Abstract
AbstractThe connectivity among billions of real and virtual things to the Internet with unique identities, brought the term Internet of Things (IoT) which is constantly changing the world. IoT penetration in major services is making our lives easier by managing things from anywhere at any time. Consequently, this ubiquitousness has vigorously led to exponential increase of data, questioning its efficient storage and analysis. However, Cloud Computing has been playing a substantial role to manage the colossal army of data but becomes inefficient for time-sensitive applications like Smart Traffic Monitoring. Perhaps, this would result in cloud overloading and brings bandwidth of network at saturation point. This necessitates the use of fog computing with Smart systems to aid efficient utilization of cloud computing paradigm. Fog computing is a decentralized computing paradigm that extends cloud services to the edge of the network. In this article, Fog and Cloud computing based integrated solutions for smart traffic monitoring are studied, to overcome the downsides of real-time analytics.KeywordsIoTFog computingCloud computingSmart trafficMonitoring
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