An Optimization Model for Cloud Service Composition and Matching of Mutual Operation and Routing Outsourcing in Cloud Supply Networks

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Jamshidi, Mohammad Reza | 2017

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 50335 (01)
University: Sharif University of Technology
Department: Industrial Engineering
Advisor(s): Fatahi, Omid
Abstract:
With the development of science and technology and its application in IT (e.g. internet, intranet and URL) the sharing of manufacturing resources reaches higher research attention, where resource virtualization enables new possibilities in terms of collaboration. As a result of these changes, with the intention of sharing optimum allocation of cloud manufacturing resource and capability among service providers and service users, the concept of service composition was introduced. Cloud services can be combine to build virtual manufacturing chain, so a strategy focusing on the evaluation and selection of virtual manufacturing resources to fulfill given services is fundamental exercise to ensure veracity and efficiency of cloud manufacturing model. Thus in this research, an optimization model for cloud service composition and matching of mutual operation and routing is proposed, and then a meta_heuristic algorithm for solving this problem is developed and sensitivity analysis is done for assessing the performance of model. At the end, different conditions are compared and best situation for establishment of cloud system is proposed
Keywords:
Cloud Manufacturing ; Genetic Algorithm ; Service Composition ; Service Quality ; Outsourcing ; Transportation Services

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