Research of Cloud Manufacturing Execution Path Optimization Based on Adaptive Ant Colony Algorithm on Hadoop Platform

Zhi Gao Chen

doi:10.4028/www.scientific.net/AMM.628.417

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 628Research of Cloud Manufacturing Execution Path...

Research of Cloud Manufacturing Execution Path Optimization Based on Adaptive Ant Colony Algorithm on Hadoop Platform

Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volume 628)

Pages:

417-420

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.628.417

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Online since:

September 2014

Authors:

Zhi Gao Chen*

Keywords:

Ant Colony Algorithm, Cloud Manufacturing, Hadoop Platform

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* - Corresponding Author

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