A time window based analytical approach for splitting high-speed network traffic

Weibo Chu; Xiaohong Guan; Zhongmin Cai; Mingxu Chen

doi:10.1109/ICITIS.2010.5689463

A time window based analytical approach for splitting high-speed network traffic

Weibo Chu
, Xiaohong Guan
, Zhongmin Cai
, Mingxu Chen

Faculty of Electronic and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Traffic splitting plays a very important role in parallel traffic replay since it determines the amount of required PCs and guarantees replay quality for each generated sub-trace. Previously adopted simulation-based method for splitting high-speed network traffic introduces serious performance limitation as it distributes traffic load to the replay PCs in an iterative trial-and-error manner. In this paper we present a time window based analytical approach for splitting high-speed network traffic. In comparison with the existing flow-based simulation methods, our approach has the following two advantages: 1) the number of replay PCs and their corresponding sub-traces are automatically obtained by one execution of the algorithm, making the method computationally efficient; 2) the maximum and average packet delay time in each of the generated sub-trace is theoretically guaranteed prior to replay. Two metrics to evaluate the replay discrepancies are also proposed. Experimental results with actual high-speed traces show that the method outperforms the current flow-based simulation methods in splitting the traffic and the quality of the generated sub-traces are strictly ensured.

Original language	English
Title of host publication	Proceedings 2010 IEEE International Conference on Information Theory and Information Security, ICITIS 2010
Pages	294-300
Number of pages	7
DOIs	https://doi.org/10.1109/ICITIS.2010.5689463
State	Published - 2010
Event	2010 IEEE International Conference on Information Theory and Information Security, ICITIS 2010 - Beijing, China Duration: 17 Dec 2010 → 19 Dec 2010

Publication series

Name	Proceedings 2010 IEEE International Conference on Information Theory and Information Security, ICITIS 2010

Conference

Conference	2010 IEEE International Conference on Information Theory and Information Security, ICITIS 2010
Country/Territory	China
City	Beijing
Period	17/12/10 → 19/12/10

Keywords

Parallel traffic replay
Replay quality
Simulation-based method
Time window based approach
Traffic splitting

Access to Document

10.1109/ICITIS.2010.5689463

Cite this

Chu, W., Guan, X., Cai, Z., & Chen, M. (2010). A time window based analytical approach for splitting high-speed network traffic. In Proceedings 2010 IEEE International Conference on Information Theory and Information Security, ICITIS 2010 (pp. 294-300). Article 5689463 (Proceedings 2010 IEEE International Conference on Information Theory and Information Security, ICITIS 2010). https://doi.org/10.1109/ICITIS.2010.5689463

Chu, Weibo ; Guan, Xiaohong ; Cai, Zhongmin et al. / A time window based analytical approach for splitting high-speed network traffic. Proceedings 2010 IEEE International Conference on Information Theory and Information Security, ICITIS 2010. 2010. pp. 294-300 (Proceedings 2010 IEEE International Conference on Information Theory and Information Security, ICITIS 2010).

@inproceedings{993aa201b4084c2a8baecf163864d460,

title = "A time window based analytical approach for splitting high-speed network traffic",

abstract = "Traffic splitting plays a very important role in parallel traffic replay since it determines the amount of required PCs and guarantees replay quality for each generated sub-trace. Previously adopted simulation-based method for splitting high-speed network traffic introduces serious performance limitation as it distributes traffic load to the replay PCs in an iterative trial-and-error manner. In this paper we present a time window based analytical approach for splitting high-speed network traffic. In comparison with the existing flow-based simulation methods, our approach has the following two advantages: 1) the number of replay PCs and their corresponding sub-traces are automatically obtained by one execution of the algorithm, making the method computationally efficient; 2) the maximum and average packet delay time in each of the generated sub-trace is theoretically guaranteed prior to replay. Two metrics to evaluate the replay discrepancies are also proposed. Experimental results with actual high-speed traces show that the method outperforms the current flow-based simulation methods in splitting the traffic and the quality of the generated sub-traces are strictly ensured.",

keywords = "Parallel traffic replay, Replay quality, Simulation-based method, Time window based approach, Traffic splitting",

author = "Weibo Chu and Xiaohong Guan and Zhongmin Cai and Mingxu Chen",

year = "2010",

doi = "10.1109/ICITIS.2010.5689463",

language = "英语",

isbn = "9781424469406",

series = "Proceedings 2010 IEEE International Conference on Information Theory and Information Security, ICITIS 2010",

pages = "294--300",

booktitle = "Proceedings 2010 IEEE International Conference on Information Theory and Information Security, ICITIS 2010",

note = "2010 IEEE International Conference on Information Theory and Information Security, ICITIS 2010 ; Conference date: 17-12-2010 Through 19-12-2010",

