Estimating Method of Short-Interval-Traffic Distribution Considering Long-Term-Traffic Dynamics for Multimedia QoS Management

Tadayoshi FUKAMI  Hiroki NISHIKAWA  Takuya ASAKA  Tatsuro TAKAHASHI  Noriteru SHINAGAWA  

Publication
IEICE TRANSACTIONS on Communications   Vol.E89-B   No.4   pp.1110-1118
Publication Date: 2006/04/01
Online ISSN: 1745-1345
DOI: 10.1093/ietcom/e89-b.4.1110
Print ISSN: 0916-8516
Type of Manuscript: Special Section PAPER (Special Section on Internet Technology VI)
Category: 
Keyword: 
network traffic,  passive measurement,  traffic dynamics,  

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Summary: 
Analyzing short-interval-traffic behaviors is important for network performance management to realize high quality multimedia applications. However, it is difficult to measure short-interval-traffic volumes because there are complications in collecting short-interval-traffic data from routers. An example is a heavy load on routers or inaccurate measurement by the short-polling interval; it even demands expensive measurement tools. To resolve these disadvantages, an estimating method of short-interval-traffic distribution (EMSIT) has been proposed. This method estimates short-interval-traffic distributions using MIB (Management Information Base) data, which collects traffic volumes in cycles of several minutes. In this paper, we propose a new estimation method (EMSIT-LD) based on EMSIT, which applies to the case of long-term-traffic dynamics. We evaluate it using computer simulations and actual traffic data.