Author
Ugo Sbai
Bio: Ugo Sbai is an academic researcher from Lille University of Science and Technology. The author has contributed to research in topics: Smart camera & Cloud computing. The author has co-authored 1 publications.
Topics: Smart camera, Cloud computing
Papers
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TL;DR: A novel and systematic approach for dynamic allocation of tasks in a video surveillance system using smart cameras and based on Cloud/Fog architecture is proposed, guaranteeing the best solution optimizing power consumption and communication cost over the system.
Abstract: In this paper we propose a novel and systematic approach for dynamic allocation of tasks in a video surveillance system using smart cameras and based on Cloud/Fog architecture. Tracking tasks arrive in the system in a random way and must be assigned to the available devices (cameras, Fog nodes and the Cloud). Our approach guarantees the best solution optimizing power consumption and communication cost over the system. The proposed methods uses an integer programming model and its effectiveness is shown on an application example.