Abstract
The growing number of IoT devices generates a huge amount of data that are generally processed by the Cloud datacenter. However, it results in inordinate delay for time-critical applications due to network intricacies. Fog computing has evolved in recent which provides similar facilities as of Cloud though in a reduced manner. In order to provide the desired quality of service to the IoT users, it is essential to classify and allocate Fog-Cloud resources optimally to the time-critical requests. In this work, we have developed an analytical model focusing on the design mechanism approach and optimal policies for the allocation and offloading of real-time tasks that results in overall time minimization.
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Yadav, P., Vidyarthi, D.P. (2022). Analyzing the Behavior of Real-Time Tasks in Fog-Cloud Architecture. In: Woungang, I., Dhurandher, S.K., Pattanaik, K.K., Verma, A., Verma, P. (eds) Advanced Network Technologies and Intelligent Computing. ANTIC 2021. Communications in Computer and Information Science, vol 1534. Springer, Cham. https://doi.org/10.1007/978-3-030-96040-7_18
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DOI: https://doi.org/10.1007/978-3-030-96040-7_18
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