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  1. Електронний науковий архів Науково-технічної бібліотеки Національного університету "Львівська політехніка"
  2. Електронний архів Науково-технічної бібліотеки
  3. Вісники та науково-технічні збірники, журнали
  4. Комп'ютерні системи та мережі
  5. Комп'ютерні системи та мережі. – 2019. – Том 1, № 1

putin IS MURDERER

Please use this identifier to cite or link to this item: https://oldena.lpnu.ua/handle/ntb/56353
Title: Оцінювання надійності паралельних обчислювальних систем під час виконання заданого комплексу взаємопов’язаних робіт
Other Titles: Assessment of reliability of parallel computer systems at performance of the chosen complex of related works
Authors: Клушин, Ю. С.
Klushyn, Y.
Affiliation: Національний університет “Львівська політехніка”
Lviv Polytechnic National University
Bibliographic description (Ukraine): Клушин Ю. С. Оцінювання надійності паралельних обчислювальних систем під час виконання заданого комплексу взаємопов’язаних робіт / Ю. С. Клушин // Комп’ютерні системи та мережі. — Львів : Видавництво Львівської політехніки, 2019. — Том 1. — № 1. — С. 15–23.
Bibliographic description (International): Klushyn Y. Assessment of reliability of parallel computer systems at performance of the chosen complex of related works / Y. Klushyn // Kompiuterni systemy ta merezhi. — Lviv : Lviv Politechnic Publishing House, 2019. — Vol 1. — No 1. — P. 15–23.
Is part of: Комп’ютерні системи та мережі, 1 (1), 2019
Journal/Collection: Комп’ютерні системи та мережі
Issue: 1
Volume: 1
Issue Date: 1-Mar-2019
Publisher: Видавництво Львівської політехніки
Lviv Politechnic Publishing House
Place of the edition/event: Львів
Lviv
UDC: 004.021
004.383
Keywords: паралельні обчислювальні системи
комплекс взаємопов’язаних робіт
пряме стохастичне моделювання
марківський процес
функція розподілу випадкової величини
надійність системи
відмова
parallel computing systems
complex of interconnected works
direct stochastic modeling
Markov process
function of distribution of random variable
system reliability
failure
Number of pages: 9
Page range: 15-23
Start page: 15
End page: 23
Abstract: Під час проектування паралельної обчислювальної системи для виконання заданого комплексу взаємопов’язаних робіт важливою характеристикою є її надійність. Але крім основних показників надійності обчислювальної системи, забезпечених технічними засобами, існує ще показник надійності системи, який оцінює придатність паралельної обчислювальної системи до вирішення конкретних задач за визначений час. Це оцінювання безпосередньо пов’язане з ефективністю використання обчислювальних систем.
When designing a parallel computing system for completing a given set of interactions, the robot is an important characteristic of social security. As well as the basic indicators of the higher number of computing systems, to protect yourself from technical problems, the main indicator of the higher value of the system is to assess the accuracy of the parallel calculation system of specific tasks. Tsya otsinka seamlessly due to the effectiveness of vikoristannya obzumyudlyavnyh systems.
URI: https://ena.lpnu.ua/handle/ntb/56353
ISSN: 2707-2371
Copyright owner: © Національний університет “Львівська політехніка”, 2019
© Клушин Ю. С., 2019
References (Ukraine): 1. Kuznetsov P. A. On the issue of analysis of the ef ectiveness of systems with full redundancy. Bulletin of SibSAU, t. 16, No. 2, p. 326–330, 2015.
2. Pullum L. L. Software fault tolerance techniques and implementation. Artech House, 2001. 360 p.
3. Roganov V. R., Grishko A. K., Kochegarov A. K. Three Approaches to evaluating the Performance of active Reservation Systems. DOI 10.21685/2307-4205-2019-2-2.
4. Chu W. W., Leung K. K. Module replication and assignment for real-time distributed processing system // “Proc IEEE”. 1987. 75. Nо. 5. pp. 547–562.
5. Khritankov A. S. Mathematical model of performance characteristics of distributed computing systems. Computer science, management, economics. WORKS OF MIPT. 2010. Volume 2, No. 1 (5), p. 110–115.
6. Ivutin A. N., Larkin E. V. Prediction of the execution time of the algorithm. Magazine. News of TSU. Technical science. Issue number 3/2013. C. 301–315.
