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Optimizing task offloading and resource allocation in edge-cloud networks: a DRL approach
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
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Effective Task Offloading Strategy Based on Heterogeneous Nodes [PDF]
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
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Game-Theory-Based Task Offloading and Resource Scheduling in Cloud-Edge Collaborative Systems
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
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Task offloading method of edge computing in IoT based on Deep Q Learning Algorithm
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
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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
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Blockchain and RL-Based Secured Task Offloading Framework for Software-Defined 5G Edge Networks
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
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Task offloading optimization mechanism based on deep neural network in edge-cloud environment
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
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Task Caching, Offloading, and Resource Allocation in D2D-Aided Fog Computing Networks
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
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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
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A Probability Preferred Priori Offloading Mechanism in Mobile Edge Computing
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
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