An Auction-Based Bid Prediction Mechanism for Fog-Cloud Offloading Using Q-Learning
In the fog computing paradigm, if the computing resources of an end device are insufficient, the user’s tasks can be offloaded to nearby devices or the central cloud. In addition, due to the limited energy of mobile devices, optimal offloading is crucial. The method presented in this paper is based...
Saved in:
| Main Authors: | Reza Besharati, Mohammad Hossein Rezvani, Mohammad Mehdi Gilanian Sadeghi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2023/5222504 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multiobjective Offloading Optimization in Fog Computing Using Deep Reinforcement Learning
by: Hojjat Mashal, et al.
Published: (2024-01-01) -
Fog Offloading and Task Management in IoT-Fog-Cloud Environment: Review of Algorithms, Networks, and SDN Application
by: Mohammad Reza Rezaee, et al.
Published: (2024-01-01) -
The status analysis of bidding and auction land in Hangzhou
by: SHEN Bing-ming, et al.
Published: (2002-07-01) -
Corrections to “Fog Offloading and Task Management in IoT-Fog-Cloud Environment: Review of Algorithms, Networks and SDN Application”
by: Mohammad Reza Rezaee, et al.
Published: (2025-01-01) -
Flexible Combinatorial-Bids-Based Auction for Cooperative Target Assignment of Unmanned Aerial Vehicles
by: Tianning Wang, et al.
Published: (2024-10-01)