Distributed Ledger Data Exchange Model Based on a Multilayer Approach

Abstract

As part of the modern approach to “digitalization”, distributed ledger systems are used more intensively as promising tools with a breakthrough innovative potential. This paper presents a possible implementation of a distributed ledger system using the cloud, fog, edge computing, and IoT technology. The paper describes the aspects that should be considered when building a distributed ledger architecture optimization model (dynamic distribution of network services, explosive volumes of maintenance traffic, difficult-to-predict heterogeneous nature of data traffic from various IoT devices). The relevance of using a fractal model to describe data traffic in a distributed ledger network is shown. The research presents a formalized problem definition of minimizing data traffic and network load, which takes into account the distribution of data processing and storing assets, as well as the implementation of services in the cloud, fog, and edge computing environments to create an optimal multilayer topology of the computer network architecture based on a distributed ledger system. The experimental results for Poisson and fractal traffic models obtained using a genetic optimization algorithm with a variable mutation are presented.