Matches in SemOpenAlex for { <https://semopenalex.org/work/W4285291846> ?p ?o ?g. }
- W4285291846 endingPage "10103" @default.
- W4285291846 startingPage "10088" @default.
- W4285291846 abstract "Classical edge computing algorithms assume that the execution time is always known in resource allocation. However, in practice, the execution time in the edge server is hard to estimate due to the complex environment, especially in Internet of Vehicles (IoV), which makes resource allocation a significant challenge. To address this problem, we propose an optimal resource allocation approach based on Federated Learning (FL). In our proposed approach, we consider both the delay and energy consumption. First, we assume that we have perfect knowledge about the execution time in the edge server, and we obtain the optimal CPU cycles which should be assigned to process 1-bit task. We also verify the Poisson property of the task arrival for each server pool in the edge server. Since we use Delay Energy Product (DEP) as our optimization target for resource allocation, we can derive the optimal balanced delay and energy performance in the scheduling. Next, we propose the Federated Learning based method to estimate the execution time in the edge server. Simulation results obtained demonstrate the effectiveness of our proposed approach." @default.
- W4285291846 created "2022-07-14" @default.
- W4285291846 creator A5002810652 @default.
- W4285291846 creator A5011523861 @default.
- W4285291846 creator A5017406532 @default.
- W4285291846 creator A5028757289 @default.
- W4285291846 creator A5065803398 @default.
- W4285291846 date "2022-09-01" @default.
- W4285291846 modified "2023-10-17" @default.
- W4285291846 title "Edge Computing-Enabled Internet of Vehicles: Towards Federated Learning Empowered Scheduling" @default.
- W4285291846 cites W1968578081 @default.
- W4285291846 cites W1977229344 @default.
- W4285291846 cites W1988302931 @default.
- W4285291846 cites W2023304789 @default.
- W4285291846 cites W2023380813 @default.
- W4285291846 cites W2025553036 @default.
- W4285291846 cites W2082011829 @default.
- W4285291846 cites W2116175219 @default.
- W4285291846 cites W2137100301 @default.
- W4285291846 cites W2155101824 @default.
- W4285291846 cites W2159062272 @default.
- W4285291846 cites W2216734013 @default.
- W4285291846 cites W2344423009 @default.
- W4285291846 cites W2345217075 @default.
- W4285291846 cites W2397723600 @default.
- W4285291846 cites W2416799949 @default.
- W4285291846 cites W2516316490 @default.
- W4285291846 cites W2536587200 @default.
- W4285291846 cites W2601195941 @default.
- W4285291846 cites W2605270919 @default.
- W4285291846 cites W2608841173 @default.
- W4285291846 cites W2747362881 @default.
- W4285291846 cites W2752144473 @default.
- W4285291846 cites W2761757319 @default.
- W4285291846 cites W2762586323 @default.
- W4285291846 cites W2767464531 @default.
- W4285291846 cites W2774764132 @default.
- W4285291846 cites W2787118002 @default.
- W4285291846 cites W2791851645 @default.
- W4285291846 cites W2796007514 @default.
- W4285291846 cites W2802528223 @default.
- W4285291846 cites W2891899936 @default.
- W4285291846 cites W2955611229 @default.
- W4285291846 cites W2962883027 @default.
- W4285291846 cites W2963000651 @default.
- W4285291846 cites W2964335916 @default.
- W4285291846 cites W2966753637 @default.
- W4285291846 cites W2975128548 @default.
- W4285291846 cites W2979427704 @default.
- W4285291846 cites W2998106326 @default.
- W4285291846 cites W3011132155 @default.
- W4285291846 cites W3011884107 @default.
- W4285291846 cites W3048697798 @default.
- W4285291846 cites W4251765081 @default.
- W4285291846 cites W914916633 @default.
- W4285291846 doi "https://doi.org/10.1109/tvt.2022.3182782" @default.
- W4285291846 hasPublicationYear "2022" @default.
- W4285291846 type Work @default.
- W4285291846 citedByCount "11" @default.
- W4285291846 countsByYear W42852918462022 @default.
- W4285291846 countsByYear W42852918462023 @default.
- W4285291846 crossrefType "journal-article" @default.
- W4285291846 hasAuthorship W4285291846A5002810652 @default.
- W4285291846 hasAuthorship W4285291846A5011523861 @default.
- W4285291846 hasAuthorship W4285291846A5017406532 @default.
- W4285291846 hasAuthorship W4285291846A5028757289 @default.
- W4285291846 hasAuthorship W4285291846A5065803398 @default.
- W4285291846 hasConcept C110875604 @default.
- W4285291846 hasConcept C111919701 @default.
- W4285291846 hasConcept C119599485 @default.
- W4285291846 hasConcept C120314980 @default.
- W4285291846 hasConcept C126255220 @default.
- W4285291846 hasConcept C127413603 @default.
- W4285291846 hasConcept C154945302 @default.
- W4285291846 hasConcept C162307627 @default.
- W4285291846 hasConcept C201995342 @default.
- W4285291846 hasConcept C206729178 @default.
- W4285291846 hasConcept C2778456923 @default.
- W4285291846 hasConcept C2780165032 @default.
- W4285291846 hasConcept C2780451532 @default.
- W4285291846 hasConcept C29202148 @default.
- W4285291846 hasConcept C31258907 @default.
- W4285291846 hasConcept C33923547 @default.
- W4285291846 hasConcept C41008148 @default.
- W4285291846 hasConcept C55416958 @default.
- W4285291846 hasConcept C74172769 @default.
- W4285291846 hasConceptScore W4285291846C110875604 @default.
- W4285291846 hasConceptScore W4285291846C111919701 @default.
- W4285291846 hasConceptScore W4285291846C119599485 @default.
- W4285291846 hasConceptScore W4285291846C120314980 @default.
- W4285291846 hasConceptScore W4285291846C126255220 @default.
- W4285291846 hasConceptScore W4285291846C127413603 @default.
- W4285291846 hasConceptScore W4285291846C154945302 @default.
- W4285291846 hasConceptScore W4285291846C162307627 @default.
- W4285291846 hasConceptScore W4285291846C201995342 @default.
- W4285291846 hasConceptScore W4285291846C206729178 @default.
- W4285291846 hasConceptScore W4285291846C2778456923 @default.
- W4285291846 hasConceptScore W4285291846C2780165032 @default.