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Edge Computing: Vision and Challenges

Weisong Shi; Jie Cao; Quan Zhang; Youhuizi Li; Lanyu Xu · IEEE Internet of Things Journal · 2016

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The proliferation of Internet of Things (IoT) and the success of rich cloud services have pushed the horizon of a new computing paradigm, edge computing, which calls for processing the data at the edge of the network. Edge computing has the potential to address the concerns of response time requirement, battery life constraint, bandwidth cost saving, as well as data safety and privacy. In this paper, we introduce the definition of edge computing, followed by several case studies, ranging from cloud offloading to smart home and city, as well as collaborative edge to materialize the concept of edge computing. Finally, we present several challenges and opportunities in the field of edge computing, and hope this paper will gain attention from the community and inspire more research in this direction.

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APA 7

Shi, W, Cao, J, Zhang, Q, Li, Y, & Xu, L. (2016). Edge Computing: Vision and Challenges. https://doi.org/10.1109/jiot.2016.2579198

MLA

Shi, Weisong, et al. "Edge Computing: Vision and Challenges." 2016. https://doi.org/10.1109/jiot.2016.2579198.

Chicago

Shi, Weisong, Jie Cao, Quan Zhang, Youhuizi Li, and Lanyu Xu. 2016. "Edge Computing: Vision and Challenges.". https://doi.org/10.1109/jiot.2016.2579198.

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Shi, W. et al. 2016, Edge Computing: Vision and Challenges, IEEE Internet of Things Journal, available at: https://doi.org/10.1109/jiot.2016.2579198 [Accessed 8 Aug. 2026].

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Title
Edge Computing: Vision and Challenges
Author / contributors
Weisong Shi; Jie Cao; Quan Zhang; Youhuizi Li; Lanyu Xu
Publisher
IEEE Internet of Things Journal
Publication year
2016
Language
English

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