A Kalman filtering based method for available bandwidth measurement

被引:0
|
作者
Angrisani, Leopoldo [1 ]
Miele, Gianfranco [2 ]
Lo Monello, Rosario Schiano [1 ]
Vadursi, Michele [3 ]
机构
[1] Univ Naples Federico II, Dept Elect Engn & Informat Technol, Naples, Italy
[2] Univ Cassino & Southern Lazio, Dept Elect & Informat Engn, Cassino, FR, Italy
[3] Univ Naples Parthenope, Dept Engn, Naples, Italy
关键词
Measurements for networking; network monitoring; available bandwidth; active network measurements; Kalman filter;
D O I
暂无
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
The paper addresses the problem of available bandwidth measurement in IP networks, with special attention to situations where the available bandwidth undergoes quick variations and needs be accurately tracked. The proposed solution is based on a Kalman filtering of the interarrival times of probing packet pairs, according to a Probe Gap Model and is therefore less invasive than alternative solutions. The paper presents the general problem and the proposed method, along with some simulations and experiments on a controlled network test bed.
引用
下载
收藏
页码:1215 / 1220
页数:6
相关论文
共 50 条
  • [21] A Blind Source Separation Method Based on Kalman Filtering
    Hu, Zhihui
    Feng, Jiuchao
    2009 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLUMES I & II: COMMUNICATIONS, NETWORKS AND SIGNAL PROCESSING, VOL I/ELECTRONIC DEVICES, CIRUITS AND SYSTEMS, VOL II, 2009, : 473 - 476
  • [22] Kalman Filtering When the Large Bandwidth Control is Not Known
    Pachter, M.
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2012, 48 (01) : 542 - 551
  • [23] Data Fusion Method Based on Adaptive Kalman Filtering
    Sirenden, Bernadus Herdi
    MAKARA JOURNAL OF TECHNOLOGY, 2019, 23 (01): : 39 - 47
  • [24] An extended Kalman filtering algorithm based on circular array measurement
    Zhu, L.
    Binggong Xuebao/Acta Armamentarii, 2001, 22 (04): : 492 - 495
  • [25] A new end-to-end measurement method for estimating available bandwidth
    Liu, M
    Shi, JL
    Li, ZC
    Kan, ZG
    Ma, J
    EIGHTH IEEE INTERNATIONAL SYMPOSIUM ON COMPUTERS AND COMMUNICATION, VOLS I AND II, PROCEEDINGS, 2003, : 1393 - 1400
  • [26] Kalman filtering based traffic information fusion method
    Yang, Zhao-Sheng
    Feng, Jin-Qiao
    Zhang, Lin
    Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 2007, 37 (05): : 1039 - 1042
  • [27] Signal Frequency Estimation Based on Kalman Filtering Method
    Liu, Yandu
    Yan, Di
    Zheng, Haixin
    2016 8TH INTERNATIONAL CONFERENCE ON COMPUTER AND AUTOMATION ENGINEERING (ICCAE 2016), 2016, 56
  • [28] The Measurement Correction of MEMS Gyroscope Based Interlaced Kalman Filtering
    Lu, Junjie
    Zhou, Jun
    Lu, Xiaodong
    Liu, Xiaojun
    ADVANCED MEASUREMENT AND TEST, PTS 1-3, 2011, 301-303 : 1083 - 1088
  • [29] A Measurement-Based Robust Adaptive Kalman Filtering Algorithm
    Chang, Yanhong
    Zhang, Hai
    Zhou, Qifan
    MATERIALS SCIENCE AND INFORMATION TECHNOLOGY, PTS 1-8, 2012, 433-440 : 3773 - 3779
  • [30] An Unscented Kalman Filter Based Available Bandwidth Estimation Algorithm for Space Bundle Links
    Liao, Xiaoli
    Yang, Zhihua
    Yuan, Peng
    2017 9TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP), 2017,