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Title	A Policy-Based Autonomic Management System For Smart Cities Leveraging Off-The-Shelf Platforms
ID_Doc	3701
Authors	Okhovat E.; Bauer M.
Year	2024
Published	Lecture Notes in Networks and Systems, 1155 LNNS
DOI	http://dx.doi.org/10.1007/978-3-031-73122-8_14
Abstract	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. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Author Keywords	Autonomic management system; Infrastructure performance; Internet of Things (IoT); MAPE-K framework; Monitoring; Policy-based management; Smart cities

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