Integrative Cloud to Mist Computing: Architectures, Applications, and Innovations in Data Engineering
摘要
This chapter delves into the evolving landscape of Cloud, Fog, Edge, and Mist computing paradigms within the domain of data engineering, highlighting their pivotal role in enabling scalable, distributed, and intelligent processing systems. By dissecting the architectural nuances, it offers insights into how these computing layers interplay to foster a resilient and efficient data infrastructure. The discussion extends to real-world applications spanning across various sectors, including healthcare, smart agriculture, and automobile, underlining the transformative potential of these technologies in harnessing big data for real-time decision-making. Furthermore, the chapter explores cutting-edge innovations that are shaping the future of networking and communication, setting the stage for a new era of cyber-physical systems and IoT ecosystems. Through this comprehensive examination, the chapter aims to equip readers with a holistic understanding of the current trends and future directions in cloud to mist computing.