Convergence of Modern Technologies for Data Architectures
Wakeel Ahmad, V. Arulkumar, K Parthiban, E. Bhuvaneswari, Mohammad Arif, K S Guruprakash
Abstract
The rapid growth of the Internet of Things (IoT) and smart gadgets has affected every industry. Services must be reliable, high-performing, scalable, and ubiquitous for the IoT and related devices. SDN, Cloud IoT, Cloudlet, Mobile Computing (MC), Transparent Computing (TC), and Dew Computing are novel paradigms that achieve these attributes (DC). Connectivity, latency, and bandwidth limit cloud-IoT integration. Fog and Edge Computational (EC), which has no storage or computing resources in the cloud but is closer to the data source, emerged from the need for cloud-IoT communication. The hierarchical cross-layer edge-fog-cloud (E-F-C) design optimizes solutions and computes and analyzes big data and AI. To comprehend modern reference designs, building blocks, applications, and computing standards, this chapter discusses several paradigms and details the hierarchical edge-fog cloud. We also examine privacy-preserving, decentralized, and communal analytics in edge, fog, and cloud computing communication (CC). Finally, the data fabric, open issues, and future directions are described.