Scheduling based on a dynamic resource connection; IOP Conference Series: Materials Science and Engineering; Vol. 177 : Mechanical Engineering, Automation and Control Systems (MEACS 2016)
| Parent link: | IOP Conference Series: Materials Science and Engineering Vol. 177 : Mechanical Engineering, Automation and Control Systems (MEACS 2016).— 2017.— [012030, 6 p.] |
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| Συλλογικό Έργο: | , |
| Άλλοι συγγραφείς: | , , , |
| Περίληψη: | Title screen The practical using of distributed computing systems associated with many problems, including troubles with the organization of an effective interaction between the agents located at the nodes of the system, with the specific configuration of each node of the system to perform a certain task, with the effective distribution of the available information and computational resources of the system, with the control of multithreading which implements the logic of solving research problems and so on. The article describes the method of computing load balancing in distributed automatic systems, focused on the multi-agency and multi-threaded data processing. The scheme of the control of processing requests from the terminal devices, providing the effective dynamic scaling of computing power under peak load is offered. The results of the model experiments research of the developed load scheduling algorithm are set out. These results show the effectiveness of the algorithm even with a significant expansion in the number of connected nodes and zoom in the architecture distributed computing system. |
| Γλώσσα: | Αγγλικά |
| Έκδοση: |
2017
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| Σειρά: | Information technologies in Mechanical Engineering |
| Θέματα: | |
| Διαθέσιμο Online: | http://dx.doi.org/10.1088/1757-899X/177/1/012030 http://earchive.tpu.ru/handle/11683/37843 |
| Μορφή: | Ηλεκτρονική πηγή Κεφάλαιο βιβλίου |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=654025 |
| Περίληψη: | Title screen The practical using of distributed computing systems associated with many problems, including troubles with the organization of an effective interaction between the agents located at the nodes of the system, with the specific configuration of each node of the system to perform a certain task, with the effective distribution of the available information and computational resources of the system, with the control of multithreading which implements the logic of solving research problems and so on. The article describes the method of computing load balancing in distributed automatic systems, focused on the multi-agency and multi-threaded data processing. The scheme of the control of processing requests from the terminal devices, providing the effective dynamic scaling of computing power under peak load is offered. The results of the model experiments research of the developed load scheduling algorithm are set out. These results show the effectiveness of the algorithm even with a significant expansion in the number of connected nodes and zoom in the architecture distributed computing system. |
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| DOI: | 10.1088/1757-899X/177/1/012030 |