scholarly journals A Longitudinal Study of Small-Time Scaling Behavior of Internet Traffic

2010 ◽  
pp. 83-95 ◽  
Author(s):  
Himanshu Gupta ◽  
Vinay J. Ribeiro ◽  
Anirban Mahanti
Keyword(s):  
Longitudinal Study ◽  
Internet Traffic ◽  
Small Time ◽  
Scaling Behavior ◽  
Time Scaling

scholarly journals Small-time scaling behavior of Internet backbone traffic

2005 ◽  
Vol 48 (3) ◽  
pp. 315-334 ◽  
Author(s):  
Vinay J. Ribeiro ◽  
Zhi-Li Zhang ◽  
Sue Moon ◽  
Christophe Diot
Keyword(s):  
Small Time ◽  
Scaling Behavior ◽  
Internet Backbone ◽  
Time Scaling

scholarly journals mBm-Based Scalings of Traffic Propagated in Internet

2011 ◽  
Vol 2011 ◽  
pp. 1-21 ◽  
Author(s):  
Ming Li ◽  
Wei Zhao ◽  
Shengyong Chen
Keyword(s):  
Large Time ◽  
Observation Interval ◽  
Small Time ◽  
The Other ◽  
The Internet ◽  
Network Systems ◽  
Local Scaling ◽  
Computer Communications ◽  
Time Scaling ◽  
Computer Scientists

Scaling phenomena of the Internet traffic gain people's interests, ranging from computer scientists to statisticians. There are two types of scales. One is small-time scaling and the other large-time one. Tools to separately describe them are desired in computer communications, such as performance analysis of network systems. Conventional tools, such as the standard fractional Brownian motion (fBm), or its increment process, or the standard multifractional fBm (mBm) indexed by the local Hölder functionH(t)may not be enough for this purpose. In this paper, we propose to describe the local scaling of traffic by usingD(t)on a point-by-point basis and to measure the large-time scaling of traffic by using E[H(t)]on an interval-by-interval basis, where E implies the expectation operator. Since E[H(t)]is a constant within an observation interval whileD(t)is random in general, they are uncorrelated with each other. Thus, our proposed method can be used to separately characterize the small-time scaling phenomenon and the large one of traffic, providing a new tool to investigate the scaling phenomena of traffic.

scholarly journals Short-time scaling behavior of growing interfaces

1997 ◽  
Vol 55 (1) ◽  
pp. 668-679 ◽  
Author(s):  
Michael Krech
Keyword(s):  
Scaling Behavior ◽  
Time Scaling ◽  
Short Time
Sign in / Sign up

Export Citation Format

Share Document