A Fog-Based Retrieval of Real-Time Data for Health Applications

Title

A Fog-Based Retrieval of Real-Time Data for Health Applications

Creator

Diana Jeba Jingle I.; Mano Paul P.

Description

Fog computing is an emerging technology that offers high-quality cloud services by providing high bandwidth, low latency, and efficient computational power and storage capacity. Although cloud computing is an efficient solution so far to store and retrieve the huge data of IoT devices, it is expected to limit its performance due to low latency and storage capacity. Fog computing addresses these limitations by extending its services to the cloud at the edge of the network. In this paper, we use a fog computing network approach for efficiently retrieving the real-time patient data. The performance of our proposed approach has been compared with the cloud computing approach in terms of retrieval time of real-time data. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Source

Advances in Intelligent Systems and Computing, Vol-1333 AISC, pp. 155-160.

Date

2021-01-01

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

Adafruit; Fog computing; Internet of things; Raspberry Pi

Coverage

Diana Jeba Jingle I., Department of CSE, Christ (Deemed to be University), Bangalore, India; Mano Paul P., Department of CSE, Alliance University, Bangalore, India

Rights

Restricted Access

Relation

ISSN: 21945357; ISBN: 978-981336965-8

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1007/978-981-33-6966-5_16

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104793722&doi=10.1007%2f978-981-33-6966-5_16&partnerID=40&md5=fae12422115c8e05c97cc0a380f8046e