DocumentCode :
1884655
Title :
Quality of service metrics using generalized Pareto distribution
Author :
Dahab, Abdelmahamoud Youssouf ; Said, Abas Md ; Hasbullah, Halabi Bin
Author_Institution :
Comput. & Inf. Sci. Dept., Univ. Teknol. PETRONAS, Tronoh, Malaysia
Volume :
2
fYear :
2010
fDate :
15-17 June 2010
Firstpage :
822
Lastpage :
825
Abstract :
Computer networks are becoming an important aspect of our life. More users are competing for limited resources; degradation in the quality of service is thus unavoidable. Proper modeling of bursts and serious deterioration is important. We model network traffic bursts using generalized Pareto distribution. This method is based on the extreme value theory. We simulated external and collected internal network traffic traces. We found that GPD models these two types of traffic correctly and with clear differences between them. New measures and metrics can be defined out of the GPD modeling to be included in the service level agreement between provider and users. This will have the impact of enhancing in the expected quality of service, especially for mission critical applications.
Keywords :
Pareto distribution; quality of service; software metrics; computer networks; extreme value theory; generalized Pareto distribution; internal network traffic traces; quality of service metrics; service level agreement; Analytical models; Computational modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology (ITSim), 2010 International Symposium in
Conference_Location :
Kuala Lumpur
ISSN :
2155-897
Print_ISBN :
978-1-4244-6715-0
Type :
conf
DOI :
10.1109/ITSIM.2010.5561554
Filename :
5561554
Link To Document :
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