Abstract

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.

Keywords

Edge computingComputer scienceCloud computingEnhanced Data Rates for GSM EvolutionEdge deviceMobile edge computingBandwidth (computing)The InternetDistributed computingComputer networkTelecommunicationsWorld Wide WebOperating system

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Publication Info

Year
2016
Type
article
Volume
3
Issue
5
Pages
637-646
Citations
7191
Access
Closed

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Cite This

Weisong Shi, Jie Cao, Quan Zhang et al. (2016). Edge Computing: Vision and Challenges. IEEE Internet of Things Journal , 3 (5) , 637-646. https://doi.org/10.1109/jiot.2016.2579198

Identifiers

DOI
10.1109/jiot.2016.2579198