Suchergebnisse - efficient Q‐learning based computation offloading algorithm

Q-learning based computation offloading for multi-UAV-enabled cloud-edge computing networks von Wang, Meng, Shi, Shuo, Gu, Shushi, Gu, Xuemai, Qin, Xue

“… Based on this framework, they formulate the computation …”
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Joint computation offloading and task caching for multi-user and multi-task MEC systems: reinforcement learning-based algorithms von Elgendy, Ibrahim A., Zhang, Wei-Zhe, He, Hui, Gupta, Brij B., Abd El-Latif, Ahmed A.

“… Computation offloading at mobile edge computing (MEC) servers can mitigate the resource limitation and reduce the communication latency for mobile devices …”
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Q‐learning‐based task offloading strategy for satellite edge computing von Shuai, Jiaqi, Xie, Bo, Cui, Haixia, Wang, Jiahuan, Wen, Weichang

“… To accomplish this goal, we also propose a Q‐learning‐based reinforcement learning offloading strategy in which both …”
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CeCO: Cost-efficient Computation Offloading of IoT Applications in Green Industrial Fog Networks von Hazra, Abhishek, Amgoth, