{"title":"Gridbus Workfl ow Enactment Engine","authors":"R. Buyya","doi":"10.1201/9781315218854-13","DOIUrl":null,"url":null,"abstract":"With the advent of Grid technologies, scientists and engineers are building complex and sophisticated applications to manage and process large data sets, and execute scientific experiments on distributed Grid resources [33]. Building complex workflows requires means for composing and executing distributed applications. A workflow expresses an automation of procedures wherein files and data are passed between procedures applications according to a defined set of rules, to achieve an overall goal [13]. A workflow management system defines, manages and executes workflows on computing resources. The use of the workflow paradigm for application composition on Grids offers several advantages [22] such as: • Ability to build dynamic applications and orchestrate the use of distributed resources. • Utilization of resources that are located in a suitable domain to increase throughput or reduce execution costs. • Execution spanning multiple administrative domains to obtain specific processing capabilities. • Integration of multiple teams involved in managing different parts of the experiment workflow – thus promoting inter-organizational collaborations.","PeriodicalId":88963,"journal":{"name":"Proceedings of the ... IEEE/ACM International Conference on Grid Computing. IEEE/ACM International Conference on Grid Computing","volume":"16 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ... IEEE/ACM International Conference on Grid Computing. IEEE/ACM International Conference on Grid Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1201/9781315218854-13","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

With the advent of Grid technologies, scientists and engineers are building complex and sophisticated applications to manage and process large data sets, and execute scientific experiments on distributed Grid resources [33]. Building complex workflows requires means for composing and executing distributed applications. A workflow expresses an automation of procedures wherein files and data are passed between procedures applications according to a defined set of rules, to achieve an overall goal [13]. A workflow management system defines, manages and executes workflows on computing resources. The use of the workflow paradigm for application composition on Grids offers several advantages [22] such as: • Ability to build dynamic applications and orchestrate the use of distributed resources. • Utilization of resources that are located in a suitable domain to increase throughput or reduce execution costs. • Execution spanning multiple administrative domains to obtain specific processing capabilities. • Integration of multiple teams involved in managing different parts of the experiment workflow – thus promoting inter-organizational collaborations.
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网格总线工作流制定引擎
随着网格技术的出现,科学家和工程师正在构建复杂而复杂的应用程序来管理和处理大型数据集,并在分布式网格资源上执行科学实验[33]。构建复杂的工作流需要组合和执行分布式应用程序的方法。工作流表达了过程的自动化,其中文件和数据根据一组已定义的规则在过程应用程序之间传递,以实现总体目标[13]。工作流管理系统定义、管理和执行计算资源上的工作流。在网格上使用工作流范式进行应用程序组合提供了几个优势[22],例如:•能够构建动态应用程序和编排分布式资源的使用。•利用位于合适域中的资源来增加吞吐量或降低执行成本。•执行跨多个管理域,以获得特定的处理能力。•整合多个团队参与管理实验工作流程的不同部分,从而促进组织间的协作。
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