REDUCING THE DELAY OF E-LEARNING TRANSACTIONS IN COMPUTER NETWORKS OF HYPERCONVERGENT ARCHITECTURE
Keywords:e-learning, hyperconvergent architecture, transaction, method of penalties
AbstractThe 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.
White Paper: Riverbed Hyper-converged Edge, available at : https://www.riverbed.com/document-repository/white-paper--riverbed-hyper-converged-edge.html (accessed 23 April 2017).
Chernyak, L. (2012), "Time of convergent infrastructures" ["Vremya konvergentnykh infrastruktur"], Otkrytyye sistemy. SUBD, No. 4. URL : https://www.osp.ru/os/2012/04/13015754/ (accessed 23 April 2017).
Kuchuk, H. A. (2013), Information Technologies for Integrated Data Flow Control in Information and Telecommunication Networks of Systems of Critical Purpose [Informatsiyni tekhnolohiyi upravlinnya intehralʹnymy potokamy danykh v informatsiyno-telekomunikatsiynykh merezhakh system krytychnoho pryznachennya], Kharkiv : KHUPS, 264 p.
Kuchuk, N., Artiukh, R. and Nechausov, A. (2017), "Method of building the semantic network of distributed search in e-learning", Innovative Technologies and Scientific Solutions for Industries, No. 2 (2), P. 62–69. Doi: https://doi.org/10.30837/2522-9818.2017.2.062
Kuchuk, H. A., Ruban, I. V., Davikoza, O. P. (2013), "Conceptual approach to structure design of telecommunication network", Information Processing Systems, No. 7 (114), P. 106–112.
Sergiyenko, I. V.(1985), Mathematical models and methods for solving discrete optimization problems [Matematicheskiye modeli i metody resheniya zadach diskretnoy optimizatsii], Kyiv : Nauk. dumka, 520 p.
Gelenbe, E., Pujolle, G. (2010), Analysis and synthesis of computer systems (2nd Edition), Advances in Computer Science and Engineering : Texts, Vol. 4, 309 p.
Whitt, W. (1983), "The Queuing Network Analyzes", Bell System Tech. I, Vol. 62, No. 9, Р. 2779–2815.
Pashnev, A. A., Kuchuk, H. A., Lebedeva, I. A. (2004), "Distribution of computational resource of a homogeneous computer network by quanta of a given time interval" ["Raspredeleniye vychislitel’nogo resursa odnorodnoy vychislitel’noy seti po kvantam zadannogo intervala vremeni"], Information Processing Systems, No. 7 (35), P. 146–153.
Kosenko, V. (2017), "Mathematical model of optimal distribution of applied problems of safety-critical systems over the nodes of the information and telecommunication network", Advanced Information Systems, Vol. 1, No. 2. P. 4–9. Doi: https://doi.org/10. 20998/2522-9052.2017.2.01.
Kuchuk, G., Kharchenko, V., Kovalenko, A., Ruchkov, E. (2016), "Approaches to selection of combinatorial algorithm for optimization in network traffic control of safety-critical systems", East-West Design & Test Symposium (EWDTS), P. 1–6. Doi:https://doi.org/10.1109/EWDTS.2016.7807655.
Kosenko, V. (2017), "Principles and structure of the methodology of risk-adaptive management of parameters of information and telecommunication networks of critical application systems", Innovative Technologies and Scientific Solutions for Industries, No. 1 (1), P. 75–81. Doi:https://doi.org/10.30837/2522-9818.2017.1.046
Kosenko, V. (2017), "Mathematical model of optimal distribution of applied problems of safety-critical systems over the nodes of the information and telecommunication network", Advanced Information Systems, Vol. 1, No. 2, P. 4–9. Doi: https://doi.org/10. 20998/2522-9052.2017.2.01.
Kuchuk, G. A., Kovalenko, A. A., Mozhaev, A. A. (2010), "An Approach To Development Of Complex Metric For Multiservice Network Security Assessment", Statistical Methods Of Signal and Data Processing (SMSDP – 2010): Proc. Int. Conf., October 13-14, 2010, Kiev: NAU, RED, IEEE Ukraine section joint SP, P. 158–160.
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