Simulation model of load balancing in distributed computing systems
| Parent link: | IOP Conference Series: Materials Science and Engineering Vol. 177 : Mechanical Engineering, Automation and Control Systems (MEACS 2016).— 2017.— [012017, 6 p.] |
|---|---|
| Main Author: | |
| Corporate Author: | |
| Other Authors: | , |
| Summary: | Title screen The availability of high-performance computing, high speed data transfer over the network and widespread of software for the design and pre-production in mechanical engineering have led to the fact that at the present time the large industrial enterprises and small engineering companies implement complex computer systems for efficient solutions of production and management tasks. Such computer systems are generally built on the basis of distributed heterogeneous computer systems. The analytical problems solved by such systems are the key models of research, but the system-wide problems of efficient distribution (balancing) of the computational load and accommodation input, intermediate and output databases are no less important. The main tasks of this balancing system are load and condition monitoring of compute nodes, and the selection of a node for transition of the user's request in accordance with a predetermined algorithm. The load balancing is one of the most used methods of increasing productivity of distributed computing systems through the optimal allocation of tasks between the computer system nodes. Therefore, the development of methods and algorithms for computing optimal scheduling in a distributed system, dynamically changing its infrastructure, is an important task. |
| Language: | English |
| Published: |
2017
|
| Series: | Information technologies in Mechanical Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1088/1757-899X/177/1/012017 http://earchive.tpu.ru/handle/11683/37872 |
| Format: | Electronic Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=654012 |
MARC
| LEADER | 00000nla2a2200000 4500 | ||
|---|---|---|---|
| 001 | 654012 | ||
| 005 | 20240212145929.0 | ||
| 035 | |a (RuTPU)RU\TPU\network\19527 | ||
| 035 | |a RU\TPU\network\19524 | ||
| 090 | |a 654012 | ||
| 100 | |a 20170406a2017 k y0engy50 ba | ||
| 101 | 0 | |a eng | |
| 105 | |a y z 100zy | ||
| 135 | |a drcn ---uucaa | ||
| 181 | 0 | |a i | |
| 182 | 0 | |a b | |
| 200 | 1 | |a Simulation model of load balancing in distributed computing systems |f I. A. Botygin, V. N. Popov, S. G. Frolov | |
| 203 | |a Text |c electronic | ||
| 225 | 1 | |a Information technologies in Mechanical Engineering | |
| 300 | |a Title screen | ||
| 320 | |a [References: 16 tit.] | ||
| 330 | |a The availability of high-performance computing, high speed data transfer over the network and widespread of software for the design and pre-production in mechanical engineering have led to the fact that at the present time the large industrial enterprises and small engineering companies implement complex computer systems for efficient solutions of production and management tasks. Such computer systems are generally built on the basis of distributed heterogeneous computer systems. The analytical problems solved by such systems are the key models of research, but the system-wide problems of efficient distribution (balancing) of the computational load and accommodation input, intermediate and output databases are no less important. The main tasks of this balancing system are load and condition monitoring of compute nodes, and the selection of a node for transition of the user's request in accordance with a predetermined algorithm. The load balancing is one of the most used methods of increasing productivity of distributed computing systems through the optimal allocation of tasks between the computer system nodes. Therefore, the development of methods and algorithms for computing optimal scheduling in a distributed system, dynamically changing its infrastructure, is an important task. | ||
| 461 | 0 | |0 (RuTPU)RU\TPU\network\2008 |t IOP Conference Series: Materials Science and Engineering | |
| 463 | 0 | |0 (RuTPU)RU\TPU\network\19514 |t Vol. 177 : Mechanical Engineering, Automation and Control Systems (MEACS 2016) |o International Conference, October 27–29, 2016, Tomsk, Russia |o [proceedings] |f National Research Tomsk Polytechnic University (TPU) ; eds. A. P. Zykova ; N. V. Martyushev |v [012017, 6 p.] |d 2017 | |
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a имитационные модели | |
| 610 | 1 | |a балансировка | |
| 610 | 1 | |a нагрузки | |
| 610 | 1 | |a распределенные динамические системы | |
| 610 | 1 | |a передача данных | |
| 610 | 1 | |a программное обеспечение | |
| 610 | 1 | |a гетерогенные системы | |
| 610 | 1 | |a производительность | |
| 610 | 1 | |a алгоритмы | |
| 700 | 1 | |a Botygin |b I. A. |c specialist in the field of Informatics and computer engineering |c Associate Professor of Tomsk Polytechnic University, candidate of technical sciences |f 1947- |g Igor Aleksandrovich |3 (RuTPU)RU\TPU\pers\33725 |9 17356 | |
| 701 | 1 | |a Popov |b V. N. |c specialist in the field of informatics and computer technology |c Associate Professor of Tomsk Polytechnic University, candidate of technical sciences |f 1978- |g Vladimir Nikolaevich |3 (RuTPU)RU\TPU\pers\36283 |9 19358 | |
| 701 | 1 | |a Frolov |b S. G. | |
| 712 | 0 | 2 | |a Национальный исследовательский Томский политехнический университет (ТПУ) |b Институт кибернетики (ИК) |3 (RuTPU)RU\TPU\col\18397 |
| 801 | 2 | |a RU |b 63413507 |c 20170411 |g RCR | |
| 856 | 4 | |u http://dx.doi.org/10.1088/1757-899X/177/1/012017 | |
| 856 | 4 | |u http://earchive.tpu.ru/handle/11683/37872 | |
| 942 | |c CF | ||