Description and Implementation of the ITIL Framework in Edge Computing for Enhancing Operational Efficiency

Edge computing, a decentralised approach to managing distributed resources and real-time IoT data, addresses latency, bandwidth, and privacy challenges faced by central cloud systems. However, it introduces operational and management complexities. ITIL, a globally recognised standard for IT service management, provides structured best practices for managing IT resources effectively. While widely used in centralised systems, its potential to address edge computing challenges remains underexplored. This thesis explores the synergy between ITIL and edge computing, proposing a novel framework that leverages ITIL principles to enhance operational efficiency in decentralised environments. Key contributions include a comprehensive analysis of ITIL framework components, identifying practices compatible with edge systems. An in-depth review of edge computing paradigm, architecture, challenges, and service management requirements is also provided. The thesis proposes a framework that aligns ITIL practices with edge-specific challenges, such as device heterogeneity and system reliability. Integration of ITIL practices with edge-specific technologies ensures scalability and adaptability. Experimental results demonstrate significant improvements in key performance metrics. By bridging ITIL and edge computing, this research offers a scalable framework for organisations to optimise edge deployments while maintaining high service quality. It also advances IT service management and lays the groundwork for future developments, such as integrating AI and predictive analytics into edge systems.