Advertisement

Distributed Staff’s Integral Systems Design and Implementation

  • Qing Xie
  • Guo-Dong Liu
  • Zheng-Hua Shu
  • Bing-Xin Wang
  • Deng-Ji Zhao
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7389)

Abstract

This article is based on the practical application of the communications industry, to make fully use of the characteristic of distributed systems such as it can solve the dispersed organization and the data that needs to be communicated, expand the organization with minimal impact, balance the load to find the right system architecture. So as to achieve the distribution application, centralized management, in the building characteristics of the management mechanism to achieve the different system needs of different parts.

Keywords

communications industry distributed systems minimal impact distribution application centralized management 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    George, C., Jean, D., Tim, K.: Distributed Systems Concepts and Design, 3rd edn. Addison-Wesley, Pearson Education (2001)Google Scholar
  2. 2.
    Garofalakis, M.: Mining Sequential Patterns With Regular Expression Constraints. IEEE Transactions on Knowledge and Data Engineering 14(3), 530–552 (2002)CrossRefGoogle Scholar
  3. 3.
    Franks, R.G.: Performance Analysis of Distributed Server Systems. Carleton University, Ottawa (1999)Google Scholar
  4. 4.
    Reiser, M., Lavenburg, S.: Mean Value Analysis of Closed Queuing Networks. ACM 28(3), 629 (1981)zbMATHCrossRefGoogle Scholar
  5. 5.
    Reiser, M.: Mean Value Analysis of Queuing Networks, A New Look at An Old Problem. In: Performance of Computer Systems, pp. 63–77. North-Holland, Amsterdam (1979)Google Scholar
  6. 6.
    John, D., Rich, F., Tai, J.: Web Server Performance Measurement and Modeling Techniques. Performance Evaluation (33), 5–26 (1988)Google Scholar
  7. 7.
    Caraca-Valente, J.P., Lopez-Chavarrias, I.: Discovering Similar Patterns in Time Series. In: Proceedings of the 6th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, USA, Boston, Massachusetts, pp. 497–505 (2000)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Qing Xie
    • 1
  • Guo-Dong Liu
    • 1
  • Zheng-Hua Shu
    • 1
  • Bing-Xin Wang
    • 1
  • Deng-Ji Zhao
    • 1
  1. 1.Key Laboratory for Optoelectronics & Communication of Jiangxi ProvinceJiangxi Science & Technology Normal UniversityNanchangP.R. China

Personalised recommendations