Simulating Large-scale Networks with Analytical Models

The application of DEA and queuing models to large scale computer networks

Enhancing Discrete Event Network Simulators with Analytical Network Cloud Models

Discrete event simulation of computer networks has significant scalability issues, which makes simulating large scale networks problematic. We propose to extend the approach by combining it with analytical models for network clouds, which are much more efficient, if less accurate, than nodeby-node models. Thus, simulation scenarios containing several ISP networks become feasible. We introduce a...

Decentralized Interaction Estimators in Large Scale Power Systems with Neural Networks.

On the Performance Prediction of PRAM Simulating Models

This paper considers a performance prediction for various computer networks in terms of the number of references made to the memory. Analytical solutions were obtained for the models with multiple requests to the memory and parallel access to one memory bank with a Negative Exponential distribution of requests generated by CPUs. Numerical simulation was carried out for Hypercube, Cube Connected...

Evaluation and comparison of performance of SDSM and CLIMGEN models in simulation of climatic variables in Qazvin plain

Climate change is found to be the most important global issue in the 21st century, so to monitor its trend is of great importance. Atmospheric General Circulation Models because of their large scale computational grid are not able to predict climatic parameters on a point scale, so small scale methods should be adapted. Among downscaling methods, statistical methods are used as they are easy to...