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Fog Computing and the Internet of Things: A Review
by
Walters, Robert
, Atlam, Hany
, Wills, Gary
in
Architectural engineering
/ Big Data
/ Cloud computing
/ cloud of things
/ Data processing
/ fog as a service
/ fog computing
/ International conferences
/ Internet of Things
/ Investigations
/ IoT with fog computing
/ Privacy
/ Sensors
/ Virtual reality
2018
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Fog Computing and the Internet of Things: A Review
by
Walters, Robert
, Atlam, Hany
, Wills, Gary
in
Architectural engineering
/ Big Data
/ Cloud computing
/ cloud of things
/ Data processing
/ fog as a service
/ fog computing
/ International conferences
/ Internet of Things
/ Investigations
/ IoT with fog computing
/ Privacy
/ Sensors
/ Virtual reality
2018
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Do you wish to request the book?
Fog Computing and the Internet of Things: A Review
by
Walters, Robert
, Atlam, Hany
, Wills, Gary
in
Architectural engineering
/ Big Data
/ Cloud computing
/ cloud of things
/ Data processing
/ fog as a service
/ fog computing
/ International conferences
/ Internet of Things
/ Investigations
/ IoT with fog computing
/ Privacy
/ Sensors
/ Virtual reality
2018
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Journal Article
Fog Computing and the Internet of Things: A Review
2018
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Overview
With the rapid growth of Internet of Things (IoT) applications, the classic centralized cloud computing paradigm faces several challenges such as high latency, low capacity and network failure. To address these challenges, fog computing brings the cloud closer to IoT devices. The fog provides IoT data processing and storage locally at IoT devices instead of sending them to the cloud. In contrast to the cloud, the fog provides services with faster response and greater quality. Therefore, fog computing may be considered the best choice to enable the IoT to provide efficient and secure services for many IoT users. This paper presents the state-of-the-art of fog computing and its integration with the IoT by highlighting the benefits and implementation challenges. This review will also focus on the architecture of the fog and emerging IoT applications that will be improved by using the fog model. Finally, open issues and future research directions regarding fog computing and the IoT are discussed.
Publisher
MDPI AG
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