Analytics for models of distributed computation

Analytics for models of distributed computation New challenges emerging along with continuously growing complexity of distributed environments create a necessity of using advanced methods for their investigation. Particularly, modern environments for parallel and distributed computations besides ensuring a flexibility of the provided services, having an ability to make decisions under uncertainty, being self-learning and knowledge-based should also have a powerful toolset of advanced and easy to use analysis methods working in an integrated heterogenous distributed environments. The current proposal is a continuation of our investigations done in 2013-2017 including investigations in control and data models for distributed environments, analysis of business processes, computations in fuzzy environments and built-in solutions for test and repair of systems-on-chip as well as recent investigations in 2018-2020 dedicated to application of artificial intelligence methods to the considered problems. The proposed project aims to conduct investigation in the following directions: 1. Analytics of languages accepted by multitape automata, 2. Fuzzy data processing, 3. Data conceptualization and integration, 4. Test solutions for distributed systems-on-chip using new methodology.