Interarrival Distribution of a Long-Range Dependent Workload Process
(2014) In Applied Mathematics & Information Sciences 8(1L). p.15-26- 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
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4360998
- author
- Caglar, Mine ; Iftikhar, Mohsin and Landfeldt, Björn LU
- organization
- publishing date
- 2014
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Infinite source Poisson, long-range dependence, packet data traffic, Palm distribution, self-similarity
- in
- Applied Mathematics & Information Sciences
- volume
- 8
- issue
- 1L
- pages
- 15 - 26
- publisher
- Natural Sciences Publishing
- external identifiers
-
- scopus:84896884905
- ISSN
- 1935-0090
- DOI
- 10.12785/amis/081L03
- project
- ELLIIT LU P01: WP2 Networking solutions
- language
- English
- LU publication?
- yes
- id
- 2618eaae-1a2f-41fe-8108-645a19d913b2 (old id 4360998)
- date added to LUP
- 2016-04-04 09:21:05
- date last changed
- 2025-01-06 07:15:31
@article{2618eaae-1a2f-41fe-8108-645a19d913b2, 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}}, author = {{Caglar, Mine and Iftikhar, Mohsin and Landfeldt, Björn}}, issn = {{1935-0090}}, keywords = {{Infinite source Poisson; long-range dependence; packet data traffic; Palm distribution; self-similarity}}, language = {{eng}}, number = {{1L}}, pages = {{15--26}}, publisher = {{Natural Sciences Publishing}}, series = {{Applied Mathematics & Information Sciences}}, title = {{Interarrival Distribution of a Long-Range Dependent Workload Process}}, url = {{http://dx.doi.org/10.12785/amis/081L03}}, doi = {{10.12785/amis/081L03}}, volume = {{8}}, year = {{2014}}, }