Capacity Planning for Web Services: metrics, models, and methods
Capacity Planning for Web Services: metrics, models, and methods
Proceedings of the 33nd conference on Winter simulation
Predicting the performance of synchronous discrete event simulation systems
Proceedings of the 2001 IEEE/ACM international conference on Computer-aided design
A Model for the Coanalysis of Hardware and Software Architectures
CODES '96 Proceedings of the 4th International Workshop on Hardware/Software Co-Design
Computer capacity planning using queueing network models
PERFORMANCE '80 Proceedings of the 1980 international symposium on Computer performance modelling, measurement and evaluation
Performance by Design: Computer Capacity Planning By Example
Performance by Design: Computer Capacity Planning By Example
Inside discrete-event simulation software: how it works and why it matters
Proceedings of the 38th conference on Winter simulation
Discrete event simulation for batch processing
Proceedings of the 38th conference on Winter simulation
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System capacity planning is a very useful method to predict which hardware will be necessary to run an IT system with high performance. The proposed tool in this paper is developed to ease this hard and important job, automating the analysis of the software in different ways. It uses the discrete-event type simulation based on a queue theory model to represent the hardware and software interaction. The model presented in this paper represents a simplification of any batch IT systems. In this type of system, commonly we have a lot of transactions that need to be processed by the system without human interaction and frequently use the benefits of parallel processing for better performance. We can apply these ideas to represent the workload in the simulation model as simple tasks that enter the system to be processed. Results show that it is possible to use this model to represent the real system with good fidelity.