Shifted gamma distribution model for long-range dependent Internet traffic

It is important to characterize the distributional property and the correlation structure of traffic arrival processes in modeling internet traffic. The conventional fractional Gaussian noise(fGn) model fails in,characterizing the distributional property when the distribution of the input traffic rates is nongaussian. We propose a shifted gamma distribution model which can solve this problem. A linear-time generation algorithm is also given.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2003-03
Language
ENG
Citation

IEEE COMMUNICATIONS LETTERS, v.7, no.3, pp.124 - 126

ISSN
1089-7798
URI
http://hdl.handle.net/10203/1710
Appears in Collection
EE-Journal Papers(저널논문)
Files in This Item
200303_IEEE_CL_S_KIM.pdf(251.28 kB)Download
  • Hit : 517
  • Download : 400
  • Cited 0 times in thomson ci
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡClick to seewebofscience_button
⊙ Cited 19 items in WoSClick to see citing articles inrecords_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0