REDUCING THE DELAY OF E-LEARNING TRANSACTIONS IN COMPUTER NETWORKS OF HYPERCONVERGENT ARCHITECTURE

Keywords: e-learning, hyperconvergent architecture, transaction, method of penalties

Abstract

The relevance of research. The infrastructure created on a convergent platform involves combining memory, computing and network resources into a single pool. But in the context of a hyperconvergent infrastructure, computing power, storage, servers, networks are integrated by software. This contributes to reducing operating costs, which is especially important for e-learning support systems. The subject of the research is processing e-learning transactions in computer networks of hyperconvergent architecture. The goal of the article is to reduce the delay of e-learning transactions in computer networks of hyperconvergent architecture. The following methods were used to reduce the delay of e-learning transactions – the methods of set theory; optimization by penalty functions, the method of potentials. The following results were achieved: the method for minimizing the average delay of transactions in computer networks of a hyperconvergent architecture was proposed, which enabled assigning the distributed computing resources for processing a set of e-learning transactions equally to the quanta of a given time interval. The method also suggests partitioning the set of transactions into subsets and distributing them to network nodes while distributed processing so that the average delay of the data packet in the network assumes the minimum value and ensures a uniform network loading for a large number of subscribers. In the proposed method, the objective function of the task of finding a rational partitioning of a set of e-learning transactions processed in the computer network into subsets and their assignment to the nodes of the hyperconvergent network is determined by using the penalty function when each unit of the computing resource is assignedto the current time quantum. Conclusions. The approach for reducing the delay of e-learning transactions in computer networks of a hyperconvergent architecture is proposed. The approach is based on the proposed method for minimizing the average delay, taking into account the features of a hyperconvergent architecture. The application of the approach enables balancing the network load with a large number of transactions and meeting the requirements for the speed of e-learning transaction processing.

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Author Biographies

Нина Георгиевна Кучук, V. N. Karazin Kharkiv National University
PhD (Pedagogy Sciences), V. N. Karazin Kharkiv National University, Associate Professor of the Department of Theoretical and Applied Systems Engineering
Александр Александрович Можаев, Kharkiv National University of Internal Affairs
Doctor of Sciences (Engineering), Professor, Kharkiv National University of Internal Affairs, Professor of the Chair of Information Technologies
Сергей Игоревич Шматков, V. N. Karazin Kharkiv National University
Doctor of Sciences (Engineering), Professor, V. N. Karazin Kharkiv National University, Head of the Department of Theoretical and Applied Systems Engineering
Наталья Викторовна Косенко, O. M. Beketov Kharkiv National University of Urban Economy
PhD (Engineering Sciences), O. M. Beketov Kharkiv National University of Urban Economy, Associate Professor at the Department of Project Management in Urban Economy and Construction

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Published
2018-07-03
How to Cite
Кучук, Н., Можаев, А., Шматков, С. and Косенко, Н. (2018) “REDUCING THE DELAY OF E-LEARNING TRANSACTIONS IN COMPUTER NETWORKS OF HYPERCONVERGENT ARCHITECTURE”, INNOVATIVE TECHNOLOGIES AND SCIENTIFIC SOLUTIONS FOR INDUSTRIES, (2 (4), pp. 19-24. doi: 10.30837/2522-9818.2018.4.019.