Timeout Strategy of Sampled Flow in High-Speed Networks

被引:0
|
作者
Ye, Hong [1 ]
Liu, Shanshan [1 ]
Liu, Weijiang [1 ]
Li, Shuyun [1 ]
机构
[1] Dalian Maritime Univ, Sch Informat Sci & Technol, Dalian, Peoples R China
关键词
Network measurement; Packet sampling; Flow timeout; Flow joining; Flow splitting;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
dTimeout is one of the most important features of flow recognition, which determines the maximum time interval between adjacent packets. Sampling technology has now been widely used in measurement systems to control the problem of processing overhead and memory consumption. When packet sampling is used, the timeout of original flow is not suitable for the sampled flow. The inappropriate timeout can lead to flow joining or flow splitting, and it may reduce the accuracy of measurement systems. In this paper, we propose a timeout strategy of sampled flow, which can produce an optimal timeout of sampled flow according to the original flow timeout and packet sampling rate. A reasonable timeout of sampled flow can reduce the probabilities of flow joining or flow splitting. The theoretical analysis shows that the number of flow joining and flow splitting can achieve a tradeoff when we adopt the timeout of sampled flow. And the experimental result also demonstrates that original flow length distribution can be obtained accurately by using the timeout of sampled flow.
引用
收藏
页码:2061 / 2065
页数:5
相关论文
共 50 条
  • [21] Performance of feedback flow control mechanisms in large high-speed networks
    Roche, C
    [J]. IEEE GLOBECOM 1996 - CONFERENCE RECORD, VOLS 1-3: COMMUNICATIONS: THE KEY TO GLOBAL PROSPERITY, 1996, : 1085 - 1089
  • [22] A framework of flow control in high-speed ATM wide area networks
    Zhou, PF
    Yang, OWW
    [J]. IEEE MILITARY COMMUNICATIONS CONFERENCE - PROCEEDINGS, VOLS 1-3, 1998, : 782 - 786
  • [23] Stability of autonomous decentralized flow control schemes in high-speed networks
    Aida, M
    Takano, C
    [J]. 22ND INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS WORKSHOP, PROCEEDINGS, 2002, : 63 - 68
  • [24] Fuzzy Q-Learning Flow Control for High-Speed Networks
    Li, Xin
    Zhao, Xin
    Jing, Yuanwei
    Zhang, Nannan
    [J]. 2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11, 2008, : 383 - +
  • [25] Stability and adaptability of autohomous decentralized flow control in high-speed networks
    Takano, C
    Aida, M
    [J]. IEICE TRANSACTIONS ON COMMUNICATIONS, 2003, E86B (10) : 2882 - 2890
  • [26] Autonomous decentralized flow control in high-speed networks with inhomogeneous configurations
    Takano, C
    Aida, M
    Kuribayashi, S
    [J]. IEICE TRANSACTIONS ON COMMUNICATIONS, 2004, E87B (06) : 1551 - 1560
  • [27] Stability and adaptability of autonomous decentralized flow control in high-speed networks
    Takano, C
    Aida, M
    [J]. ISADS 2003: SIXTH INTERNATIONAL SYMPOSIUM ON AUTONOMOUS DECENTRALIZED SYSTEMS, PROCEEDINGS, 2003, : 311 - 318
  • [28] Decentralized adaptive flow control of high-speed connectionless data networks
    Vázquez-Abad, FJ
    Mason, LG
    [J]. OPERATIONS RESEARCH, 1999, 47 (06) : 928 - 942
  • [29] ACCURATE AND FLEXIBLE FLOW-BASED MONITORING FOR HIGH-SPEED NETWORKS
    Forconesi, Marco
    Sutter, Gustavo
    Lopez-Buedo, Sergio
    Aracil, Javier
    [J]. 2013 23RD INTERNATIONAL CONFERENCE ON FIELD PROGRAMMABLE LOGIC AND APPLICATIONS (FPL 2013) PROCEEDINGS, 2013,
  • [30] Per-Flow State Management Technique for High-Speed Networks
    Yang, Xin
    Sezer, Sakir
    [J]. 2015 28TH IEEE INTERNATIONAL SYSTEM-ON-CHIP CONFERENCE (SOCC), 2015, : 59 - 63