Towards Modeling Adaptation Services for Large-Scale Distributed Systems with Abstract State Machines

The evolution of Large-Scale Distributed Systems favored the development of solutions for smart cities. Such systems face a high-level of uncertainty as they consist of a large number of sensors, processing centers, and services deployed along a wide geographical area. Bringing together different resources poses increased complexity as well as communication efforts, and introduces a large set of possible failures and challenges of continuously growing computational and storage expectations. In such a frame, the role of the adaptation components is vital for ensuring availability, reliability, and robustness. This paper introduces a formal approach for modeling and verifying the properties and behavior of the adaptation framework addressing the case of a system failure. We formalize the behavior and the collaboration mechanisms between agents of the system with the aid of Abstract State Machines and employ the ASMETA toolset for simulating and analyzing properties of the model.