Evaluating the effectiveness of load balancing methods in distributed computing systems

Min Thu Khaing, Sergey Lupin, Aung Thu


Nowadays, distributed computing is one of the popular approaches that is widely used in research and development related to the use of resource-intensive applications. The available distributed computing systems are based on modern GRID technologies. The main problem when using them, especially for heterogeneous systems, is to ensure uniform load of all nodes participating in the joint solution of the problem. This is achieved through various methods of load balancing or optimal distribution of tasks between the nodes of the computing system. The article presents the results of comparing three methods of load balancing. It has been determined that the most effective method is based on taking into account the real performance of the nodes. The results obtained can be useful to a wide range of scientific workers.

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Sheng Y., Gui L., Wei Z., Duan J., and Liu Y. Layered Models for General Parallel Computation Based on Heterogeneous System. 2012 13th International Conference on Parallel and Distributed Computing, Applications and Technologies. doi:10.1109/pdcat.2012.85.

Md. Firoj Ali. Distributed Computing: An Overview, Int. J. Advanced Networking and Applications Volume: 07 Issue: 01 Pages: 2630-2635 (2015) ISSN: 0975-0290.

Babichev S. L. Raspredelennye sistemy: uchebnoe posobie dlja vuzov / S. L. Babichev, K. A. Kon'kov. — Moskva : Izdatel'stvo Jurajt, 2019. — 507 s. — (Vysshee obrazovanie). — ISBN 978-5-534-11380-8. — Tekst : jelektronnyj // Obrazovatel'naja platforma Jurajt [sajt]. — URL: https://urait.ru/bcode/445188 (data obrashhenija: 25.09.2021).

A. Chhabra, G. Singh, S.S. Waraich, B. Sidhu and G. Kumar. Qualitative Parametric Comparison of Load Balancing Algorithms in parallel and Distributed Computing Environment, Word Academy of Science, Engineering and Technology, 2006, 39-42.

D.Z. Gu, L. Yang and L.R. Welch. A Predictive, Decentralized Load Balancing Approach, in: Proceedings of the 19th IEEE International Paralleland Distributed Processing Symposium, Denver, Colorado, April 2005, 04-08.

Tabuk. Load Balancing in Distributed Computer Systems, International Journal of Computer Science and Information Security ,Vol. 8, No. 4, 2010.

Md. Firoj Ali1, Rafiqul Zaman Khan. The study on load balancing strategies in distributed computing system, International Journal of Computer Science & Engineering Survey (IJCSES) Vol.3, No.2, April 2012.

Lupin S.A., A.V. Pachin, O.A. Kostrova, D.A. Fedjashin. Dinamicheskoe upravlenie vychislenijami v raspredelennyh sistemah. // Problemy razrabotki perspektivnyh mikro- i nanojelektronnyh sistem - 2016. Sbornik trudov / pod obshh. red. Akademika RAN A.L.Stempkovskogo. - M.: IPPM RAN, 2016. Chast' II - 185 s., S. 185-189

JJ'S WEBSITE, PsExec Simple Tutorial, [Online]. Dostup: http://jjasser.com/2014/04/psexec-simple-tutorial/.

OpenMP technology (Open Multi-Processing) [Online]. Dostup: https://ru.wikipedia.org/wiki/OpenMP

S.S. Manvi and M.N. Birje. A Review on Wireless Grid Computing, International Journal of Computer and Electrical Engineering, Vol. 2, No. 3, June, 2010.

Sergey Lupin, Aleksandr Pachin, Olga Kostrova, Dmitriy Fedyashin. Using the Applications’ Reentering for Improvement the GRID Computing Efficiency / Proceedings of 2016 IEEE NW Russia Young Researches in Electrical and Electronic Engineering Conference (EIConRusNW) St. Petersburg, Russia, February 2 - 4, 2016, pp. 256 - 258, DOI: 10.1109/EIConRusNW.2016.7448168

Lupin S.A., Aj Min Tajk, Fedjashin D.A. Optimizacija topologii besprovodnyh setej - reshenie dlja napravlennyh antenn // International Journal of Open Information Technologies. #7, 2018, s. 32-38


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