Fundamentals of object-oriented simulation
Proceedings of the 30th conference on Winter simulation
Introduction to Simulation Using SIMAN
Introduction to Simulation Using SIMAN
The Practical Performance Analyst
The Practical Performance Analyst
Capacity Planning for Web Services: metrics, models, and methods
Capacity Planning for Web Services: metrics, models, and methods
Approximation in Non-Product Form Multiple Queue Systems
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Simulation with Arena
Analyzing Computer System Performance with Perl: PDQ
Analyzing Computer System Performance with Perl: PDQ
| Hi-index | 0.00 |
There have been numerous analytic computer system performance models based on the operational-law, arrival, and queuing theories. In today's speedcentric IT business environment, their simplicity is useful in ensuring the agile performance and capacity prediction of the computer system for the IT business. The analytic model is supplemented by simulation models, however, because it oversimplifies the system and also poorly represents the dynamic nature of the actual system. A simple and agile computer performance simulation model, which can support fast decision making, is more desirable than an accurate yet slow model. In this paper, an analytic model suggested by Menasce is examined based on the measurement data obtained from a Web server, and its simulation model is suggested, using ARENA, to verify that it allows simple and agile performance analysis and prediction.