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Research on Security and Communication Networks Published by Researchers at College of Information Engineering (Towards Optimal Resources Allocation in Cloud Manufacturing: New Task Decomposition Strategy and Service Composition Model)

机译:研究安全性和通信网络学院的研究人员发表的信息工程(对最优云制造资源配置:新的任务分解策略和服务组合模型)

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By a News Reporter-Staff News Editor at Network Daily News – Investigators publish new report on security and communication networks. According to news reporting originating from the College of Information Engineering by NewsRx correspondents, research stated, “Service composition optimization is one of the core issues in cloud manufacturing research.” Our news reporters obtained a quote from the research from College of Information Engineering: “However, all current studies of service composition in cloud manufacturing assume that tasks have been decomposed into subtasks, so they can be directly mapped to existing services. However, due to the complexity, diversity, and multilevel of services in cloud manufacturing, services have different granularity. Therefore, the matching between tasks and services does not always occur at the lowest level. For solving the problem of discontinuity between task decomposition and service composition, this paper considers the characteristics of existing services in the cloud pool and proposes a task decomposition strategy based on task/service matching on the basis of refining the description model of tasks and services. Then, for the decomposed subtask set, the E-CARGO model is used to model the optimal composition process of services, and CPLEX is used to solve the model. Practical cases show that the proposed task decomposition strategy can solve the problem of discontinuity between task decomposition and service composition without relying on more expert systems.”
机译:由一个新闻记者在网络新闻编辑每日新闻,调查人员发布的新报告安全性和通信网络。新闻报道来自学院信息工程NewsRx记者,研究说,”服务组合优化是云计算的核心问题之一制造业的研究。”从大学获得了引用的研究信息工程:“不过,所有的电流研究云服务组合制造业一直假设任务分解为子任务,所以他们可以直接映射到现有服务。复杂性、多样性和多层次的服务在云制造、服务有不同的粒度。并不总是发生在任务和服务最低水平。任务分解和之间的不连续服务组合,本文考虑了云中的现有服务的特点池,提出任务分解策略基于任务/服务匹配的基础上精炼的描述模型和任务服务。E-CARGO模型用于模型最优组合服务的过程和最大化策略用于解决模型。提出了任务分解策略解决问题的任务之间的不连续分解和服务组合依靠专家系统。”

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