In the wireless Internet of Things (IoT) networks with resource-constrained devices, fog
computing has been introduced to deal with the computation-intensive applications at the
edges of the networks. While fog computing decreases the computation delay and fronthaul
traffic data, it also brings the severe challenge on complex resource allocation of the
available computation and communication resources under the stringent quality of service
(QoS) requirements. In this paper, we investigate the problem of tasks scheduling and …

Growing popularity of smart devices and 5G Internet, loT technology has also developed.
The increase in the number of smart objects has led to an increase in data volumes and
computational loads on a large scale. For this reason, cloud computing is used as a solution
for this amount of data. However, given the importance of service quality, the cloud
computing solution may not be responsive to latency-sensitive requests. Allocating
resources in cloudy computing also reduces the cost of latency. Dynamic programming has …