Abstract
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
Original language | English |
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Pages (from-to) | 15-26 |
Journal | Applied Mathematics & Information Sciences |
Volume | 8 |
Issue number | 1L |
DOIs | |
Publication status | Published - 2014 |
Subject classification (UKÄ)
- Electrical Engineering, Electronic Engineering, Information Engineering
Free keywords
- Infinite source Poisson
- long-range dependence
- packet data traffic
- Palm distribution
- self-similarity
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ELLIIT LU P01: WP2 Networking solutions
Landfeldt, B. (PI), Fitzgerald, E. (Researcher), Moradi, F. (Researcher), Karaca, M. (Researcher), Bastani, S. (Researcher), Safavi, M. (Researcher), Pioro, M. (Researcher) & Nyberg, C. (Researcher)
Project: Research