Edge Computing is termed as an important paradigm utilized to address the problems related to latency, bandwidth, and privacy. It is required to create a taxonomy that offers a thorough understanding of the various aspects and components of edge computing . This chapter focuses on the taxonomy of edge computing that captures its various aspects including deployment models, application domains, infrastructure, and services. The chapter also discusses the components such as edge servers, edge networks, edge analytics, and edge devices. The range of edge computing-enabled applications discussed in the chapter include as Internet of Things, autonomous driving, augmented reality, video surveillance, and more. By providing the systematic organization of edge computing concepts, the taxonomy helps researchers, decision-makers to navigate the landscape of edge computing effectively (Varghese et al., 2016). It facilitates better understanding of different elements of edge computing and their relationship. It facilitates a better understanding of the relationships and interdependencies between different elements of edge computing, fostering knowledge sharing, collaboration, and innovation. This chapter provides an discussion on the taxonomy of edge computing, offering a structured framework for comprehending the various dimensions and elements of this evolving technique.