… To address these challenges, this article proposes an IoT-enabled big data analytics
framework for edge-centric computing. In the proposed scheme, an edge intelligence module is …

… On the other hand, edge computing is limited in terms of computational power, and thus, is …
combine edge and cloud computing for IoT data analytics by taking advantage of edge nodes …

… We split the related discussion into two main areas, focusing on edge intelligence and
analytics for processing video streams in the uplink (Section IV), as well as edge caching and …

… that minimizes the V value in a multi-computing node edge-data center computing network.
… Given the different number of edge nodes, the V values of the objective function obtained by …

… Video analytics deployments stream the videos to edge servers [14… Edge computation is
preferred for video analytics as it does not require expensive network links to stream videos to …

… amount of data processing to happen on edge devices. This paper presents VergeDB, a
database for adaptive and task-aware compression of IoT data that supports complex analytical …

… distributed live video analytics system based on the smart camera-edge cluster architecture,
… , high-throughput, and scalable live video analytics. The key behind the design of Distream …

… as fog or edge devices. Edge analytics sdk is now also available on the IBM Watson IoT
platform [13]. The Watson IoT platform edge analytics agent integrates edge devices and data …

… in edge-based video analytics systems, including edge capacity limitation, unknown
network variation, intrusive dynamics of video contents. Our algorithm is developed based on …

… into edge computing architecture design. In summary, utilization of edge computing in video
analytics can … Some special characteristics from video content or edge servers can be further …