DocumentCode :
1423486
Title :
Extreme value engineering for local network traffic
Author :
Ratz, H.C.
Author_Institution :
Dept. of Electr. Eng., Waterloo Univ., Ont., Canada
Volume :
36
Issue :
12
fYear :
1988
fDate :
12/1/1988 12:00:00 AM
Firstpage :
1302
Lastpage :
1308
Abstract :
Small switching offices and office information systems share some common properties in the description of load peaks. In both cases, because of the smaller user population, the structure of the underlying random process becomes important, and while the methods of extreme value engineering are applicable, the usual asymptotic distributions are not. The family of gamma distributions is proposed as a flexible process model (which does not imply negative load values), and it is used to model data in the literature on the traffic in small switching offices. New data from trials of office information systems yield extreme values of loads which support this proposal. The gamma model supports an extreme value engineering procedure for the design of peak monitoring methods, the calculation of return period loads, and the calculation of probability curves for extremes
Keywords :
probability; telecommunication networks; telecommunication traffic; extreme value engineering; flexible process model; gamma distributions; local network traffic; office information systems; peak monitoring methods; probability curves; return period loads; small switching offices; Central Processing Unit; Costs; Information systems; Monitoring; Office automation; Proposals; Random processes; Telecommunication traffic; Telephony; Traffic control;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/26.8943
Filename :
8943
Link To Document :
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