Online dynamic multi-user computation offloading and resource allocation for HAP-assisted MEC: an energy efficient approach
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Online dynamic multi-user computation offloading and resource allocation for HAP-assisted MEC: an energy efficient approach ; volume:13 ; number:1 ; day:30 ; month:4 ; year:2024 ; pages:1-12 ; date:12.2024
Journal of Cloud Computing ; 13, Heft 1 (30.4.2024), 1-12, 12.2024
- Creator
-
Chen, Sihan
Jiang, Wanchun
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s13677-024-00645-5
- URN
-
urn:nbn:de:101:1-2407122104061.803620453611
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:48 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Chen, Sihan
- Jiang, Wanchun
- SpringerLink (Online service)
Other Objects (12)
A deep reinforcement approach for computation offloading in MEC dynamic networks
Joint computation offloading and deployment optimization in multi-UAV-enabled MEC systems
Decentralized computation offloading for multi-user mobile edge computing: a deep reinforcement learning approach
Joint computation offloading and resource allocation strategy for D2D-assisted and NOMA-empowered MEC systems
Offloading Computation to Untrusted Clients
Collaborative offloading for UAV-enabled time-sensitive MEC networks
COPSA: a computation offloading strategy based on PPO algorithm and self-attention mechanism in MEC-empowered smart factories
Efficient microservices offloading for cost optimization in diverse MEC cloud networks
Distributed energy-efficient and secure offloading in air-to-ground MEC networks
Framework for Computation Offloading in Mobile Cloud Computing
Computation offloading technique for energy efficiency of smart devices
Computation offloading for fast and energy-efficient edge computing
A deep reinforcement approach for computation offloading in MEC dynamic networks
Joint computation offloading and deployment optimization in multi-UAV-enabled MEC systems
Decentralized computation offloading for multi-user mobile edge computing: a deep reinforcement learning approach
Joint computation offloading and resource allocation strategy for D2D-assisted and NOMA-empowered MEC systems
Offloading Computation to Untrusted Clients
Collaborative offloading for UAV-enabled time-sensitive MEC networks
COPSA: a computation offloading strategy based on PPO algorithm and self-attention mechanism in MEC-empowered smart factories
Efficient microservices offloading for cost optimization in diverse MEC cloud networks
Distributed energy-efficient and secure offloading in air-to-ground MEC networks
Framework for Computation Offloading in Mobile Cloud Computing
Computation offloading technique for energy efficiency of smart devices
Computation offloading for fast and energy-efficient edge computing
A deep reinforcement approach for computation offloading in MEC dynamic networks
Joint computation offloading and deployment optimization in multi-UAV-enabled MEC systems
Decentralized computation offloading for multi-user mobile edge computing: a deep reinforcement learning approach
Joint computation offloading and resource allocation strategy for D2D-assisted and NOMA-empowered MEC systems
Offloading Computation to Untrusted Clients
Collaborative offloading for UAV-enabled time-sensitive MEC networks
COPSA: a computation offloading strategy based on PPO algorithm and self-attention mechanism in MEC-empowered smart factories
Efficient microservices offloading for cost optimization in diverse MEC cloud networks
Distributed energy-efficient and secure offloading in air-to-ground MEC networks
Framework for Computation Offloading in Mobile Cloud Computing
Computation offloading technique for energy efficiency of smart devices