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Fog vs. Cloud Computing Architecture

Fog vs. Cloud Computing Architecture

Shweta Kaushik, Charu Gandhi
Copyright: © 2021 |Pages: 18
ISBN13: 9781799853398|ISBN10: 179985339X|EISBN13: 9781799853404
DOI: 10.4018/978-1-7998-5339-8.ch020
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MLA

Kaushik, Shweta, and Charu Gandhi. "Fog vs. Cloud Computing Architecture." Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing, edited by Information Resources Management Association, IGI Global, 2021, pp. 452-469. https://doi.org/10.4018/978-1-7998-5339-8.ch020

APA

Kaushik, S. & Gandhi, C. (2021). Fog vs. Cloud Computing Architecture. In I. Management Association (Ed.), Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing (pp. 452-469). IGI Global. https://doi.org/10.4018/978-1-7998-5339-8.ch020

Chicago

Kaushik, Shweta, and Charu Gandhi. "Fog vs. Cloud Computing Architecture." In Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing, edited by Information Resources Management Association, 452-469. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-5339-8.ch020

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Abstract

Cloud computing has emerged as a new technology that allows the users to acquire resources at anytime, anywhere by connecting with internet. It provides the options to users for renting of infrastructure, storage space, and services. One service issue that affects the QoS of cloud computing is network latency while dealing with real-time application. In this, the user interacts directly with application but delays in receiving the services, and jitter delay will encourage the user to think about this. In today's world, clients are moving towards the IoT techniques, enabling them to connect all things with internet and get their services from cloud. This advancement requires introduction of new technology termed as “fog computing.” Fog computing is an extension of cloud computing that provides the service at the edge of the network. Its proximity to end users, mobility support, and dense distribution reduces the service latency and improves QoS. This fog model provides the prosperity for advertisement and entertainment and is well suited for distributed data model.

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