Queuing Theory in Modern Technology, Areas Covered, and Challenges

Abstract

In the context of accelerated scientific and technological advancement, allocating resources and optimizing services have emerged as significant challenges for numerous industries. This paper aims to examine the potential applications of queuing theory in the context of modern technology. The paper commences with a summary of the fundamental concepts and definitions of queuing theory. Subsequently, the paper illustrates the implementation of queuing theory in a multitude of practical domains and its pivotal function in optimizing the distribution of resources and enhancing efficiency through the examination of illustrative examples. It has been demonstrated that queuing theory significantly improves system performance and resource utilization. However, it also presents a number of challenges, including those associated with modelling optimization, uncertainties and dynamic data. Integrating queuing theory with artificial intelligence and machine learning will facilitate its expanded role in multidisciplinary operations and real-time data processing, thereby providing crucial support for advancing modern science and technology. The research in this paper can provide appreciation for researchers in related fields to better understand or apply queuing theory.