機械学習を用いた即時型システムGI/G/s/sの性能評価

抄録

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.