Dynamic voltage scaling based energy-minimized partial task offloading in fog networks
With the dynamic voltage scaling (DVS) technology, the terminal node (TN) can dynamically adjust its computational speed, thus providing a new way to save energy during task offloading in fog computing. Focusing on the scenario of one TN and multiple fog nodes (FNs), this paper proposed an Energy-Mi...
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| Veröffentlicht in: | Wireless networks 2022-11, Vol.28 (8), p.3337-3347 |
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| creator | Qin, Yuancheng Yao, Yingbiao Feng, Wei Li, Pei Xu, Xin |
| description | With the dynamic voltage scaling (DVS) technology, the terminal node (TN) can dynamically adjust its computational speed, thus providing a new way to save energy during task offloading in fog computing. Focusing on the scenario of one TN and multiple fog nodes (FNs), this paper proposed an Energy-Minimized Partial Task Offloading (EMPTO) scheme for the first time to reduce the overall energy consumption based on DVS technology. Firstly, by modeling the energy consumption and processing delay of task offloading, we formulated the problem of minimizing energy consumption. Then, using the variable substitution method, we transformed this energy minimization problem into a univariate optimization problem about the TN’s computational speed. By solving this problem, EMPTO gets the optimal TN’s computational speed, task offloading size between each pair of TN and FN, and the overall energy consumption. Finally, EMPTO selects the offloading scheme with the lowest overall energy consumption as the final scheme. Theoretical proof and simulation results show that EMPTO can achieve the minimum energy consumption by DVS technology under delay constraint. |
| doi_str_mv | 10.1007/s11276-022-03052-3 |
| format | Article |
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| subjects | Cloud computing Communications Engineering Computation offloading Computer Communication Networks Electric potential Electrical Engineering Energy consumption Engineering IT in Business Networks Optimization Original Paper Voltage Wireless networks |
| title | Dynamic voltage scaling based energy-minimized partial task offloading in fog networks |
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