Dr. Ihor Ivanisenko

Dr. Ihor Ivanisenko

Kharkiv National University of Radio Electronics, Ukraine

CV: Ihor Ivanisenko is Associate Professor at the Computer Engineering Faculty and Deputy Head of the IT-Outsourcing Training and Production Center at Kharkiv National University of Radio Electronics (KNURE). He graduated from the same university in 2017 and obtained a PhD in Technical Sciences. As of now, he also works as a senior lecturer at the Education Center for International Students and operated as Deputy Manager of the International Office at KNURE until September 2020. Ivanisenko has gained further work experience as invited lecturer of the Management and Business Department at the Kharkiv National University of Economics, as senior lecturer of the Department of Information and Control Systems at Kharkiv National University of Internal Affairs and as Laboratory Manager of the Computer Laboratory at the Education Center for International Students of KNURE. He is author of more than 50 papers and has participated in a variety of conferences and workshops. His research and development activities include ІТ-infrastructure, self-similarity network traffic properties in the framework of load balancing, computer networking and distributed computer systems.

Presentation title: Models and Methods of Analysis of Self – Similar Network Traffic

Abstract: The active development of information technology and the expansion of information services is largely based on scientific and technological developments in the field of telecommunications networks. Research shows that modern network technologies are growing ahead of theoretical and analytical understanding of network interactions. An important feature of information traffic is that it belongs to self-similar stochastic processes. For self-similar traffic, the methods of calculating the characteristics of the computer network (channel bandwidth, buffer capacity, etc.), based on classical models, do not meet the necessary requirements and do not allow for adequately assessing the load on the network.