Journal ArticleDOI
Correlation-aware QoS modeling and manufacturing cloud service composition
Hong Jin,Xifan Yao,Yong Chen +2 more
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TLDR
A correlation-aware manufacturing cloud service description model is presented to characterize the QoS dependence of an individual service on other related services, and a service correlation mapping model is proposed for getting correlation QoS values among services automatically.Abstract:
Recently, cloud manufacturing has attracted much attention from both academic and industry communities. Manufacturing cloud service composition and optimization is critical to the optimal resources allocation in cloud manufacturing. Since there are many manufacturing cloud services available with similar functions but different quality of service (QoS), and with potential quality correlations among them, such correlations must to be considered for manufacturing cloud service composition. In this paper, a correlation-aware manufacturing cloud service description model is presented to characterize the QoS dependence of an individual service on other related services. Based on such a model, a service correlation mapping model is proposed for getting correlation QoS values among services automatically. In addition, an effective approach for the correlation-aware optimal service selection is proposed based on a genetic algorithm. A case study indicates that services composition of higher quality can be obtained when such correlations are considered. And the effectiveness and efficiency of the proposed approach are demonstrated via simulation studies.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
Workload-based multi-task scheduling in cloud manufacturing
TL;DR: A cloud manufacturing multi-task scheduling model that incorporates task workload modelling and a number of other essential ingredients regarding services such as service efficiency coefficient and service quantity is presented and the effects of different workload-based task scheduling methods on system performance such as total completion time and service utilization are investigated.
Journal ArticleDOI
Cloud manufacturing as a sustainable process manufacturing route
TL;DR: How CM offers a more sustainable manufacturing future to the industry as a whole is demonstrated, before focusing specifically on the application to process manufacturing (e.g. food, pharmaceuticals and chemicals).
Journal ArticleDOI
Multi-population parallel self-adaptive differential artificial bee colony algorithm with application in large-scale service composition for cloud manufacturing
Jiajun Zhou,Xifan Yao +1 more
TL;DR: The proposed algorithm adopts multiple parallel subpopulations, each of which evolves according to different mutation strategies borrowed from the differential evolution to generate perturbed food sources for foraging bees, and the control parameters of each mutation strategy are adapted independently.
Journal ArticleDOI
A hybrid approach using genetic and fruit fly optimization algorithms for QoS-aware cloud service composition
Fateh Seghir,Abdellah Khababa +1 more
TL;DR: The proposed hybrid genetic algorithm (HGA) to solve the QoS-aware cloud service composition problem outperforms the simple genetic algorithm, simple fruit fly optimization algorithm, and another recently proposed algorithm (DGABC) in terms of optimality, computation time, convergence speed and feasibility rate.
References
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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
From cloud computing to cloud manufacturing
TL;DR: Some of the essential features of cloud computing are briefly discussed with regard to the end-users, enterprises that use the cloud as a platform, and cloud providers themselves.
Modeling Quality of Service for Workflows and Web Service Processes
TL;DR: This paper presents a predictive QoS model that makes it possible to compute the quality of service for workflows automatically based on atomic task QoS attributes, and presents the implementation of the model for the METEOR workflow system.
Proceedings ArticleDOI
An approach for QoS-aware service composition based on genetic algorithms
TL;DR: Genetic Algorithms, while being slower than integer programming, represent a more scalable choice, and are more suitable to handle generic QoS attributes.
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