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Fog computing is mainly proposed for IoT applications that are geospatially distributed, large-scale, and latency sensitive. This poses new research challenges in real-time and scalable provisioning of IoT services distributed across Fog-Cloud computing platforms. Data-centric IoT services, as a dominant type of IoT services in large-scale deployments, require design solutions to speed up data processing...
The convergence of Internet of Things (IoT) and the Cloud has significantly facilitated the provision and management of services in large-scale applications such as smart cities. With a huge number of IoT services accessible through clouds, it is very important to model and expose cloud-based IoT services in a scalable manner, promising easy and realtime delivery of smart city services. The existing...
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