Redistribution of information flows in a hyperconvergent system

Article Sidebar

PDF (Українська)
DOI: https://doi.org/10.20998/2522-9052.2019.2.20
Keywords:
virtual communication channel, hyperconverting system, bandwidth, information flow

Main Article Content

Nina Kuchuk
National Technical University "Kharkiv Polytechnic Institute", Kharkiv
https://orcid.org/0000-0002-0784-1465
Svitlana Gavrylenko
National Technical University "Kharkiv Polytechnic Institute", Kharkiv
https://orcid.org/0000-0002-5093-0420
Valentin Sobchuk
Lesya Ukrainka Eastern European National University, Lutsk
https://orcid.org/0000-0002-4002-8206
Nataliya Lukova-Chuiko
Taras Shevchenko Kyiv National University, Kyiv
https://orcid.org/0000-0003-3224-4061

Abstract

When solving the tasks of managing the structure of the virtual communication channels (SQPC), the problem arises the optimal load distribution in order to provide the necessary quality of service to its subscribers. The subject of the research is the structure of the system of virtual communication channels. The purpose of the research is to develop a method of operational reconfiguration of the system of virtual communication channels, which will ensure a decrease in the average value of network latency on the hyperconverting platform in comparison with the static distribution. Results. Minimax criterion was used to solve the problem of operational reconfiguration of the SQC when the situation on the network was changed. The optimization problem is formulated as follows: finding such a distribution of bandwidth of the virtual communication channels for the new structure of the QMS, that is, determining the vector of the throughput capabilities of the virtual communication channels, which minimizes the maximum value of the coefficient of use of the physical channel in the network. The proposed algorithm for solving the optimization problem is proposed. Conclusions. The operative reconfiguration of the virtual communication channels system, which minimizes the maximum value of the coefficient of use of physical communication channels, when changing the load of the SQUAZ during its operation, leads to a decrease in the average delay value. The advantages of the proposed algorithm in comparison with the existing ones are to ensure the redistribution of the bandwidth of the network resources by integer units and taking into account the possibilities of the hyperconverting platform and physical channels of communication, on the basis of which a network of virtual communication channels is built.

Article Details

How to Cite
Kuchuk, N., Gavrylenko, S., Sobchuk, V., & Lukova-Chuiko, N. (2019). Redistribution of information flows in a hyperconvergent system. Advanced Information Systems, 3(2), 116–121. https://doi.org/10.20998/2522-9052.2019.2.20
Issue
Vol. 3 No. 2 (2019): Advanced Information Systems
Section
Applied problems of information systems operation
Author Biographies

Nina Kuchuk, National Technical University "Kharkiv Polytechnic Institute", Kharkiv

Candidate of Pedagogical Sciences, Associate Professor, Associate Professor of Computer Science and Programming Department

Svitlana Gavrylenko, National Technical University "Kharkiv Polytechnic Institute", Kharkiv

Candidate of Technical Sciences, Associate Professor, Professor of Computer Science and Programming Department

Valentin Sobchuk, Lesya Ukrainka Eastern European National University, Lutsk

Candidate of Physical And Mathematical Sciences, Associate Professor, Associate Professor of Differential Equations And Math. Physics Department

Nataliya Lukova-Chuiko, Taras Shevchenko Kyiv National University, Kyiv

Doctor of Technical Sciences, Associate Professor, Associate Professor of Cybersecurity and Information Protection Department

References

Shmatkov S.I., Kuchuk, N.G. and Donets V.V. (2018), “Model of information structure of the hyperconvergent system of support of electronic computing resources of university e-learning”, Control systems, navigation and communication, PNTU, Poltava, No. 2 (48), pp. 97-100.

Merlac, V., Smatkov, S., Kuchuk, N. and Nechausov A. (2018), “Resourses Distribution Method of University e-learning on the Hypercovergent platform”, Сonf. Proc. of 2018 IEEE 9th International Conference on Dependable Systems, Service and Technologies. DESSERT’2018, Ukraine, Kyiv, May 24-27, pp. 136-140, – DOI: http://dx.doi.org/ 10.1109/DESSERT.2018.8409114

Donets, V., Kuchuk, N. and Shmatkov, S. (2018), “Development of software of e-learning information system synthesis mod-eling process”, Advanced Information Systems, Vol. 2, No 2, pp. 117–121, DOI:

https://doi.org/10.20998/2522-9052.2018.2.20.

Zykov, I.S., Kuchuk, N.H. and Shmatkov S.I. (2018), “Synthesis of architecture of the computer transaction management sys-tem e-learning”, Advanced Information Systems, Vol. 2, No. 3, pp. 60-66, DOI:

https://doi.org/10.20998/2522-9052.2018.3.10.

