Edge/Fog Computing: An Overview and Insight into Research Directions

Title

Edge/Fog Computing: An Overview and Insight into Research Directions

Creator

Thomas P.; Jose D.V.

Description

The rapid proliferation of data from applications including IoT, and on-demand access to data have increased dependency on cloud computing, which helps to minimize the overhead related to data storage and maintenance. Applications such as IoT, industrial control, etc. generate data which are highly time-critical in most scenarios. The cloud platform offers permanent storage of this massive amount of data but with comparatively less focus on time-sensitivity. Edge/fog computing are extensions of the cloud computing paradigm and require less response time for time-sensitive data. The edge/fog brings processing and storage closer to the edge of the network, thereby reducing network traffic, delay, and latency. It acts as an intermediate layer between the end devices and the cloud platform, for data collection, offloading, processing, and data management. This chapter addresses the need for fog computing, presents the design model for edge/fog computing, and discusses applications and open issues of implementation. The three-layered network model, the services provided by the edge/fog computing, and a few research challenges of implementation will also be discussed. 2024 Taylor & Francis Group, LLC.

Source

Machine Intelligence: Computer Vision and Natural Language Processing, pp. 47-64.

Date

2023-01-01

Publisher

CRC Press

Coverage

Thomas P., Department of Computer Science, Christ University, Bangalore, India; Jose D.V., Department of Computer Science, Christ University, Bangalore, India

Rights

Restricted Access

Relation

ISBN: 978-100096031-0; 978-103220199-3

Format

Online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.1201/9781003424550-3

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