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Optimization of Service Composition Problem in Multi-cloud Manufacturing Environment

Koosheshi, Erfan | 2019

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 52073 (01)
  4. University: Sharif University of Technology
  5. Department: Industrial Engineering
  6. Advisor(s): Houshmand, Mahmoud
  7. Abstract:
  8. Technological progress, complexity in costumers’ needs and distributed resources make extreme competition in business environment. It produces some novel concepts. In this research, we concentrate on cloud manufacturing which was generated by using cloud computing concepts and focuses on resources sharing between various manufacturers. One of key problems in this field is service composition. In this work, I have proposed a mathematical model with binary variables for service composition problem in multi-cloud manufacturing environment. In this model, I’ve considered for qualities of services (cost, time, energy, reliability) as objective functions. Cost and time functions include the cost and time of manufacturing, cloud change and transportation. Energy and reliability functions include only manufacturing providers. After proposing the model, I examine a numerical instance. In order to optimize this problem, based on the suggesting model, I utilized multi-objective genetic algorithm (NSGA-II). I acquire Pareto front by exploiting this algorithm and by using the solutions which there are in this front, the nearest solution to mean of Pareto front was introduced as the optimal solution
  9. Keywords:
  10. Cloud Manufacturing ; Service Composition ; Multiobjective Optimization ; Pareto Front Method ; Non-Dominate Sorting Genetic Algorithm (NSGAII) Method ; Multi-Cloud Environment

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