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Interarrival Distribution of a Long-Range Dependent Workload Process

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Author

Summary, in English

We derive the interarrival distribution of a workload input process which is a variation of the infinite source Poisson process for packet traffic. It accounts for long-range dependence and self-similarity exhibited by real traces in the Internet. The packet generation process is compound Poisson over each session which has a heavy tailed distribution. Considering the dependence induced by the workload, we derive the conditional distribution of the next interarrival time given that a packet has just arrived. This allows the use of the workload as general arrivals to a queueing system for further performance analysis

Publishing year

2014

Language

English

Pages

15-26

Publication/Series

Applied Mathematics & Information Sciences

Volume

8

Issue

1L

Document type

Journal article

Publisher

Natural Sciences Publishing Corporation

Topic

  • Electrical Engineering, Electronic Engineering, Information Engineering

Keywords

  • Infinite source Poisson
  • long-range dependence
  • packet data traffic
  • Palm distribution
  • self-similarity

Status

Published

Project

  • ELLIIT LU P01: WP2 Networking solutions

Research group

  • Networking

ISBN/ISSN/Other

  • ISSN: 1935-0090