Resource Allocation Algorithm Modeling in Queuing System Based on Quantization / A. V. Raspopov, Yu. Ya. Katsman
Уровень набора: (RuTPU)RU\TPU\network\11477, Key Engineering Materials, Scientific JournalЯзык: английский.Серия: Information Technology, Data and Signal ProcessingРезюме или реферат: 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%..Аудитория: .Тематика: электронный ресурс | труды учёных ТПУ | квантование | обслуживание | алгоритмы | моделирование | очереди | системы Ресурсы он-лайн:Щелкните здесь для доступа в онлайнTitle screen
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%.
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