C2 · Conference Paper
Published
L3Fog: Fog Node Selection and Task Offloading Framework for Mobile IoT
IEEE INFOCOM — IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pp. 1-6, 2022
Abstract
The abstract for this paper is available on the publisher's page. Read it on the publisher's site (opens in a new tab).
Research Highlights
- A task offloading and migration scheme for mobile end users.
- Prediction of end-users' location is performed using a linear regression based learning approach.
- Target fog node selection is performed by mapping the fog nodes available near the predicted area, and the best fog node is chosen based on a utility function.
Presentation
A 5-slide visual summary of this paper. Use the arrows, the dots or the left/right arrow keys to move between slides.




