A Long Range Dependent Internet Traffic Model Using Unbounded Johnson Distribution

Title
A Long Range Dependent Internet Traffic Model Using Unbounded Johnson Distribution
Author(s)
남승엽김성곤[김성곤]
Issue Date
201301
Publisher
IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
Citation
IEICE TRANSACTIONS ON COMMUNICATIONS, v.E96B, no.1, pp.301 - 304
Abstract
It is important to characterize the distributional property and the long-range dependency of traffic arrival processes in modeling Internet traffic. To address this problem, we propose a long-range dependent traffic model using the unbounded Johnson distribution. Using the proposed model, a sequence of traffic rates with the desired four quantiles and Hurst parameter can be generated. Numerical studies show how well the sequence of traffic rates generated by the proposed model mimics that of the real traffic rates using a publicly available Internet traffic trace.
URI
http://hdl.handle.net/YU.REPOSITORY/26810http://dx.doi.org/10.1587/transcom.E96.B.301
ISSN
0916-8516
Appears in Collections:
공과대학 > 모바일정보통신공학과 > Articles
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