Performance Evaluation Algorithm for GI/G/m Queues
32th International Teletraffic Congress (ITC 32), Ph.D. Workshop, Osaka, Japan, (2020)Аннотация
In this study, we propose an algorithm to evaluate the performance of a GI/G/m queuing network model using a general continuous probability distribution. Queueing models have traditionally been used for quantitative evaluation of packet and phone line congestion is reasonable to use predictions and evaluations using simulation models with stochastic processes. We propose a hybrid algorithm that uses Monte Carlo simulation to generate statistical data with continuous probability distribution. The data is analyzed based on the selected evaluation metric and the length of the queue using simulation and approximate solution methods. The algorithm is suited for environments that require fast verification.