A Policy-Based Autonomic Management System for Smart Cities Leveraging Off-The-Shelf Platforms

Smart cities represent a paradigm shift in urban management, harnessing the power of the Internet of Things (IoT) to optimize various aspects of urban life. However, the management of the large number of devices and massive data generated by these interconnected systems poses significant challenges. Addressing this issue requires an integrated approach across urban planning, IoT, and monitoring domains. This paper introduces a policy-based autonomic management system for smart cities, aiming to tackle the real-time management of urban environments and infrastructure. Central to this approach is a focus on continuous monitoring, data analysis, and real-time resource assessment, drawing inspiration from the MAPE-K framework, with the goal of minimizing human intervention. The system integrates existing IoT and monitoring platforms and introduces policies to automate management operations. After defining the policies, the ASCMS utilizes those policies stored in a database to adapt to changing circumstances, effectively responding to events such as sensor offline status or CPU overuse. Additionally, its healing capabilities within the ecosystem are demonstrated, showcasing novel autonomy in managing smart city environments and infrastructure.