Kuchuk, N., Mozhaiev, O., Mozhaiev; M. and Kuchuk, H. (2017), “Method for calculating of R-learning traffic peakedness”, 4th International Scientific-Practical Conference Problems of Infocommunications Science and Technology, PIC S and T 2017, pp. 359–362. URL : http://dx.doi.org/10.1109/INFOCOMMST.2017.8246416.

Kuchuk, G.A. (2003), "Method of estimation of characteristics of ATM traffic", Information and control systems in the railway transport, No. 6, pp. 44–48.

Kuchuk G.A., Mozhaev, O.O. and Vorobyov O.V. (2006), “The method of aggregation of fractal traffic”, Radio electronic and computer system, No. 6 (18), pp. 181-188.

Saravana, Balaji B., Karthikeyan, N.K. and Raj Kumar, R.S., (2018), “Fuzzy service conceptual ontology system for cloud service recommendation”, Computers & Electrical Engineering, Vol. 69, pp. 435–446.

Kovalenko, A. A. (2014), “Approaches to the synthesis of the technical structure of a computer system forming the control system of an object of critical application”, Collection of scientific works of Kharkiv National University of Air Forces, No. 1 (38), pp. 116-119.

Kuchuk, G. А. (2004), “Fractal Gaussian noise in traffic routes”, Information Processing Systems, No. 3 (31), pp. 91-100.

Kovalenko, A.A. and Kuchuk, G.A. (2016), “Optimal traffic control of a multiservice network based on the methods of sequen-tial improvement of solutions”, Systems of armament and military equipment, No. 3 (47), pp. 59-63.

Amin Salih M. and Potrus M.Y. (2015), “A Method for Compensation of Tcp Throughput Degrading During Movement Of Mobile Node”, ZANCO Journal of Pure and Applied Sciences, Vol. 27, No 6, pp. 59–68.

Kovalenko, A.A. (2014), “Approaches to the synthesis of the information structure of the system for managing an object of critical application”, Information Processing Systems, No. 1 (117), pp. 180-184.

Dhivakar B., Saravanan S.V., Sivaram M., Krishnan R.A. Statistical Score Calculation of Information Retrieval Systems using Data Fusion Technique”. Computer Science and Engineering, Vol. 2, Issue 5, pp. 43-45.

Sivaram, M., Batri, K., Amin Salih, Mohammed and Porkodi V. (2019), “Exploiting the Local Optima in Genetic Algorithm using Tabu Search”, Indian Journal of Science and Technology, Volume 12, Issue 1.

Kuchuk, G., Nechausov, S. and Kharchenko, V. (2015), “Two-stage optimization of resource allocation for hybrid cloud data store”, International Conference on Information and Digital Technologies, Zilina, pp. 266-271.

Ruban, I., Kuchuk, H. and Kovalenko A. (2017), “Redistribution of base stations load in mobile communication networks”, Innovative technologies and scientific solutions for industries, No 1 (1), P. 75–81.

Kovalenko, A.A. and Kuchuk, G.А. (2018), “The current state and trends of the development of computer systems of objects of critical application”, Systems of control, navigation and communication, PNTU, Poltava, No. 1 (47), pp. 110–113.

Kuchuk, G.A., Kovalenko, A.A. and Yankovsky A.A. (2014), “Model of the process of evolution of the topological structure of the computer network of a control system for an object of critical application”, Information Processing Systems, No. 7 (123), pp. 93-96.

Kuchuk G.A., Mohammad A.S. and Kovalenko, A.A. (2011), “The parametric data transmission control method for modifying the transport protocols of wireless networks ”, Information Processing Systems, No. 8 (98), pp. 211-218.

Kuchuk, G.A., Kovalenko, A.A. and Lukova-Chujiko, N.V. (2017), “A method for minimizing the average latency of packets in the virtual connections of the cloud service support network”, Control, navigation and communication systems, PNTU, Pol-tava, No. 2 (42),- pp. 117–120.

Sivaram, M., Yuvaraj, D., Amin Salih, Mohammed, Porkodi, V. and Manikandan V. (2018), “The Real Problem Through a Selection Making an Algorithm that Minimizes the Computational Complexity”, International Journal of Engineering and Ad-vanced Technology, Vol. 8, iss. 2, 2018, pp. 95-100.

Kovalenko, А. and Kuchuk H. (2018), “Methods for synthesis of informational and technical structures of critical application object’s control system”, Advanced Information Systems, 2018, Vol. 2, No. 1, pp. 22–27, DOI: https://doi.org/10.20998/2522-9052.2018.1.04

Sviridov, A., Kovalenko, A. and Kuchuk, H. (2018), “The pass-through capacity redevelopment method of net critical section based on improvement ON/OFF models of traffic”, Advanced Information Systems, Vol. 2, No. 2, pp. 139–144, DOI: https://doi.org/10.20998/2522-9052.2018.2.24