A Performance Evaluation of Finite Capacity Queueing Systems by Machine Learning
Suguru Nii, Takashi Okuda, Yutaka Ishibashi · 2019
This paper proposes a performance evaluation method of finite capacity queueing systems (GI/G/s(K) systems). Internet of Things (IoT) data processing systems have to handle massive and many kinds of IoT data. Therefore, it is important for designing IoT data processing systems to evaluate GI/G/s(K) systems. However, in GI/G/s(K) systems, the exact solutions do not exist. The proposed method solves the problem by machine learning.