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Trust Based Meta-Heuristics Workflow Scheduling in Cloud Service Environment

机译:云服务环境中基于信任的元启发式工作流调度

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Cloud computing has emerged as a new style of computing in distributed environment. An efficient and dependable Workflow Scheduling is crucial for achieving high performance and incorporating with enterprise systems. As an effective security services aggregation methodology, Trust Work-flow Technology (TWT) has been used to construct composite services. However, in cloud environment, the existing closed network services are maintained and functioned by third-party organizations or enterprises. Therefore service-oriented trust strategies must be considered in workflow scheduling. TWFS related algorithms consist of trust policies and strategies to overcome the threats of the application with heuristic workflow scheduling. As a significance of this work, trust based Meta heuristic workflow scheduling (TMWS) is proposed. The TMWS algorithm will improve the efficiency and reliability of the operation in the cloud system and the results show that the TMWS approach is effective and feasible.
机译:云计算已经成为分布式环境中一种新型的计算方式。高效且可靠的工作流计划对于实现高性能并与企业系统集成至关重要。作为一种有效的安全服务聚合方法,信任工作流技术(TWT)已用于构建复合服务。但是,在云环境中,现有的封闭网络服务由第三方组织或企业维护和运行。因此,在工作流调度中必须考虑面向服务的信任策略。 TWFS相关算法由信任策略和策略组成,可通过启发式工作流程调度来克服应用程序的威胁。作为这项工作的重要意义,提出了基于信任的元启发式工作流调度(TMWS)。 TMWS算法将提高云系统中操作的效率和可靠性,结果表明TMWS方法是有效可行的。

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