Chapter 7: Case Studies and Practical Applications
Abstract
This chapter explores the transformative impact of edge computing on data processing, analysis and action, moving computation and storage closer to data sources. It examines six major sectors—manufacturing, IoT retail, healthcare, telecommunications, autonomous vehicles, and smart cities—highlighting the practical effects of edge computing on operational efficiency, decision-making, and innovation. Through real-world case studies, the chapter illustrates how edge computing reshapes these industries, driving advancements and offering solutions to unique challenges within each sector.
📝 Practice Questions
1. How does edge computing improve operational efficiency in the manufacturing sector?
2. What are the key benefits of edge computing for IoT ecosystems, particularly in terms of latency and data security?
3. Describe the role of edge computing in enhancing real-time patient monitoring anddiagnostics in healthcare.
4. How does edge computing support the deployment and efficiency of 5G networks in the telecommunications industry?
5. What are the primary challenges of implementing edge computing in autonomous vehicles, and how are they addressed?
6. Discuss the impact of edge computing on public safety and resource management in smart cities.
7. How does edge computing facilitate predictive maintenance in manufacturing environments?
📘 Course Projects
1. Analyze and present a case study of a successful edge computing implementation in a specific industry.
2. Develop a predictive maintenance system for manufacturing using edge computing, and evaluate its performance in reducing downtime and improving productivity.
3. Investigate the integration of edge computing with IoT devices in a healthcare setting, focusing on real-time patient monitoring and data security.
4. Create a simulation model to compare the performance of edge computing vs. cloud computing in processing IoT data for autonomous vehicles.
5. Research and analyze the role of edge computing in enhancing 5G network performance and supporting emerging applications like AR and VR.
📚 Suggested Papers
1. Latif U Khan et al. "Edge-computing-enabled smart cities: A comprehensive survey". In: IEEE Internet of Things Journal 7. 10 (2020), pp. 10200–10232 | Paper.
2. Sidi Lu, Yongtao Yao, and Weisong Shi. "Collaborative learning on the edges: A case study on connected vehicles". In: 2nd USENIX Workshop on Hot Topics in Edge Computing (HotEdge 19), 2019 | Paper.
3. Shaoshan Liu et al. "Edge computing for autonomous driving: Opportunities and challenges". In: Proceedings of the IEEE 107. 8 (2019), pp. 1697–1716 | Paper.