Title :
Using TCBF technique to realize elephant flows identification
Author :
Bai, Lei ; Guo, Xiaoxin
Author_Institution :
Comput. Dept., North China Inst. of Sci. & Technol., Yanjiao, China
Abstract :
Identifying elephant flows is very important in developing effective and efficient traffic engineering schemes. In this paper, according to the characteristic of network flows, a new packet filtering technique is proposed to realize elephant flows identification. The algorithm is combined by Time-out Bloom filter and Counting Bloom Filter, where TBF filtrate small flows and CBF record large flows. This method can improve the performance of network measurement and the efficiency of the resource usage of measurement system by handling flows with different strategy according to its different feature. The theoretical analysis and the simulation result indicates that under the condition of existing some tolerable measurement error about the length of flows, TCBF algorithm can identify elephant flows accurately, which reduce the storage space and improve the processing speed efficiently.
Keywords :
computer network performance evaluation; data structures; fault tolerant computing; resource allocation; telecommunication traffic; CBF; TBF; TCBF technique; counting bloom filter; elephant flow identification; measurement system; network flow handling; network measurement performance; packet filtering technique; resource usage efficiency; time-out bloom filter; tolerable measurement error; traffic engineering schemes; Accuracy; Algorithm design and analysis; Filtering algorithms; Information filters; Mice; Radiation detectors; Bloom filter; Elephant flow; Hash; Packet filtering; Packet sampling;
Conference_Titel :
Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4577-1700-0
DOI :
10.1109/TMEE.2011.6199391