Microservice approach to the qualitative study of attractors of binary dynamic systems based on the Boolean constraint method

Abstract

In recent years, due to the active development of distributed computing technologies, the automation of computations based on these technologies became very important for solving the problems of qualitative research of binary dynamic systems, which are widely used as mathematical models in cryptography, bioinformatics, the study of fault tolerance of computer networks, and some other domains. In this regard, the issues are actualized of developing tools and providing infrastructures for the microservice-based implementation of scientific applications, which are characterized by the dynamism of resource requirements and oriented to use in a hybrid cloud environment. We offer microservice-oriented tools for the automation of solving computationally complex problems of a qualitative study of attractors of binary dynamic systems in a hybrid computing environment. This study is based on the Boolean constraint method and allows the finding of evolutionary parameters of system states (such as, for example, radius, period, and branching) without modeling system dynamics. These tools provide the agents implemented as web-services for the integration of resources of on-premises computers with cloud resources using Dew computing. An example of the application of the developed tools is given.