Publication details
Fog Based Energy Efficient Process Framework for Smart Building
| Authors | |
|---|---|
| Year of publication | 2021 |
| Type | Article in Proceedings |
| Conference | EASE 2021: Evaluation and Assessment in Software Engineering |
| MU Faculty or unit | |
| Citation | |
| Web | https://doi.org/10.1145/3463274.3463364 |
| Doi | http://dx.doi.org/10.1145/3463274.3463364 |
| Keywords | Internet of Things; Fog computing; Energy consumption in fog computing; smart building; fog node |
| Description | The world is facing an energy crisis. The smart building concept is presented by many researchers using IoT devices that do not have sufficient computational power to compute the data to decide about the results. According to an estimation, there will be 50 billion IoT devices in 2020. Most IoT devices send data to the cloud for processing. Latency and network usage will be increased in cloud servers because the cloud servers will not be able to handle millions of requests spontaneously. In this paper, we have proposed a framework that minimizes latency and energy consumption in cloud computing. The proposed framework uses edge computing and most of the processing is performed on fog nodes. The framework contributes significantly to energy saving by supporting behavioral and physical changes in the cloud network. |
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