April 2020
Intermediate to advanced
608 pages
18h 17m
English
Content preview from Fog Computing
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17Time-Critical Fog Computing for Vehicular Networks
Ahmed Chebaane1, Abdelmajid Khelil1, and Neeraj Suri2
1Department of Software Engineering, Landshut University of Applied Sciences, Landshut, Germany
2Department of Computer Science, Lancaster University, UK
17.1 Introduction
Over the past few years, Internet of Things (IoT) has undoubtedly become an integral part of our quotidian lives connecting objects such as vehicles, machines, and products with various users through the Internet.
Cloud computing has been proposed as a promising approach for IoT applications/services to virtualize things and to deal with analytics, storage, and computation of data generated from IoT devices. This approach is viable in ample cases such as executing the application in the cloud for saving battery lifetime, offering on-demand data storage to the end-users, etc. In the automotive field, cloud computing and IoT support building smart vehicles by facilitating communication across vehicles, infrastructures, and other connected devices, which may improve road safety as well as traffic efficiency [1].
Dew computing, mobile cloud computing (MCC), and vehicular cloud computing (VCC) are variations of cloud computing. When cloud applications assume an active participation of the end devices along with the cloud in the execution of services and applications, cloud computing is also referred to as dew computing [2]. MCC [3] has been introduced to combine both paradigms mobile computing and cloud computing ...
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