Journal ArticleDOI
A flexible QoS-aware Web service composition method by multi-objective optimization in cloud manufacturing
TLDR
An efficient e-dominance multi-objective evolutionary algorithm (EDMOEA) is developed to solve the presented model and experimental results verify the effectiveness and efficiency of the proposed method for the large-scale QWSC problem.About:
This article is published in Computers & Industrial Engineering.The article was published on 2016-09-01. It has received 115 citations till now. The article focuses on the topics: Cloud manufacturing & Multi-objective optimization.read more
Citations
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Journal ArticleDOI
Scheduling in cloud manufacturing: state-of-the-art and research challenges
TL;DR: A state-of-the-art literature survey on scheduling issues in cloud manufacturing and a detailed statistical analysis of the literature is provided based on the data gathered from the Elsevier’s Scopus abstract and citation database.
Journal ArticleDOI
A systematic literature review of cloud computing use in supply chain integration
TL;DR: Evidence of a positive relationship between the adoption of Cloud Computing use in process/activity integration, technology/system integration, and supply chain partner integration is provided and it is indicated that Cloud computing use in supply chain can also have an impact on the integration of the supply chain’s information, physical and/or financial flows.
Journal ArticleDOI
A systematic literature review on QoS-aware service composition and selection in cloud environment
TL;DR: This paper focuses to systematically categorize and evaluate the current research approaches and strategies on QoS-aware cloud service composition (published up to August 2017), and classifies the researches into two primary groups based on the environment of the problem.
Journal ArticleDOI
Prioritizing the solution of cloud service selection using integrated MCDM methods under Fuzzy environment
TL;DR: This paper aims to design a new cloud service selection model under the fuzzy environment by utilizing the analytical hierarchy process (AHP) and fuzzy technique for order preference by similarity to ideal solution (TOPSIS).
Journal ArticleDOI
Service optimal selection and composition in cloud manufacturing: a comprehensive survey
Hamed Bouzary,F. Frank Chen +1 more
TL;DR: The goal of this article is to provide a comprehensive highlight for researchers who are inspired to explore work in the related areas and acquaint them with related research work done to date on this NP-hard problem.
References
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Journal ArticleDOI
A fast and elitist multiobjective genetic algorithm: NSGA-II
TL;DR: This paper suggests a non-dominated sorting-based MOEA, called NSGA-II (Non-dominated Sorting Genetic Algorithm II), which alleviates all of the above three difficulties, and modify the definition of dominance in order to solve constrained multi-objective problems efficiently.
Book
Multi-Objective Optimization Using Evolutionary Algorithms
Kalyanmoy Deb,Deb Kalyanmoy +1 more
TL;DR: This text provides an excellent introduction to the use of evolutionary algorithms in multi-objective optimization, allowing use as a graduate course text or for self-study.
Journal ArticleDOI
QoS-aware middleware for Web services composition
Liangzhao Zeng,Boualem Benatallah,Anne H. H. Ngu,Marlon Dumas,Jayant R. Kalagnanam,Henry Chang +5 more
TL;DR: This paper presents a middleware platform which addresses the issue of selecting Web services for the purpose of their composition in a way that maximizes user satisfaction expressed as utility functions over QoS attributes, while satisfying the constraints set by the user and by the structure of the composite service.
Journal ArticleDOI
Workflow Patterns
TL;DR: In this paper, the authors describe a number of workflow patterns addressing what they believe identify comprehensive workflow functionality and provide the basis for an in-depth comparison of commercial workflow management systems.
Journal ArticleDOI
Service-Oriented Computing: State of the Art and Research Challenges
TL;DR: A service-oriented computing promotes the idea of assembling application components into a network of services that can be loosely coupled to create flexible, dynamic business processes and agile applications that span organizations and computing platforms.