Resource scheduling for delay-sensitive application in three-layer fog-to-cloud architecture

In order to solve the problem of resource constraints of mobile devices, fog computing is proposed to improve WAN delay for delay-sensitive and resource-intensive applications. To utilize the resource of fog-to-cloud efficiently and provide good quality-of-service in terms of delay and service failure probability, an improved three-layer fog-to-cloud architecture and schedule fit algorithm are proposed. Three-layer fog-to-cloud architecture can provide computing resource and transmission delay according to the delay sensitivity of applications, which uses computing resource of fog-to-cloud efficiently and improves service delay. Simulation results validate the effectiveness and efficiency of the proposed schedule fit algorithm and show that schedule fit algorithm outperforms the existing algorithms, i.e., the conventional cloud schedule algorithm, random schedule algorithm and first fit algorithm.