Resource Allocation Algorithm Modeling in Queuing System Based on Quantization

Abstract

The work relevance is determined by the urgent need to design and study queuing systems (QS). The selection and justification of resource management laws - the standby and service disciplines are very important here. The main aim of the study is to develop a QS simulation model with non-priority cyclic service RR (round robin) discipline, to compare the performance of the system under different control algorithm resources: RR and FCFS (first come-first served). To develop a simulation model the system of dynamic and event-driven modeling Matlab + Simulink and SimEvents libraries were used. 5 parallel processes were consistently allocated in RR time quantum algorithm. To imitate FCFS algorithm the round-robin size was set equal to 1. The testing of the developed QS model confirmed a correctness of its work. By varying the flow in the short and long (performance time) processes, it was shown that an advantage of RR algorithm over FCFS is observed, if a share of long processes is not more than 20 - 30%.