7. Bocharov P. L., Ignatushchenko V. V. Mathematical models and methods for evaluating the ef ectiveness of parallel computing systems on complexes of interrelated works // Tez. report international conf, “High-Performance Computing Systems in Management and Scientific Research”, Alma-Ata, 1991.
8. Margalitashvili A. L. Investigation of the effectiveness of the functioning of parallel computing resources on given complexes of interrelated works, Abstract of Cand. dis. M.: In-t prbblem management, 1990.
9. Bocharov P. L., Preydunov Yu. V. Estimation of the execution time of a complex of works on a parallel computational system // System analysis and computer science. Sat scientific papers. M.: Publishing house DN, 1991. C. 29–41.
10. Ingatushchenko V. V. Organization of structures for controlling multiprocessor computing systems. Moscow: Energoatomizdat, 1984.
11. Kumar S., Cohen P. R. Towards a fault-tolerant multi-agent system architecture. In: Proceedings of the Fourth International Conference on Autonomous Agents. ACM, 2000, pp. 459–466. DOI:10.1145/336595.337570.
12. Guessoum Z., Briot J. P., Faci N. Towards Fault-Tolerant Massively Multiagent Systems. In: Massively Multi-Agent Systems I. Springer Berlin Heidelberg, 2005. P. 55–69. (Ser. Lecture Notes in Computer Science; vol. 3446). DOI: 10.1007/11512073_5.
13. Serugendo G. D.M., Romanovsky A. Designing Fault-Tolerant Mobile Systems. In: Scientific Engineering for Distributed Java Applications. Springer Berlin Heidelberg, 2003. P. 185–201. (Ser. Lecture Notes in Computer Science; vol. 2604). DOI: 10.1007/3-540-36520-6_17.
14. Mellouli S. A Reorganization Strategy to Build Fault-Tolerant Multi-Agent Systems. In: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2007. P. 61–72. (Ser. Lecture Notes in Computer Science; vol. 4509). DOI: 10.1007/978-3-540-72665-4_6.
15. Ignatushchenko V. V., Klushin Y. S. Prediction of the implementation of complex software systems on parallel computers: direct stochastic modeling // Automation and Remote Control. 1994. N 12, p. 142–157.
16. Klushin, Y. S. Prediction of the implementation of complex software systems on parallel computers // Proc. Report Second Ukrainian Conference on Automatic Control “Automation-95”. Lviv, 1995, vol. 2, p. 100.
17. Ignatushchenko V. V., Klushin Yu. S. Forecasting the implementation of complex software systems on control parallel computers: exact methods // Scientific works of the International Symposium “Automated Control Systems”, Tbilisi: ed. Intellect, 1996, p. 23–28.
18. Klushin Y. S. Evaluation of the ef ectiveness of various dispatching disciplines for reducing the time to perform complex software systems on parallel computing systems / Bulletin of National University “Lviv Polytechnic” No. 413. Computer engineering and information technology. Lviv: NU “LP”, 2000. p. 19–23.
19. Gross, D., Miller, D., Transition Markov processes // Operations Research. 1984. Vol. 32. No. 4. P. 334–361.
20. Reibman A. L., Trivedi K. S. Numerical transient analysis of Markov models // Computers and Operations Research. 1988. Vol. 15. No. 1. P. 19–36.
21. Klushin, Y. S. Software implementation of mathematical models, methods and algorithms for estimating the time of execution of complex software complexes in multiprocessor computer systems. Bulletin of NU “Lviv Polytechnic” № 905. Computer systems and networks. Lviv: NU “LP”, 2018.
22. Klushin, Y. S. Improving the accuracy of estimating the execution time of folding software systems in multiprocessor computer systems for belt stochastic modeling. Bulletin of NU “Lviv Polytechnic” No. 881. Computer systems and networks. Lviv: NU “LP”, 2017.
References (International): 1. Kuznetsov P. A. On the issue of analysis of the ef ectiveness of systems with full redundancy. Bulletin of SibSAU, t. 16, No. 2, p. 326–330, 2015.
2. Pullum L. L. Software fault tolerance techniques and implementation. Artech House, 2001. 360 p.
3. Roganov V. R., Grishko A. K., Kochegarov A. K. Three Approaches to evaluating the Performance of active Reservation Systems. DOI 10.21685/2307-4205-2019-2-2.
4. Chu W. W., Leung K. K. Module replication and assignment for real-time distributed processing system, "Proc IEEE". 1987. 75. No. 5. pp. 547–562.
