Application of Neural Networks in Distribution of the Load in Cluster-Based Web Systems

Abstract

Cloud computing systems revolutionized the Internet, and web systems in particular. Quality of service is the basis of resource configuration management in the cloud. Load balancing mechanisms are implemented in order to reduce costs and increase the quality of service. The usage of those methods with adaptive intelligent algorithms can deliver the highest quality of service. In this article, the method of load distribution using neural networks to estimate service times is presented. The discussed and conducted research and experiments include many approaches, among others, application of a single artificial neuron, different structures of the neural networks, and different inputs for the networks. The results of the experiments let us choose a solution that enables effective load distribution in the cloud. The best solution is also compared with other intelligent approaches and distribution methods often used in production systems.

Implementation of a Hybrid Intelligence System Enabling the Effectiveness Assessment of Interaction Channels Use in HMI

“…The main challenge for upcoming research will be the adaptation and profiling of the proposed architecture to specific use cases of new workplaces. Further improvements and advancements will include, inter alia: centralized AI engine for numerous domain-restricted agents [107], distributed implementation for the centralized AI engine [108], load optimization for the distributed engine [109][110][111][112], integration of interactive artificial agents (including co-bots), and possibly a better data representation model created using information retrieval logic and a specified description language [113,114] instead of a static database of facts and relations. An alternative approach would be to follow the mainstream of current AI research and to implement a GPT-3-based chatbot [115]; however, this approach either needs reasonable funding or will generate a general model not suitable for domain-specific professional uses.…”