Technology of Network & Communication
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 2
525-527

Data partitioning algorithm based on capacity and workload in DIDS

Zhang Runliana,b
Li Haoa
Ye Zhiboa
Zhao Xinhongc
a. Guangxi Colleges & Universities Key Laboratory of Cloud Computing & Complex Systems, b. Guangxi Wireless Broadband Communication & Signal Processing Key Laboratory, c. Guangxi Key Laboratory of Cryptography & Information Security, Guilin University of Electronic Technology, Guilin Guangxi 541004, China
DOI: 10.19734/j.issn.1001-3695.2017.08.0725

Abstract

Aiming at the efficiency and detection rate problems of the massive data parallel detecting in high speed network distributed intrusion detection, this paper proposed a data partitioning algorithm based on capacity and workload. In this algorithm, according to the collected performance indicators and running status of data analysis node's for parallel data processing in the cluster, it evaluated the data processing capacity and the workload of node's. Based on the node's capacity and load adjustment factor, realized the dynamic data partition among the data analysis node's by considering the weight of the node for detecting and analyzing data in the cluster. It made the partitioned data granularity of the node matches with node's capacity and real-time load. The tested results show that the proposed algorithm can reduce the detection time, improve the efficiency and detection rate of the data parallel processing.

Foundation Support

国家自然科学基金资助项目(61572148)
广西高校云计算与复杂系统重点实验室项目(YF16205)
广西无线宽带通信与信号处理重点实验室主任基金资助项目(GXKL061510,GXKL0614110)
广西密码学与信息安全重点实验室(GCIS201623)
研究生创新项目(2017YJCX26,YCSW2018138)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.08.0725
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 2
Section: Technology of Network & Communication
Pages: 525-527
Serial Number: 1001-3695(2019)02-045-0525-03

Publish History

[2019-02-05] Printed Article

Cite This Article

张润莲, 李豪, 叶志博, 等. 分布式入侵检测中基于能力与负载的数据分割算法 [J]. 计算机应用研究, 2019, 36 (2): 525-527. (Zhang Runlian, Li Hao, Ye Zhibo, et al. Data partitioning algorithm based on capacity and workload in DIDS [J]. Application Research of Computers, 2019, 36 (2): 525-527. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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