5. Khritankov A. S. Mathematical model of performance characteristics of distributed computing systems. Computer science, management, economics. WORKS OF MIPT. 2010. Volume 2, No. 1 (5), p. 110–115.
6. Ivutin A. N., Larkin E. V. Prediction of the execution time of the algorithm. Magazine. News of TSU. Technical science. Issue number 3/2013. P. 301–315.
7. Bocharov P. L., Ignatushchenko V. V. Mathematical models and methods for evaluating the ef ectiveness of parallel computing systems on complexes of interrelated works, Tez. report international conf, "High-Performance Computing Systems in Management and Scientific Research", Alma-Ata, 1991.
8. Margalitashvili A. L. Investigation of the effectiveness of the functioning of parallel computing resources on given complexes of interrelated works, Abstract of Cand. dis. M., In-t prbblem management, 1990.
9. Bocharov P. L., Preydunov Yu. V. Estimation of the execution time of a complex of works on a parallel computational system, System analysis and computer science. Sat scientific papers. M., Publishing house DN, 1991. P. 29–41.
10. Ingatushchenko V. V. Organization of structures for controlling multiprocessor computing systems. Moscow: Energoatomizdat, 1984.
11. Kumar S., Cohen P. R. Towards a fault-tolerant multi-agent system architecture. In: Proceedings of the Fourth International Conference on Autonomous Agents. ACM, 2000, pp. 459–466. DOI:10.1145/336595.337570.
12. Guessoum Z., Briot J. P., Faci N. Towards Fault-Tolerant Massively Multiagent Systems. In: Massively Multi-Agent Systems I. Springer Berlin Heidelberg, 2005. P. 55–69. (Ser. Lecture Notes in Computer Science; vol. 3446). DOI: 10.1007/11512073_5.
13. Serugendo G. D.M., Romanovsky A. Designing Fault-Tolerant Mobile Systems. In: Scientific Engineering for Distributed Java Applications. Springer Berlin Heidelberg, 2003. P. 185–201. (Ser. Lecture Notes in Computer Science; vol. 2604). DOI: 10.1007/3-540-36520-6_17.
14. Mellouli S. A Reorganization Strategy to Build Fault-Tolerant Multi-Agent Systems. In: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2007. P. 61–72. (Ser. Lecture Notes in Computer Science; vol. 4509). DOI: 10.1007/978-3-540-72665-4_6.
15. Ignatushchenko V. V., Klushin Y. S. Prediction of the implementation of complex software systems on parallel computers: direct stochastic modeling, Automation and Remote Control. 1994. N 12, p. 142–157.
16. Klushin, Y. S. Prediction of the implementation of complex software systems on parallel computers, Proc. Report Second Ukrainian Conference on Automatic Control "Automation-95". Lviv, 1995, vol. 2, p. 100.
17. Ignatushchenko V. V., Klushin Yu. S. Forecasting the implementation of complex software systems on control parallel computers: exact methods, Scientific works of the International Symposium "Automated Control Systems", Tbilisi: ed. Intellect, 1996, p. 23–28.
18. Klushin Y. S. Evaluation of the ef ectiveness of various dispatching disciplines for reducing the time to perform complex software systems on parallel computing systems, Bulletin of National University "Lviv Polytechnic" No. 413. Computer engineering and information technology. Lviv: NU "LP", 2000. p. 19–23.
19. Gross, D., Miller, D., Transition Markov processes, Operations Research. 1984. Vol. 32. No. 4. P. 334–361.
20. Reibman A. L., Trivedi K. S. Numerical transient analysis of Markov models, Computers and Operations Research. 1988. Vol. 15. No. 1. P. 19–36.
21. Klushin, Y. S. Software implementation of mathematical models, methods and algorithms for estimating the time of execution of complex software complexes in multiprocessor computer systems. Bulletin of NU "Lviv Polytechnic" No 905. Computer systems and networks. Lviv: NU "LP", 2018.
22. Klushin, Y. S. Improving the accuracy of estimating the execution time of folding software systems in multiprocessor computer systems for belt stochastic modeling. Bulletin of NU "Lviv Polytechnic" No. 881. Computer systems and networks. Lviv: NU "LP", 2017.
Content type: Article
Appears in Collections:Комп'ютерні системи та мережі. – 2019. – Том 1, № 1

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