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Research of Cloud Manufacturing Execution path Optimization based on adaptive Ant Colony Algorithm on Hadoop platform

机译:基于Adap平台自适应蚁群算法的云制造执行路径优化研究

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Cloud Manufacturing is developed in the cloud computing, which is based on the idea of "Made in service" recently. As execution of manufacturing resources is more complicated than computational resources the service combination execution reliability becomes a mandatory considering problem in cloud manufacturing. In this paper we present a cloud manufacturing service composition method considering execution reliability based on adaptive ant algorithm, which in hadoop environment to optimize the use of composite service execution path to save the costs. As the experimental result shown, this method can effectively avoid the congestion of data on the critical path.
机译:云制造是在云计算中开发的,这是基于最近“在服务中”的“制造”的想法。 由于制造资源的执行比计算资源更复杂,服务组合执行可靠性成为云制造中的强制性考虑问题。 在本文中,我们呈现了一种考虑基于Adaptive Ant算法的执行可靠性的云制造服务组合方法,该方法在Hadoop环境中优化了复合服务执行路径的使用以节省成本。 作为所示的实验结果,该方法可以有效地避免在关键路径上的数据拥塞。

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