Archana Nair¹ and Chandrani Singh²*

¹Assistant Professor, Sinhgad Institute of Business Administration and Research, Pune, India
²Post-Doctoral Researcher in IT from Lincoln University Malaysia and Professor and Director - STES SIOM, Pune, India

*Corresponding Author: Chandrani Singh, Post-Doctoral Researcher in IT from Lincoln University Malaysia and Professor and Director - STES SIOM, Pune, India.

Received: March 10, 2022; Published: April 13, 2022

Abstract

Edge computing entails distributed and decentralized processing, localization, where the technology stack would remain the same but the operating system, the data storage unit, the network components and tools, the security mechanisms would reside and execute with efficiency on the restricted hardware.

Edge Intelligence on the other hand evolves from the intersection of Edge Computing and Artificial intelligence methodologies and associated technologies, concerning the perception of distributed data and IoT devices. 

Until recently 90 percent of the enterprise data was on the cloud, but in recent years the number has significantly dropped according to Gartner Research. Cloud and Edge are anticipated to supplement each other by optimizing cloud network traffic, reduce delays and enhance responses using the edge, and improvise on data processing and ensure scalability. This paper would address the usage of edge computing technologies in the segment of education with a focus on accessibility and availability of edu-resources and relevant learning management systems using edge nodes, that would ascertain uninterrupted and optimal utilization by the learners. Scenarios would also be presented that would highlight management and control of the software, the platforms, and related ed-infrastructures, to ensure continuous availability and also seamless delivery with restricted resource availability.

Keywords: Edge Nodes; Technology in Education; Analytics of Learning Technology; Case Studies