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Edge Computing: Vision and Challenges

IEEE Internet of Things Journal · 2016 · Vol. 3(5) · pp. 637–646
Weisong ShiJie CaoQuan ZhangYouhuizi LiLanyu Xu

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.

IoT and Edge/Fog ComputingContext-Aware Activity Recognition SystemsIoT Networks and ProtocolsEdge computingComputer scienceCloud computingEnhanced Data Rates for GSM EvolutionEdge deviceMobile edge computingBandwidth (computing)The InternetDistributed computingComputer network

Funding

  • Cisco Systems
Citations
7,597
FWCI
457.94
field-weighted impact
References
37
Percentile
100%
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Citations per year
References
A view of cloud computing
Communications of the ACM · 2010 · 8,905 citations
MapReduce
Communications of the ACM · 2008 · 18,445 citations
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