}

Chu, W, Guan, X, Cai, Z & Chen, M 2010, A time window based analytical approach for splitting high-speed network traffic. in Proceedings 2010 IEEE International Conference on Information Theory and Information Security, ICITIS 2010., 5689463, Proceedings 2010 IEEE International Conference on Information Theory and Information Security, ICITIS 2010, pp. 294-300, 2010 IEEE International Conference on Information Theory and Information Security, ICITIS 2010, Beijing, China, 17/12/10. https://doi.org/10.1109/ICITIS.2010.5689463

A time window based analytical approach for splitting high-speed network traffic. / Chu, Weibo; Guan, Xiaohong; Cai, Zhongmin et al.
Proceedings 2010 IEEE International Conference on Information Theory and Information Security, ICITIS 2010. 2010. p. 294-300 5689463 (Proceedings 2010 IEEE International Conference on Information Theory and Information Security, ICITIS 2010).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A time window based analytical approach for splitting high-speed network traffic

AU - Chu, Weibo

AU - Guan, Xiaohong

AU - Cai, Zhongmin

AU - Chen, Mingxu

PY - 2010

Y1 - 2010

N2 - Traffic splitting plays a very important role in parallel traffic replay since it determines the amount of required PCs and guarantees replay quality for each generated sub-trace. Previously adopted simulation-based method for splitting high-speed network traffic introduces serious performance limitation as it distributes traffic load to the replay PCs in an iterative trial-and-error manner. In this paper we present a time window based analytical approach for splitting high-speed network traffic. In comparison with the existing flow-based simulation methods, our approach has the following two advantages: 1) the number of replay PCs and their corresponding sub-traces are automatically obtained by one execution of the algorithm, making the method computationally efficient; 2) the maximum and average packet delay time in each of the generated sub-trace is theoretically guaranteed prior to replay. Two metrics to evaluate the replay discrepancies are also proposed. Experimental results with actual high-speed traces show that the method outperforms the current flow-based simulation methods in splitting the traffic and the quality of the generated sub-traces are strictly ensured.

AB - Traffic splitting plays a very important role in parallel traffic replay since it determines the amount of required PCs and guarantees replay quality for each generated sub-trace. Previously adopted simulation-based method for splitting high-speed network traffic introduces serious performance limitation as it distributes traffic load to the replay PCs in an iterative trial-and-error manner. In this paper we present a time window based analytical approach for splitting high-speed network traffic. In comparison with the existing flow-based simulation methods, our approach has the following two advantages: 1) the number of replay PCs and their corresponding sub-traces are automatically obtained by one execution of the algorithm, making the method computationally efficient; 2) the maximum and average packet delay time in each of the generated sub-trace is theoretically guaranteed prior to replay. Two metrics to evaluate the replay discrepancies are also proposed. Experimental results with actual high-speed traces show that the method outperforms the current flow-based simulation methods in splitting the traffic and the quality of the generated sub-traces are strictly ensured.

KW - Parallel traffic replay

KW - Replay quality

KW - Simulation-based method

KW - Time window based approach

KW - Traffic splitting

UR - https://www.scopus.com/pages/publications/79951589355

U2 - 10.1109/ICITIS.2010.5689463

DO - 10.1109/ICITIS.2010.5689463

M3 - 会议稿件

AN - SCOPUS:79951589355

SN - 9781424469406

T3 - Proceedings 2010 IEEE International Conference on Information Theory and Information Security, ICITIS 2010

SP - 294

EP - 300

BT - Proceedings 2010 IEEE International Conference on Information Theory and Information Security, ICITIS 2010

T2 - 2010 IEEE International Conference on Information Theory and Information Security, ICITIS 2010

Y2 - 17 December 2010 through 19 December 2010

ER -

Chu W, Guan X, Cai Z, Chen M. A time window based analytical approach for splitting high-speed network traffic. In Proceedings 2010 IEEE International Conference on Information Theory and Information Security, ICITIS 2010. 2010. p. 294-300. 5689463. (Proceedings 2010 IEEE International Conference on Information Theory and Information Security, ICITIS 2010). doi: 10.1109/ICITIS.2010.5689463

A time window based analytical approach for splitting high-speed network traffic

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this