Optimizing task offloading and resource allocation in edge-cloud networks: a DRL approach

Optimizing task offloading and resource allocation in edge-cloud networks: a DRL approach

Abstract Edge-cloud computing is an emerging approach in which tasks are offloaded from mobile devices to edge or cloud servers. However, Task offloading may result in increased energy consumption and delays, and the decision to offload the task is dependent on various factors such as time-varying r...

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Bibliographic Details
Main Authors: Ihsan Ullah, Hyun-Kyo Lim, Yeong-Jun Seok, Youn-Hee Han
Format: Article
Language:English
Published: SpringerOpen 2023-07-01
Series:Journal of Cloud Computing: Advances, Systems and Applications
Subjects:
Edge-cloud computing
Task offloading
Resource allocation
Deep Reinforcement learning
Markov decision process (MDP)
Online Access:https://doi.org/10.1186/s13677-023-00461-3

Internet

https://doi.org/10.1186/s13677-023-00461-3

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