A Performance Evaluation of Queueing Systems by Machine Learning
Suguru Nii, Takashi Okudal, Takuya Wakita · 2020
This paper presents a performance evaluation of queueing systems by machine learning. The number of devices connected to the internet is going up in the Internet of Things (IoT) era. Hence, it is useful for designing telecommunication systems to evaluate a performance of general queuing systems which distributions of inter-arrival time and processing time are general. However, the exact solutions of general queueing systems have not been developed. Alternatively, we can apply the discrete simulation to evaluate the performance. However, it takes much time. In this paper, we propose the performance evaluation method by machine learning to solve the problems.