QoS-based Cloud Manufacturing Service Composition using Ant Colony Optimization Algorithm

被引:0
作者
Neshati, Elsoon [1 ]
Kazem, Ali Asghar Pourhaji [2 ]
机构
[1] Islamic Azad Univ, Tabriz Branch, Dept Mech Engn, Tabriz, Iran
[2] Islamic Azad Univ, Tabriz Branch, Dept Comp Engn, Tabriz, Iran
关键词
Cloud computing; cloud manufacturing; service composition; ant colony optimization;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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.
引用
收藏
页码:437 / 440
页数:4
相关论文
共 11 条
[1]  
Cardoso J., 2004, WEB SEMANTICS SCI SE, V1, P281, DOI DOI 10.1016/J.WEBSEM.2004.03.001
[2]   Techniques to support Web Service selection and consumption with QoS characteristics [J].
Diamadopoulou, Vassiliki ;
Makris, Christos ;
Panagis, Yannis ;
Sakkopoulos, Evangelos .
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2008, 31 (02) :108-130
[3]  
Hoffmann J., 2007, P 22 NAT C ART INT A, P1013
[4]  
Jaeger M. C., 2007, COMM DISTR SYST KIVS
[5]  
Li Bo-hu, 2010, Computer Integrated Manufacturing Systems, V16, P1
[6]   A modeling and description method of multidimensional information for manufacturing capability in cloud manufacturing system [J].
Luo, Yongliang ;
Zhang, Lin ;
Tao, Fei ;
Ren, Lei ;
Liu, Yongkui ;
Zhang, Zhiqiang .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2013, 69 (5-8) :961-975
[7]   A hybrid approach using genetic and fruit fly optimization algorithms for QoS-aware cloud service composition [J].
Seghir, Fateh ;
Khababa, Abdellah .
JOURNAL OF INTELLIGENT MANUFACTURING, 2018, 29 (08) :1773-1792
[8]   Cloud manufacturing: a computing and service-oriented manufacturing model [J].
Tao, F. ;
Zhang, L. ;
Venkatesh, V. C. ;
Luo, Y. ;
Cheng, Y. .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2011, 225 (B10) :1969-1976
[9]   Correlation-aware resource service composition and optimal-selection in manufacturing grid [J].
Tao, Fei ;
Zhao, Dongming ;
Hu Yefa ;
Zhou, Zude .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2010, 201 (01) :129-143
[10]  
Wang XV, 2013, ROBOT CIM-INT MANUF, V29, P232, DOI [10.1016/j.rcim.2013.01.005, 10.1016/jscim.2013.01.005]