Performance analysis of clustering algorithm under two kinds of big data architecture

Author:

Li Beibei1,Liu Bo1,Lin Weiwei2,Zhang Ying1

Affiliation:

1. School of Computer, South China Normal University, Guangzhou, China. E-mails: 1538339980@qq.com, liugubin@126.com, 2283240387@qq.com

2. School of Computer Science and Engineering, South China University of Technology, Guangzhou, China. E-mail: linww@scut.edu.cn

Publisher

IOS Press

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems

Reference19 articles.

1. A reliable data delivery scheme with delay constraints for wireless sensor networks;Byun;Journal of High Speed Networks,2015

2. G. Feng and Y. Ma, A distributed frequent itemset mining algorithm based on Spark, in: Computer Supported Cooperative Wok in Design (CSCWD), 2015 IEEE 19th International Conference on, 6–8 May 2015, 2015, pp. 271–275.

3. A cluster-based data-centric model for network-aware task scheduling in distributed systems;Fiore;International Journal of Parallel Programming,2014

4. An evaluation model on key technologies of large-scale graph data processing;Gao;Journal of Computer Research and Development,2014

5. Study on carriers’ mobile Internet development strategy in the context of big data;Gu;Designing Techniques of Posts and Telecommunications,2012

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