Paper Info
Title
A classification of network traffic status for various scale networks
Abstract
Techniques of network status estimation and traffic prediction are required for network control and user applications in the contexts where a variety of traffic data sources are available. Due to the difficulty of estimating applications' network demands and the difficulty of predicting network load, however, the management of network resources has often been ignored. This paper presents a heuristic of network status classification that has been observed in various scale operational networks. The basic idea of the approach is that network traffic repeat cycles of congested states and that a variation of network latency is strongly correlated with the past history of the latency. We directly monitor network load by continually measuring end-to-end network latencies in real operational networks and classify network traffic status with respect to the stability and the burstiness of the latencies. The experimental results showed that the proposed method is capable of evaluating network traffic status and reflecting the related fluctuations.
Year
DOI
Venue
2013
10.1109/ICOIN.2013.6496693
ICOIN
Keywords
DocType
Citations 
network latency,network demand,network status classification,network status estimation,network traffic status,network traffic repeat cycle,network load,network control,end-to-end network latency,network resource,various scale network
Conference
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Jun-Seong Kim117315.32
Jaehwa Park2659.50