Abstract

Summary form only given, as follows. A record of the panel discussion was not made available for publication as part of the conference proceedings. With the ever-increasing momentum of the Internet of Things (IoT), new computing paradigms have emerged, such as fog computing, in order to solve the problem of the inherent latency of the remote cloud resources. The huge amount of data generated by IoT sensors and devices typically requires processing in a real-time manner, which cloud resources cannot usually provide due to their distance from the IoT layer. Fog computing extends the cloud closer to where the IoT data are generated in an attempt to meet the requirements of low latency. Resource allocation and scheduling of the real-time applications on the multi-tier resources are particularly important issues in achieving good performance. In this keynote, we will shed light on resource allocation and scheduling techniques for real-time applications, leveraging the power of cloud and fog computing. We will present novel approaches that have been proposed in the literature and we will provide open research challenges and future directions.

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