Applications of Discrete Entropic Model to Queueing Theory with Infinite and Finite Space Capacity

Abstract

This is well acknowledged authenticity that a collection of discrete entropic models in the probability spaces are unbelievably accessible in the literature but still there is unavoidability to produce supplementary parametric models to enlarge their application areas in a assortment of disciplines. This paper makes a comprehensive study of an innovative discrete entropic model along with its applications to the discipline of queueing theory with infinite capacity for the deliberations of the learning of variations of uncertainty. Our findings reveal the pattern of behavior of discrete entropy model in the steady and non-steady state queueing process with infinite channel capacity. Additionally, we have well designed the understanding of maximum entropy principle for the development of optimization principle in the discipline of queueing theory with finite channel capacity for the comprehension of distribution under consideration.