。此外,这些物品背后的社区很少研究。我们试图解决这项工作中的这些缺点。我们介绍和开源用于组合和存储文章元数据的仪器。使用此元数据,我们将其特征和分类为工作流程调度社区和工作流程调度中的四个区域:(1)工作流形式主义,(2)工作流程分配,(3)资源配置,(4)应用程序和服务。在每个表征中,我们总体上获得了重要的关键词,识别重要的关键词,以重要性越来越重要,了解每个社区内的结构和关系,并每部分进行系统的文献调查,以验证和补充我们的分类和补充我们的分类。

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