Optimizing CMT performance by joint predictions of 
bandwidth and RTT

doi:10.1016/S1005-8885(15)60671-9

中国邮电高校学报(英文) ›› 2015, Vol. 22 ›› Issue (4): 81-91.doi: 10.1016/S1005-8885(15)60671-9

Optimizing CMT performance by joint predictions of bandwidth and RTT

Li Wen, Wang Wenbo, Jing Xiaojun, Liu Wen

1. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China 2. Institute of China Electronics System Engineering Company, Beijing 100000, China 3. Key Laboratory of Universal Wireless Communication, Beijing University of Posts and Telecommunications, Beijing 100876, China 4. The Archives of the Ministry of Information Technology, Beijing 100000, China

收稿日期:2014-11-13 修回日期:2015-04-01 出版日期:2015-08-28 发布日期:2015-08-28
通讯作者: Wen LI E-mail:13811226834@139.com
基金资助:
the National Natural Science Foundation of China (61179006), the Natural Science Foundation of Jiangsu Province, China (BK20141068).

Optimizing CMT performance by joint predictions of Optimizing CMT performance by joint predictions of bandwidth and RTT

Li Wen, Wang Wenbo, Jing Xiaojun, Liu Wen

1. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China 2. Institute of China Electronics System Engineering Company, Beijing 100000, China 3. Key Laboratory of Universal Wireless Communication, Beijing University of Posts and Telecommunications, Beijing 100876, China 4. The Archives of the Ministry of Information Technology, Beijing 100000, China

Received:2014-11-13 Revised:2015-04-01 Online:2015-08-28 Published:2015-08-28
Contact: Wen LI E-mail:13811226834@139.com
Supported by:
the National Natural Science Foundation of China (61179006), the Natural Science Foundation of Jiangsu Province, China (BK20141068).

摘要/Abstract

摘要： CMT uses the stream control transmission protocol’s (SCTPs) multihoming feature to distribute data across multiple end-to-end paths in a multihomed SCTP association. As the disparity of multipaths, it is facing a great challenge to solve the disorder of the received data packets. To lighten the reordering degree and then to improve the throughput performance, we need to estimate the real-time paths’ bandwidth and round trip time (RTT) as exactly as possible. In this paper, we use the extended vector (ext-vec) Kalman filter (KF) to predict the available bandwidth and RTT of each path simultaneously. Based on this, we propose a predictive path selection algorithm for CMT in SCTP. To simulate and compare the algorithms’ performance, two kinds of scenarios, bandwidth sensitive scenario and time and bandwidth sensitive scenario, are built and NS-2 is used. The simulation results show that the path selection algorithm can lessen the data packets disordering by correctly predicting each path’s bandwidth and RTT in real time. Comparing the existing algorithms, the algorithm can converge more quickly and can improve the system total throughput in a certain extent in bandwidth sensitive scenario. To time and bandwidth sensitive scenario, it can greatly improve the convergence speed and total throughput.

关键词: CMT, SCTP, extended vector Kalman filter, RTT, throughput

Abstract: CMT uses the stream control transmission protocol’s (SCTPs) multihoming feature to distribute data across multiple end-to-end paths in a multihomed SCTP association. As the disparity of multipaths, it is facing a great challenge to solve the disorder of the received data packets. To lighten the reordering degree and then to improve the throughput performance, we need to estimate the real-time paths’ bandwidth and round trip time (RTT) as exactly as possible. In this paper, we use the extended vector (ext-vec) Kalman filter (KF) to predict the available bandwidth and RTT of each path simultaneously. Based on this, we propose a predictive path selection algorithm for CMT in SCTP. To simulate and compare the algorithms’ performance, two kinds of scenarios, bandwidth sensitive scenario and time and bandwidth sensitive scenario, are built and NS-2 is used. The simulation results show that the path selection algorithm can lessen the data packets disordering by correctly predicting each path’s bandwidth and RTT in real time. Comparing the existing algorithms, the algorithm can converge more quickly and can improve the system total throughput in a certain extent in bandwidth sensitive scenario. To time and bandwidth sensitive scenario, it can greatly improve the convergence speed and total throughput.

Key words: CMT, SCTP, extended vector Kalman filter, RTT, throughput

Li Wen, Wang Wenbo, Jing Xiaojun, Liu Wen. Optimizing CMT performance by joint predictions of Optimizing CMT performance by joint predictions of bandwidth and RTT [J]. Acta Metallurgica Sinica(English letters), 2015, 22(4): 81-91.

参考文献

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Optimizing CMT performance by joint predictions of bandwidth and RTT

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