Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2014, Vol. 37 ›› Issue (4): 93-97.doi: 10.13190/j.jbupt.2014.04.020

• Reports • Previous Articles     Next Articles

Design of Autoregressive-Based Network Traffic Redundancy Elimination Algorithm

YE Peng-di, YAO Wen-bin, LI Xiao-yong   

  1. Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2013-10-31 Online:2014-08-28 Published:2014-08-09

Abstract:

For purpose of enhancing network bandwidth utilization and for a balance between network traffic and transfer efficiency, based on the network traffic autoregressive technology, a new network traffic redundancy elimination algorithm called ANTREA was proposed. It splits data transfer missions into transfer units. The data in one transfer unit are executed in two ways, one is traditional traffic redundancy elimination, and the other is direct data transfer. A transfer unit makes up models of network situation, and predicts the time cost of checking duplications and the available bandwidth. So, it adjusts the size of direct data transfer according to the result of prediction. Experiments show that ANTREA algorithm can adjust its transfer strategy according to the network situation and utilize network bandwidth sufficiently to achieve higher transfer efficiency. It is of better flexibility on network situation than EndRE and has almost 7 times transfer throughput than EndRE in network with 10MB/s bandwidth.

Key words: network transfer, traffic redundancy elimination, autoregressive model

CLC Number: