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| Title | A Research On Data Rate And Computation Offloading In Joint Optimization For Fog Computing |
|---|---|
| ID_Doc | 4076 |
| Authors | Bai W.; Ma Z. |
| Year | 2021 |
| Published | Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS, 2021-August |
| DOI | http://dx.doi.org/10.1109/ICSESS52187.2021.9522320 |
| Abstract | Fog computing provides low-latency and low-energy computing services for user devices and is widely used in many fields, such as industry, smart cities, and smart transportation. However, the data rate is an important metric in the information field that has been little studied by previous researches. In this paper, we investigate the relationship between the data rate and the cost, the data rate and the fog-cloud resource utilization in different scenarios in joint computation offloading. Through extensive simulation experiments, it is found that the cost in the energy-sensitive scenario is the lowest among the three scenarios, and the resource utilization of cloud computing keeps rising and that of fog computing keeps falling as the data rate increases. This provides a basis for the deployment and scheduling of fog-cloud resources in the future. © 2021 IEEE. |
| Author Keywords | computing offloading; data rate; edge computing; fog computing; joint optimization |
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