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Title	Data Aggregation Challenges In Fog Computing
ID_Doc	17134
Authors	Shahzad M.; Panneerselvam J.; Liu L.; Zhai X.
Year	2019
Published	Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019
DOI	http://dx.doi.org/10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00306
Abstract	Internet of Things (IoT) is on the raise and has become an integral part of our daily activities. Cloud Computing has been serving as an effective platform to IoT application that host data execution at the back-end server at the datacentres. The extent of IoT to mission critical delay intolerant applications require immediate responses from the providers. While the traditional Cloud infrastructure incurs unavoidable process delays, Fog Computing can effectively mitigate such delays to serve latency sensitive applications with reduced energy consumption. However, the success of the Fog architecture relies on effective data management both during transmission and execution. To this end, this paper discusses the advantages of Fog computing over Clouds in addressing energy and time constraints of IoT application, uncovers the challenges faced by data aggregation in Fog computing. An important contribution of this paper is the review on the data aggregation strategies and a recommended hybrid data aggregation scheme for Fog based IoT applications. © 2019 IEEE.
Author Keywords	Cloud computing; Data aggregation; Fog computing; Internet of things

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