SHANDONG SCIENCE ›› 2016, Vol. 29 ›› Issue (4): 106-111.doi: 10.3976/j.issn.1002-4026.2016.04.020

• Other Research Article • Previous Articles    

Design and implementation of distributed computing based screening system of abnormal websites

JIANG Peng1 , ZHAO Zheng-li2   

  1. 1.Network and Information Center, Ocean University of China,Qingdao 266100,China;
    2.Department of Education, Ocean University of China,Qingdao 266100,China
  • Received:2016-04-12 Published:2016-08-20 Online:2016-08-20

PDF (PC)

Like

Abstract:

We devise an automatic screening system for abnormal websites on the Internet in a largescale zone. It is implemented with .NET Framework, distributed deployment, HDFS and SQL Server. Multiple subareas deployed probes can automatically screen out abnormal sites based on the sorted log data from multiple devices. Its core services include metaanalysis of fault, task distribution, and knowledge base archive. It has certain fault analysis capability, fault analysis and guidance based on existing knowledge base, alternate devices or lines startup by calling predefined scripts. Its operation results show that it is scientific and effective, and can provide a reference for network operation and maintenance of largescale enterprises.

Key words: information system, B/S mode, .NET, distributed computing

CLC Number: 

  • TP311.1

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0), which permits third parties to freely share (i.e., copy and redistribute the material in any medium or format) and adapt (i.e., remix, transform, or build upon the material) the articles published in this journal, provided that appropriate credit is given, a link to the license is provided, and any changes made are indicated. The material may not be used for commercial purposes. For details of the CC BY-NC 4.0 license, please visit: https://creativecommons.org/licenses/by-nc/4.0

鲁ICP备10205608号
Website Copyright © Editorial Office of Shandong Science
Tel: 0531-82605310　E-mail: xuxy@qlu.edu.cn
Powered by Beijing Magtech Co. Ltd