Quality of Coverage Analysis on Distributed Stochastic Steady-State Simulations


The KIPS Transactions:PartA, Vol. 9, No. 4, pp. 519-524, Dec. 2002
10.3745/KIPSTA.2002.9.4.519,   PDF Download:

Abstract

In this paper we study the quality of sequential coverage analysis under a scenario of distributed stochastic simulation known as MRIP (Multiple Replications In Parallel) in terms of the confidence intervals of coverage and the speedup. The estimator based on the F-distribution was applied to the sequential coverage analysis of steady-state means, in simulations of the M/M/1/∞, M/D/1/∞, and M/H2/1/∞E queueing systems on a single processor and multiple processors. By using multiple processors under the MRIP scenario, the time for collecting many replications needed in sequential coverage analysis is reduced. One can also easily collect more replications by executing it in distributed computers or clusters linked by a local area network.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from September 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article
[IEEE Style]
J. S. R. Lee, H. W. Park, H. D. J. Jeong, "Quality of Coverage Analysis on Distributed Stochastic Steady-State Simulations," The KIPS Transactions:PartA, vol. 9, no. 4, pp. 519-524, 2002. DOI: 10.3745/KIPSTA.2002.9.4.519.

[ACM Style]
Jong Suk R. Lee, Hyoung Woo Park, and Hae Duck J. Jeong. 2002. Quality of Coverage Analysis on Distributed Stochastic Steady-State Simulations. The KIPS Transactions:PartA, 9, 4, (2002), 519-524. DOI: 10.3745/KIPSTA.2002.9.4.519.