A Performance Evaluation of Loss Traffic Systems GI/G/s/s by Using Machine Learning

Abstract

Internet of Things (IoT) data processing systems must handle massive and many kinds of data. Hence, it is important for designing IoT data processing systems to evaluate a performance of GI/G/s/s typed systems. The exact solutions of GI/G/s/s typed systems have not been yet developed. Alternatively, we apply a discrete simulation method to evaluate the systems. However, the method spends much time to evaluate the performance with any conditions. In our previous study, we have evaluated a performance of GI/G/s typed systems with infinite capacity by using machine learning. However, we have not evaluated a performance of loss traffic systems (GI/G/s/s typed systems with finite capacity). In this paper, we evaluate a performance of the systems by using machine learning and validate what kind of training data should we use.