load balancing

The article addresses the issue of data protection in information and communication systems amid the growing volume of traffic and the increasing number of cyber threats, necessitating improvements in the effectiveness of intrusion detection and prevention systems. Various types of Intrusion Detection Systems (IDS) and Intrusion Prevention Systems (IPS), their advantages, and disadvantages are considered. The methods of threat detection are analyzed, including signature-based methods, anomaly detection methods, and machine learning-based methods.

Quality of Service (QoS) is identified as a key task for distributed systems because meeting user needs is an important aspect of their successful functioning. Most container autoscaling solutions focus on resource optimization and cost management. However, these solutions often do not consider the dynamic user requirements for Quality of Service (QoS), resulting in delays in resource allocation and a decrease in service quality. Existing autoscaling and load balancing algorithms inadequately account for load dynamics, which is a significant issue.

In modern software-defined networks, providing efficient load balancing is a crucial task for optimal resource utilization and ensuring stable quality of service. To achieve these goals, in this paper, we propose a new innovative load- balancing method for SDN networks based on an anticolonial approach with dynamic parameter settings.

The network architecture of the content delivery network (CDN) and methods of the load balancing were examined in this paper. We have described the algorithm of end users’ request routing which allows selecting the optimum edge server to receive a content with maximum quality. The use of network system monitoring was offered. This system allows to efficiently assess the status of the network and promptly report possible problems. It was defined which parameters are needed to be monitored.

This paper is devoted to the solving the problem which occurs in cellular networks at times of peak busy hour when the radio resources are ended in one or more cells. Proposed method increases the availability of radio resources of mobile network through radio resources forced redistribution. Radio resources forced redistribution is transfer of a part of network load from congested sector to lower loaded sector. This is done by transferring subscriber load (forced handover) between closely-spaced sectors within the common coverage area.