QoS-based Cloud Manufacturing Service Composition using Ant Colony Optimization Algorithm
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 1
Abstract
Cloud manufacturing (CMfg) is a service-oriented platform that enables engineers to use the manufacturing capacity in the form of cloud-based services that aggregated in service pools on demand. In CMfg, the integration of manufacturing resources across different areas and industries is accomplished using cloud services. In recent years, the interest in cloud manufacturing service composition has grown, due to its importance in different manufacturing applications. When no single service is capable of satisfying the need for a manufacturing service requester, the service combination may be useful in order to fulfill the purpose of the manufacturing service requester. Therefore, the problem of how efficient and effective interconnection of cloud manufactring services has come to fetch many research fields. In this paper, a new algorithm is presented using an ant colony optimization for the problem of cloud manufacturing service composition considering the quality of service.
Authors and Affiliations
Elsoon Neshati, Ali Asghar Pourhaji Kazem
Keywords
Related Articles
- EP ID EP261912
- DOI 10.14569/IJACSA.2018.090160
- Views 82
- Downloads 0
Formalization of UML Composite Structure using Colored Petri Nets
Design specification and requirement analysis, during development process involved in transformation of real world problems to software system are subjected to severe issues owing to involvement of semantics. Though, for...
Implementation of Pedestrian Dynamic
Pattern generation is one of the ways to implement computer science in art. Many methods have been implemented. One of them is cellular automata. In a previous work, cellular automata (CA) has been used to create an imag...
Analytical Review on Test Cases Prioritization Techniques: An Empirical Study
For conclusively predicting the quality of any software system, software testing plays an important but a vital role. For finding faults early and to observe failures (anomalies) before implementation stage, software tes...
Implementation of Machine Learning Model to Predict Heart Failure Disease
In the current era, Heart Failure (HF) is one of the common diseases that can lead to dangerous situation. Every year almost 26 million of patients are affecting with this kind of disease. From the heart consultant and s...
Analysis of Airport Network in Pakistan Utilizing Complex Network Approach
Field of complex network covers different social, technological, biological, scientific collaborative work, communication networks and many others. Among these networks, transportation network is an important indicator t...