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

open access: yesJournal of Cloud Computing: Advances, Systems and Applications, 2023
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 ...
Ihsan Ullah   +3 more
doaj   +1 more source

Effective Task Offloading Strategy Based on Heterogeneous Nodes [PDF]

open access: yesJisuanji kexue
In vehicular edge computing(VEC),how to use the limited network resources to implement efficient task unloading is a research hotspot in recent years.This paper focuses on task offloading in the heterogeneous node mode and designs an efficient task ...
FAN Xinggang, JIANG Xinyang, GU Wenting, XU Juntao, YANG Youdong, LI Qiang
doaj   +1 more source

Game-Theory-Based Task Offloading and Resource Scheduling in Cloud-Edge Collaborative Systems

open access: yesApplied Sciences, 2022
Task offloading and resource allocation are the major elements of edge computing. A reasonable task offloading strategy and resource allocation scheme can reduce task processing time and save system energy consumption.
Suzhen Wang   +3 more
doaj   +1 more source

Task offloading method of edge computing in IoT based on Deep Q Learning Algorithm

open access: yesJournal of Information and Telecommunication
To improve the efficiency of task offloading in edge computing of the Internet of Things, a multi-task offloading optimization model combining software definition network and dual depth Q network is proposed. First of all, the edge computing framework of
Zhenzhen Dong, Mingjian Zhang
doaj   +1 more source

Cross-domain task offloading and computing resource allocation for edge computation in industrial Internet of things

open access: yes物联网学报, 2020
In the industrial Internet of things,limited by the computing capacity of field devices,the task offloading based on edge computing can effectively alleviate the computing burden of field devices and provide low-latency computing services.Moreover ...
Peng ZHOU, Jincheng XU, Bo YANG
doaj   +2 more sources

Blockchain and RL-Based Secured Task Offloading Framework for Software-Defined 5G Edge Networks

open access: yesIEEE Access
5G (Fifth Generation) technology represents a significant advancement in telecommunications, facilitating industry innovation and advancement for applications across various sectors.
N. Sethu Subramanian   +5 more
doaj   +1 more source

Task offloading optimization mechanism based on deep neural network in edge-cloud environment

open access: yesJournal of Cloud Computing: Advances, Systems and Applications, 2023
With the rise of edge computing technology and the development of intelligent mobile devices, task offloading in the edge-cloud environment has become a research hotspot.
Lingkang Meng   +5 more
doaj   +1 more source

Task Caching, Offloading, and Resource Allocation in D2D-Aided Fog Computing Networks

open access: yesIEEE Access, 2019
In this paper, we investigate the allocation of resource in D2D-aided Fog computing system with multiple mobile user equipments (MUEs). We consider each MUE has a request for task from a task library and needs to make a decision on task performing with a
Yanwen Lan   +4 more
doaj   +1 more source

vConnect: V2V Connectivity Prediction and Independent Task Offloading Framework in Vehicular Edge Computing

open access: yesIEEE Access
Vehicular Edge Computing enables the utilization of idle resources on vehicles. Task offloading schemes have been widely investigated to satisfy the need for high computational power.
Adsadawut Chanakitkarnchok   +2 more
doaj   +1 more source

A Probability Preferred Priori Offloading Mechanism in Mobile Edge Computing

open access: yesIEEE Access, 2020
Mobile edge computing (MEC) can provide computation and storage capabilities via edge servers which are closer to user devices (UDs). The MEC offloading system can be viewed as a system where each UD is covered by single or multiple edge servers ...
Jin Wang   +7 more
doaj   +1 more source

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