Title :
Improving Confidence in Network Simulations
Author :
Weigle, Michele C.
Author_Institution :
Dept. of Comput. Sci., Old Dominion Univ., Norfolk, VA
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;
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
DOI :
10.1109/WSC.2006.323020
