METHOD OF IMPROVING THE EFFICIENCY OF DISTRIBUTED DATA PROCESSING IN COMPUTER SYSTEMS OF CELLULAR OPERATORS
DOI:
https://doi.org/10.24025/2306-4412.4.2020.223782Keywords:
cellular communication, data transmission, distributed computing, network channels, genetic algorithm.Abstract
The creation of information society in Ukraine is one of the most urgent tasks today. In the Strategy for the Development of the Information Society in Ukraine, the priorities for the formation of the country's modern information infrastructure include the creation of high-speed mobile broadband access networks to Internet resources throughout Ukraine. At the same time, with the development of cellular networks, new and more advanced network architectures for data transmission and management appear. However, there are still a number of unresolved issues and problem areas that need to be addressed accordingly. Therefore, the creation of high-speed networks of the fourth and fifth generations of broadband access to Internet resources and increase of the efficiency of their operation is an urgent and promising task. The purpose of the study is to develop methods to improve the efficiency of distributed data processing in computer systems of cellular operators. Achieving the goal is aimed at improving the quality of customer service of modern cellular networks and meeting the requirements for next generation networks. The paper analyzes the effectiveness of methods, models and technologies of distributed data processing in computer systems of cellular operators and identifies their shortcomings. After that, a method has been developed to optimize the placement of scalable services on the distributed computing resources of the cellular network, which consists in the sequential use of the boundary computing model, a generalized cellular network model and a heuristic solution based on genetic algorithms. The method obtained as a result of this work allows to reduce the level of degradation of the quality of service of end subscribers of the cellular operator's network, in particular, delays of up to 8 ms for a large number of subscribers and, accordingly, a large number of tasks.
References
Cisco Annual Internet Report. [Online]. Available: https://newsroom.cisco.com/press-release-content?type=webcontent& articleId=2055169
Ericsson Mobility Report. [Online]. Available: https://www.ericsson.com/en/mo bility-report
M. A. Makolkina, A. A. Athea, A. S. A. Muthanna, and A. E. Kucheryaviy, "The method of unloading augmented reality application traffic in a multilevel boundary computing system", Elektrosvyaz, no. 6, pp. 36-42, 2019. [in Russian].
D. V. Kashkarov, and A. E. Kucheryaviy, "Analysis of applications and prospects for the development of border computing technologies with multiple access in communication networks", Informatsionnyye Tekhnologii i Telekommunikatsii, no. 8.1, pp. 28-33, 2020. [in Russian].
A. A. Ateya, A. I. Vybornova, and A. E. Kucheryaviy, "Multi-tier cloud architecture for Tactile Internet services", Elektrosvyaz, no. 2, pp. 26-30, 2017. [in Russian].
A. S. Viktorov, and V. N. Shvedenko, "Methods for creating an efficient distributed data warehouse for a UAV telemetry peripheral data processing service", Informatsionno-ekonomicheskiye aspekty standartizatsii i tekhnicheskogo regulirovaniya, no. 1, 2018. [in Russian].
N. Hassan, K. A. Yau, and C. Wu, "Edge computing in 5G: A review", in IEEE Access, vol. 7, pp. 127276-127289, 2019. DOI: 10.1109/ACCESS.2019.2938534
Shi, Weisong, et al., "Edge computing: Vision and challenges", IEEE Internet of Things Journal, no. 3.5, рр. 637-646, 2016.[9] Premsankar, Gopika, Mario Di Francesco, and Tarik Taleb, "Edge computing for the Internet of Things: A case study", IEEE Internet of Things Journal, no. 5.2, рр. 1275-1284, 2018.
Li, Hongxing, et al. "Mobile edge computing: Progress and challenges", in 4th IEEE Int. Conf. on mobile cloud computing, services, and engineering (MobileCloud), IEEE, 2016.
Wang, Shangguang, et al., "Edge server placement in mobile edge computing", Journal of Parallel and Distributed Computing, no. 127, pp. 160-168, 2019.
Wang, Shangguang, et al., "A survey on service migration in mobile edge computing", IEEE Access, no. 6 pp. 23511-23528, 2018.
Liu, Juan, et al. "Delay-optimal computation task scheduling for mobile-edge computing systems", in IEEE Int. Symposium on Information Theory (ISIT), IEEE, 2016.
J. Hammer, P. Moll, and H. Hellwagner, "Transparent access to 5G edge computing services", in IEEE Int. Parallel and Distributed Processing Symposium Workshops (IPDPSW), Rio de Janeiro, Brazil, 2019, pp. 895-898. DOI: 10.1109/IPDPSW.2019.00147
Q. Pham et al., "A survey of multi-access edge computing in 5G and beyond: Fundamentals, technology integration, and state-of-the-art", IEEE Access, vol. 8, pp. 116974-117017, 2020. DOI: 10.1109/ ACCESS.2020.3001277
L Satish, and B. I. Gururaj, "Use of hidden Markov models for partial discharge pattern classification", IEEE ransactions on Dielectrics and Electrical Insulation, April 2003.
R. Poli, W. B. Langdon, and N. F. McPhee, A Field Guide to Genetic Programming, 2008. [Online]. Available: Lulu.com. ISBN 978-1-4092-0073-4.
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Copyright (c) 2020 Ірина Валеріївна Миронець, Павло Сергійович Усік, Олексій Анатолійович Смірнов, Костянтин Олегович Буравченко The authors who publish in this journal agree to the following terms:The authors reserve the right to authorship of their work and give the journal the right to first publish this work under the terms of the Creative Commons Attribution License CC BY-NC, which allows other persons to freely distribute published work with a mandatory reference to authors of the original work and the first publication of the work in this journal.
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