Research Article
Design Cloud-Fog Systems Using Heuristic Solutions on the Energy of IoT Devices
@INPROCEEDINGS{10.1007/978-3-030-93179-7_17, author={Nguyen Thanh Tung}, title={Design Cloud-Fog Systems Using Heuristic Solutions on the Energy of IoT Devices}, proceedings={Context-Aware Systems and Applications. 10th EAI International Conference, ICCASA 2021, Virtual Event, October 28--29, 2021, Proceedings}, proceedings_a={ICCASA}, year={2022}, month={1}, keywords={IoT Cloud-Fog system Battery constraint Operation time Linear programming}, doi={10.1007/978-3-030-93179-7_17} }- Nguyen Thanh Tung
Year: 2022
Design Cloud-Fog Systems Using Heuristic Solutions on the Energy of IoT Devices
ICCASA
Springer
DOI: 10.1007/978-3-030-93179-7_17
Abstract
In the Cloud-Fog system paradigm, the IoT services take an important role. It is a service layer upper from the shared physical infrastructure layer. The actual implementation of service functions is a key aspect of increasing service operation. Deployment decisions need to address the resource requirements of the services, ensure that the services meet its QoS constraints while reducing the overall operating cost. Allocating resources in an inefficient operation will lead to less efficient of services and increase the number of physical servers to use while some of these having very low utilization rates.
In this paper, we investigate the problem of IoT devices deployment in Cloud- Fog system to provide the maximum operation time under the battery constraint of IoT devices. Although we can use Linear Programming (LP) to calculate the solution, we cannot run the LP in small IoT device, therefore heuristic algorithms are needed. Our trial shows that the approximate solution is far better than the random solution.
