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首页> 外文期刊>International Journal of Computer Integrated Manufacturing >Study on multi-task oriented services composition and optimisation with the 'Multi-Composition for Each Task' pattern in cloud manufacturing systems
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Study on multi-task oriented services composition and optimisation with the 'Multi-Composition for Each Task' pattern in cloud manufacturing systems

机译：在云制造系统中使用“每个任务的多组合”模式研究面向多任务的服务组合和优化

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摘要

Recently, cloud manufacturing has been generating a great deal of interest among both practical users and researchers. Multi-task oriented manufacturing cloud services composition and optimisation (MTO-MCSCO) is critical to the optimal allocation of manufacturing resources and capabilities in cloud manufacturing systems. However, if users' QoS requirements on multi-functionality manufacturing tasks (MFMTs) are high enough, no competent composite services can be identified based on the concepts of the single-task oriented services composition and optimisation (STO-SCO) technique, which was previously in use, and the currently existing 'Each Composition for Each Task' (ECET) pattern. To circumvent this, a 'Multi-Composition for Each Task' (MCET) pattern based global approach is proposed to combine the incompetent composite services into a whole to perform each MFMT collectively, in order to ensure the success rate of QoS requirement fulfillment and the overall QoS outcome. This new issue of MTO-MCSCO with the MCET pattern is a more general problem than are the previous STO-SCO and the current ECET pattern. To formulate the problem, exterior aggregation patterns and formulas are proposed. To tackle the problem, a hybrid-operator based matrix coded genetic algorithm (HO-MCGA) is implemented. The experimental results indicate that the proposed MCET pattern based global approach significantly outperforms the previous approaches, and the proposed HO-MCGA is sound performance-wise.
机译：最近，云制造引起了实际用户和研究人员的极大兴趣。面向多任务的制造云服务组合和优化（MTO-MCSCO）对于云制造系统中制造资源和功能的最佳分配至关重要。但是，如果用户对多功能制造任务（MFMT）的QoS要求足够高，则无法基于面向单任务的服务组合和优化（STO-SCO）技术的概念来确定合格的组合服务。以前使用的，以及当前存在的“每个任务的每个组成”（ECET）模式。为了避免这种情况，提出了一种基于“每个任务的多个组成部分”（MCET）模式的全局方法，该方法将不称职的组合服务组合为一个整体，以共同执行每个MFMT，以确保QoS要求满足的成功率和整体QoS结果。与以前的STO-SCO和当前的ECET模式相比，本期带有MCET模式的MTO-MCSCO新问题更为普遍。为了解决这个问题，提出了外部聚集模式和公式。为了解决该问题，实现了基于混合算子的矩阵编码遗传算法（HO-MCGA）。实验结果表明，所提出的基于MCET模式的全局方法明显优于先前的方法，并且所提出的HO-MCGA在性能上是明智的。

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