DocumentCode
1809397
Title
Improving Confidence in Network Simulations
Author
Weigle, Michele C.
Author_Institution
Dept. of Comput. Sci., Old Dominion Univ., Norfolk, VA
fYear
2006
fDate
3-6 Dec. 2006
Firstpage
2188
Lastpage
2194
Abstract
Simulation has become the tool of choice for an increasing number of networking researchers. Unfortunately, standard statistical techniques often cannot be applied when Internet-like heavy-tailed workloads are used as input. We present issues involved in using heavy-tailed distributions in network simulations, including three different methods for dealing with such distributions in simulation. We also discuss the proper use of the random number generator implemented in the ns-2 simulator and the impacts of improper usage
Keywords
random number generation; statistical distributions; telecommunication networks; telecommunication traffic; heavy-tailed distributions; network simulations; ns-2 simulator; random number generator; standard statistical techniques; Analytical models; Computational modeling; Data analysis; Internet; Probability distribution; Random number generation; Random variables; Steady-state; Traffic control; Web server;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference, 2006. WSC 06. Proceedings of the Winter
Conference_Location
Monterey, CA
Print_ISBN
1-4244-0500-9
Electronic_ISBN
1-4244-0501-7
Type
conf
DOI
10.1109/WSC.2006.323020
Filename
4117868
Link To Document