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Heuristic and meta-heuristic workflow scheduling algorithms in multi-cloud environments — A survey

机译:多云环境中的启发式和元启发式工作流调度算法—调查

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Cloud computing recent emanation has drastically diversified everyone's perception of software delivery, infrastructure architectures, application development and deployment models. It is a new touchstone preceding the enterprise application development that can effectively expedite and facilitate the execution of various workflows in business process management system. Workflow is an automation of a business entity that can manage the business processes efficiently satisfying the requirements of prevailing enterprises. Dynamic workflows in a cloud computing environment empower the utilization of various cloud services to facilitate workflow execution. Scheduling multiple workflows in cloud environment is always a challenge. Workflow scheduling is a critical issue in the management of workflow execution. In this paper, we have compared and analyzed the performance of different heuristic workflow scheduling algorithms with various QoS parameters and scheduling factors.
机译:云计算的最新发展极大地分散了每个人对软件交付,基础架构,应用程序开发和部署模型的认识。它是企业应用程序开发之前的新试金石,可以有效地加速和促进业务流程管理系统中各种工作流的执行。工作流是业务实体的自动化,可以有效地管理业务流程以满足主要企业的需求。云计算环境中的动态工作流程可以利用各种云服务来促进工作流程的执行。在云环境中安排多个工作流程始终是一个挑战。工作流计划是工作流执行管理中的关键问题。在本文中,我们比较并分析了具有各种QoS参数和调度因素的启发式工作流调度算法的性能。

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