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Resource Allocation Algorithm Modeling in Queuing System Based on Quantization
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| Zeitschriftentitel: | Key Engineering Materials |
|---|---|
| Personen und Körperschaften: | , |
| In: | Key Engineering Materials, 685, 2016, S. 886-891 |
| Format: | E-Article |
| Sprache: | Unbestimmt |
| veröffentlicht: |
Trans Tech Publications, Ltd.
|
| Schlagwörter: |
| author_facet |
Raspopov, Alexander Katsman, Yu.Ya. Raspopov, Alexander Katsman, Yu.Ya. |
|---|---|
| author |
Raspopov, Alexander Katsman, Yu.Ya. |
| spellingShingle |
Raspopov, Alexander Katsman, Yu.Ya. Key Engineering Materials Resource Allocation Algorithm Modeling in Queuing System Based on Quantization Mechanical Engineering Mechanics of Materials General Materials Science |
| author_sort |
raspopov, alexander |
| spelling |
Raspopov, Alexander Katsman, Yu.Ya. 1662-9795 Trans Tech Publications, Ltd. Mechanical Engineering Mechanics of Materials General Materials Science http://dx.doi.org/10.4028/www.scientific.net/kem.685.886 <jats:p>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%.</jats:p> Resource Allocation Algorithm Modeling in Queuing System Based on Quantization Key Engineering Materials |
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| title |
Resource Allocation Algorithm Modeling in Queuing System Based on Quantization |
| title_unstemmed |
Resource Allocation Algorithm Modeling in Queuing System Based on Quantization |
| title_full |
Resource Allocation Algorithm Modeling in Queuing System Based on Quantization |
| title_fullStr |
Resource Allocation Algorithm Modeling in Queuing System Based on Quantization |
| title_full_unstemmed |
Resource Allocation Algorithm Modeling in Queuing System Based on Quantization |
| title_short |
Resource Allocation Algorithm Modeling in Queuing System Based on Quantization |
| title_sort |
resource allocation algorithm modeling in queuing system based on quantization |
| topic |
Mechanical Engineering Mechanics of Materials General Materials Science |
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http://dx.doi.org/10.4028/www.scientific.net/kem.685.886 |
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2016 |
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886-891 |
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<jats:p>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%.</jats:p> |
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| author | Raspopov, Alexander, Katsman, Yu.Ya. |
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| description | <jats:p>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%.</jats:p> |
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| spelling | Raspopov, Alexander Katsman, Yu.Ya. 1662-9795 Trans Tech Publications, Ltd. Mechanical Engineering Mechanics of Materials General Materials Science http://dx.doi.org/10.4028/www.scientific.net/kem.685.886 <jats:p>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%.</jats:p> Resource Allocation Algorithm Modeling in Queuing System Based on Quantization Key Engineering Materials |
| spellingShingle | Raspopov, Alexander, Katsman, Yu.Ya., Key Engineering Materials, Resource Allocation Algorithm Modeling in Queuing System Based on Quantization, Mechanical Engineering, Mechanics of Materials, General Materials Science |
| title | Resource Allocation Algorithm Modeling in Queuing System Based on Quantization |
| title_full | Resource Allocation Algorithm Modeling in Queuing System Based on Quantization |
| title_fullStr | Resource Allocation Algorithm Modeling in Queuing System Based on Quantization |
| title_full_unstemmed | Resource Allocation Algorithm Modeling in Queuing System Based on Quantization |
| title_short | Resource Allocation Algorithm Modeling in Queuing System Based on Quantization |
| title_sort | resource allocation algorithm modeling in queuing system based on quantization |
| title_unstemmed | Resource Allocation Algorithm Modeling in Queuing System Based on Quantization |
| topic | Mechanical Engineering, Mechanics of Materials, General Materials Science |
| url | http://dx.doi.org/10.4028/www.scientific.net/kem.685.886 |