id: 05727924
dt: a
an: 05727924
au: Li, Heng-Chao; Hong, Wen; Wu, Yi-Rong; Xu, Si-Jie
ti: Research of chaos theory and local support vector machine in effective
    prediction of VBR MPEG video traffic.
so: Huang, De-Shuang (ed.) et al., Intelligent computing. International
    conference on intelligent computing, ICIC 2006, Kunming, China, August
    16‒19, 2006. Proceedings, Part I. Berlin: Springer (ISBN
    978-3-540-37271-4/pbk). Lecture Notes in Computer Science 4113,
    1229-1234 (2006).
py: 2006
pu: Berlin: Springer
la: EN
cc: 
ut: 
ci: 
li: doi:10.1007/11816157_154
ab: Summary: The highly bursty and time-variant characteristics of VBR MPEG
    video traffic make it more difficult to manage network resources, and
    lead to the significant reduction of network utilization. Dynamic
    bandwidth allocation scheme based on real-time prediction algorithms
    has been used to guarantee the Quality of Service (QoS). In this paper,
    chaos theory and local support vector machine in effective prediction
    of VBR MPEG video traffic is investigated. Experimental results show
    that our proposed scheme can effectively capture the dynamics and
    complexity of VBR MPEG video traffic.
rv: