Study on E-Commerce Platform Operation Mechanism in Big Data Environmen

Zhong Kan Xiong; Pei Zhen Wan; Jiu Ping Cai

doi:10.4028/www.scientific.net/AMM.687-691.2776

Paper Titles

Brief Analysis of Cloud Computing Security
p.2760

Data Security Research for Cloud Computing
p.2764

Design and Realization of Algorithm Visualization Teaching Presentation System on Computer Graphics
p.2768

Analysis of Computer Information Processing Technology in Era of Big Data
p.2772

Study on E-Commerce Platform Operation Mechanism in Big Data Environmen
p.2776

Design and Implementation of Campus Culture Service Module on Library Unified Information System
p.2780

Research on Power Supply Enterprise Performance Management System Based on Neural Network Algorithm
p.2784

Design and Implementation of JAVA Online Examination System Based on WEB
p.2788

The Simulation Analysis of Network Video Teaching Flow in School
p.2792

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691Study on E-Commerce Platform Operation Mechanism...

Study on E-Commerce Platform Operation Mechanism in Big Data Environmen

Abstract:

Big data is one of the important development direction of modern information technology, realizing the sharing and analysis of large data will bring immeasurable economic value, but also has a tremendous role in promoting the social. In the age of big data, unified the data representation, large data processing, query, analysis and visualization are the key problem to be solved urgently. In order to provide a standardized framework construction of the large data service platform, this paper designed a large data service oriented architecture user experience. Secondly, in the aspect of data model, in order to achieve high data service for non structured data, the design of the non structured data model based on subject behavior. In large data service model, algebraic model large data services and their composition was established by using process algebra. In large data service applications, detailed retrieval, process analysis and visualization services, and by improving the retrieval accuracy and efficiency of the service in two aspects of measures to achieve the high data service optimization.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 687-691)

Pages:

2776-2779

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.687-691.2776

Citation:

Cite this paper

Online since:

November 2014

Authors:

Zhong Kan Xiong*, Pei Zhen Wan, Jiu Ping Cai

Keywords:

Big Data Service, Data Model, Service Model, Unstructured Data

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] M.J. Carey, N. Onose and M. Petropoulos, Data services, Communications of the ACM, 55(6), 2012, 86-97.

DOI: 10.1145/2184319.2184340

Google Scholar

[2] L.H. Zhou, H.J. Chen and Y.X. Mao, Data service composition method based on query rewriting, Computer Integrated Manufacturing System, 15(4), 2009, 823-832.

Google Scholar

[3] X.F. Meng and X. Ci, Data management: concepts, techniques and challenges, Research and Development of Computer, 50(1), 2013, 146-169.

Google Scholar

[4] M. Liu, J.W. Yan and J. Wang, Dynamic workflow service and resource model based on interoperability framework, Research and Development of Computer, 12(2), 2006, 264-270.

Google Scholar

[5] J.F. Tang, J.C. Wang and X.N. Zhang, Service composition method in data integration system, Computer Application, 12(3), 2010, 209-211.

Google Scholar