Study on Ant Colony Algorithm about Resource Search and Optimization in Cloud Manufacturing

• Published in: Applied Mechanics and Materials Vol. 602-605; no. Advanced Manufacturing and Information Engineering, Intelligent Instrumentation and Industry Development; pp. 3152 - 3155
• Main Author: Chen, Zhi Gao
• Format: Journal Article
• Language: English
• Published: Zurich Trans Tech Publications Ltd 11.08.2014
• Subjects: Adaptive algorithms; Algorithms; Computer programs; Hardware; Information technology; Maintenance; Optimization; Resource management; Ant Colony Algorithm; Cloud Computing; Resource Search
• ISBN: 9783038351948; 3038351946
• ISSN: 1660-9336; 1662-7482; 1662-7482
• DOI: 10.4028/www.scientific.net/AMM.602-605.3152

These years, a new networked manufacturing mode named cloud manufacturing is arising. Cloud manufacturing comprehensively uses various information technology, manufacturing technology and management technology, through virtualization and servitization of manufacturing hardware and software resources. CloudM is to provide user with on-demand, always-ready, high-quality and low-consumption service, which is available from product design, manufacturing, testing, simulation and maintenance and other manufacturing lifecycle process. Service composition is one of the key issues in implementing CloudM system. In this paper, an adaptive ant algorithms have been proposed, which In hadoop environment to optimize the use of composite service execution path. As the experimental result shown, this method can effectively avoid the congestion of data on the critical path.