Book Chapter10.4018/978-1-6684-5700-9.ch005
Distributed Intelligence Platform to the Edge Computing
Ke Zhou
- 01 Apr 2022
- pp 78-96
1
TL;DR: In this article , the main differences between edge, fog, and cloud computing; pros and cons; and various applications, namely, smart cars and traffic control in transportation scenario, visual and surveillance security, connected vehicle, and smart ID card.
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Abstract: With the explosion of information, devices, and interactions, cloud design on its own cannot handle the flow of data. While the cloud provides us access to compute, storage, and even connectivity that we can access easily and cost-effectively, these centralized resources can create delays and performance issues for devices and information that are far from a centralized public cloud or information center source. Internet of things-connected devices are a transparent use for edge computing architecture. In this chapter, the author discusses the main differences between edge, fog, and cloud computing; pros and cons; and various applications, namely, smart cars and traffic control in transportation scenario, visual and surveillance security, connected vehicle, and smart ID card.
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Citations
Design a Crime Detection System based Fog Computing and IoT
TL;DR: In this article , the authors proposed a smart fire-alarm system made of a fire sensor and a sound sensor that can both detect fire and noise as well as the status of the analog fire alarm system to ascertain whether the fire alarm is operational.
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Fog Computing: A Platform for Internet of Things and Analytics
Flavio Bonomi,Rodolfo A. Milito,Preethi Natarajan,Jiang Zhu +3 more
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TL;DR: This chapter proposes a hierarchical distributed architecture that extends from the edge of the network to the core nicknamed Fog Computing, and pays attention to a new dimension that IoT adds to Big Data and Analytics: a massively distributed number of sources at the edge.
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A survey on mobile edge computing
Arif Ahmed,Ejaz Ahmed +1 more
- 01 Jan 2016
TL;DR: In this paper, some of the promising real time Mobile Edge Computing application scenarios are discussed and a state-of-the-art research efforts on Mobile Edge computing domain is presented.
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