Application of soft computing techniques to adaptive user buffer overflow control on the Internet

被引:7
|
作者
Lin, Wilfred W. K. [1 ]
Wong, Allan K. Y.
Dillon, Tharam S.
机构
[1] Hong Kong Polytech Univ, Dept Comp, Hong Kong, Hong Kong, Peoples R China
[2] Univ Technol Sydney, Fac Informat Technol, Sydney, NSW 2000, Australia
来源
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS | 2006年 / 36卷 / 03期
关键词
active queue management (AQM); buffer overflow control; dynamic buffer tuning; fuzzy logic controller (FLC); internet; neural network controller (NNC); proportional-integral derivative controller (PIDC); safety margin Delta; {0; Delta}(2) objective function;
D O I
10.1109/TSMCC.2004.843191
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Two novel expert dynamic buffer tuners/controllers, namely, the neural network controller (NNC) and the fuzzy logic controller (FLC) are proposed in this paper. They use soft computing techniques to eliminate buffer overflow at the user/server level. As a result they help shorten the end-to-end service roundtrip time (RTT) of the logical Internet transmission control protocol (TCP) channels. The tuners achieve their goal by maintaining the given safety margin Delta around the reference point of the {0, Delta}(2) objective function. Overflow prevention at the Internet system level, which includes the logical channels and their underlying activities, cannot shorten the service RTT alone. In reality, unpredictable incoming request rates and/or traffic patterns could still cause user-level overflow. The client/server interaction over a logical channel is usually an asymmetric rendezvous, with one server serving many clients. A sudden influx of simultaneous requests from these clients easily inundates the server's buffer, causing overflow. If this occurs only after the system has employed expensive throttling and overflow management resources, the delayed overflow rectification could lead to serious consequences. Therefore, it makes sense to deploy an independent user-level overflow control mechanism to complement the preventative effort by the system. Together they form a unified solution to effectively stifle channel buffer overflow.
引用
收藏
页码:397 / 410
页数:14
相关论文
共 50 条
  • [31] Application of Soft Computing Techniques for Predicting Thermal Conductivity of Rocks
    Samaei, Masoud
    Massalow, Timur
    Abdolhosseinzadeh, Ali
    Yagiz, Saffet
    Sabri, Mohanad Muayad Sabri
    APPLIED SCIENCES-BASEL, 2022, 12 (18):
  • [32] Soft Computing Techniques and Its Application in the Intelligent Capital Compensation
    Hsiao, Kuo Chang
    Wu, Berlin
    Yao, Kai
    NONLINEAR MATHEMATICS FOR UNCERTAINTY AND ITS APPLICATIONS, 2011, 100 : 567 - +
  • [33] Application of soft computing techniques to multiphase flow measurement: A review
    Yan, Yong
    Wang, Lijuan
    Wan, Tao
    Wang, Xue
    Hu, Yonghui
    Duan, Quansheng
    FLOW MEASUREMENT AND INSTRUMENTATION, 2018, 60 : 30 - 43
  • [34] Application of Soft Computing Techniques to Predict the Strength of Geopolymer Composites
    Wang, Qichen
    Ahmad, Waqas
    Ahmad, Ayaz
    Aslam, Fahid
    Mohamed, Abdullah
    Vatin, Nikolai Ivanovich
    POLYMERS, 2022, 14 (06)
  • [35] A hybrid robot control system based on soft computing techniques
    Schuster, Alfons
    ADVANCES IN APPLIED ARTICIAL INTELLIGENCE, PROCEEDINGS, 2006, 4031 : 187 - 196
  • [36] Electrocardiogram signals-based user authentication systems using soft computing techniques
    Hosseinzadeh, Mehdi
    Vo, Bay
    Ghafour, Marwan Yassin
    Naghipour, Sajjad
    ARTIFICIAL INTELLIGENCE REVIEW, 2021, 54 (01) : 667 - 709
  • [37] Electrocardiogram signals-based user authentication systems using soft computing techniques
    Mehdi Hosseinzadeh
    Bay Vo
    Marwan Yassin Ghafour
    Sajjad Naghipour
    Artificial Intelligence Review, 2021, 54 : 667 - 709
  • [38] Application of soft computing techniques in machine reading of Quranic Kufic manuscripts
    Zafar, Aasim
    Iqbal, Arshad
    JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, 2022, 34 (06) : 3062 - 3069
  • [39] Application of soft computing techniques for shallow foundation reliability in geotechnical engineering
    Ray, Rahul
    Kumar, Deepak
    Samui, Pijush
    Roy, Lal Bahadur
    Goh, A. T. C.
    Zhang, Wengang
    GEOSCIENCE FRONTIERS, 2021, 12 (01) : 375 - 383
  • [40] Application of soft-computing techniques in forecasting sediment load and concentration
    Ghanbarynamin, Sina
    Zaremehrjardy, Majid
    Ahmadi, Mehdi
    HYDROLOGICAL SCIENCES JOURNAL, 2020, 65 (13) : 2309 - 2321