A Computational Approach for Evaluating Steady-State Probabilities of a Multiprocessor Queueing System with a Waiting Time Restriction
Vladimir Sahakyan, Artur Vardanyan · 2023
Distributed and parallel high-speed computing systems have become increasingly important in recent years for handling large amounts of data and performing complex scientific research using multi-agent intelligent methods.Accurate modeling tasks in science and technology require fast and large-scale computations.However, organizing computations in a cluster environment to optimally utilize system resources is a challenge that requires effective scheduling of task execution, which takes into account the required resources and execution time.In this context, this paper proposes a computational approach for evaluating steady-state probabilities in the environment of a multiprocessor queueing system.The proposed approach contributes to a practical partial solution to the challenges of organizing computations in a cluster environment and can be applied of the organizing process in modeling tasks that require fast and large-scale computations for accurate results to the optimal utilization of resources.Overall, the paper contributes to the growing field of distributed and parallel computing by providing a practical approach to evaluating steady-state probabilities in a multiprocessor queueing system.