An Optimal Allocation of Tracking Tasks in a SW/HW Fog/Cloud Based Distributed Video Surveillance System

Ugo Sbai (1) , Samy Meftali (1) , Djamel Aouali

1 CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189

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.

Mots clés: Index Terms—Smart camera; Power consumption; processing time; tracking; task assignment; Fog; Cloud; FPGA

Domaines: Architectures Matérielles [cs.AR]

Ugo Sbai, Samy Meftali, Djamel Aouali. An Optimal Allocation of Tracking Tasks in a SW/HW Fog/Cloud Based Distributed Video Surveillance System. Journal of Communications, In press. ⟨hal-01716521⟩