Earticle

초록

영어

Knowledge of flow distributions from a stream of packets passing through a network link helps a network operator infer traffic demands, characterize source traffic, and detect traffic anomalies. Flow monitoring provides critical information for many network applications, and some approaches have been proposed to address flow monitoring. However, they either lack accuracy, or require intensive computing resources. In this paper, we propose a Resource-Efficient System (called RES) for monitoring flow distribution, which consists of Double sampling module, Online streaming module, and Offline processing module. Using real network traffic traces, we show that the RES indeed produces the desired accuracy in monitoring flow distribution.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Some Elementary Concepts
 4. A Resource-Efficient System
  4.1. RES Architecture
  4.2. Double Sampling Module
  4.3. Online Streaming Module
  4.4. Offline Processing Module
 5. Evaluation
  5.1. Data Considerations
  5.2. Estimation Comparison
  5.3. Estimation Accuracy and Scalability
 6. Conclusions
 Acknowledgements
 References

키워드

저자

• Hong Ye [ School of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning, China, 116026 ]
• Weijiang Liu [ School of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning, China, 116026 ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605