Automatic Classification Method of Web Services in Cloud Environment

Jun Rong Li; Wen Bo Zhou; Li Wen Mu; Tong Yu Yin; Yuan Li Feng

doi:10.4028/www.scientific.net/AMM.543-547.2933

Paper Titles

Service Discovery Based on Self-Evolution of Domain Ontology and Cloud Migration of Web Service
p.2915

3D Reconstruction of Rock Mass Based on Point Cloud Library
p.2920

Analysis and Research of Web Database Interface Performance
p.2924

The Research on Software Reuse Technology
p.2929

Automatic Classification Method of Web Services in Cloud Environment
p.2933

University Heterogeneous Data Source Integration Middleware Design Based on XML
p.2937

Research and Implementation of LED Optical Design Focused Web Crawler
p.2941

An Implement Scheme of Persistence Layer Based on Hibernate
p.2945

A Performance-Based Policy for Job Assignment under Distributed Rendering Environments
p.2949

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547Automatic Classification Method of Web Services in...

Automatic Classification Method of Web Services in Cloud Environment

Abstract:

Different cloud services need different resources, how to use the resources efficiently has become one of the hot research topics about cloud computing. In order to improve the utilization of resources in cloud, this paper proposes an automatic cloud service classification method, which uses an artificial neural network to predict the type of service resource requirements, and classifies services based on the predicting result. In this paper, we do classification experiments on three groups of Web services on Web service site. The experiment results show that, the method is effective and can predict the type of resource requirements for Web services automatically.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

2933-2936

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.2933

Citation:

Cite this paper

Online since:

March 2014

Authors:

Jun Rong Li*, Wen Bo Zhou, Li Wen Mu, Tong Yu Yin, Yuan Li Feng

Keywords:

Classify, Cloud Computing, Neural Network (NN), Web Service

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Clifton C, Leavens GT, Chambers C, Millstein T. MultiJava: modular open classes and symmetric multiple dispatch for Java. ACM SIGPLAN Notices, 2000, 35(10): 130-145.

DOI: 10.1145/354222.353181

Google Scholar

[2] DENG Xiao-heng, LU Xi-Cheng, WANG Huai-Min: Study on Trust Evaluation Based Resource Scheduling in iVCE. Chinese Journal of Computers, 2007, 30(10): 1750-1762.

Google Scholar

[3] TIAN Guan-Hua, Meng Dan, ZHAN Jian-Feng: Reliable Resource Provision Policy for Cloud Computing. Chinese Journal of Computers, 2010, 33(10): 1859-1872.

DOI: 10.3724/sp.j.1016.2010.01859

Google Scholar

[4] YUAN Ying-Chun, LI Xiao-Ping, WANG Qian, ZHANG Yi: Bottom Level Based Heuristic for Workflow Scheduling in Grids. Chinese Journal of Computers, 2008, 31(2): 282-290.

DOI: 10.3724/sp.j.1016.2008.00282

Google Scholar

[5] HU Jian-Qiang, ZOU Peng, WANG Huai-Min, ZHOU Bin: Research on Web Service Description Language QWSDL and Service Matching Model. Chinese Journal of Computers, 2005, 28(4): 505-513.

Google Scholar

[6] http: /webservice. webxml. com. cn/webservices.

Google Scholar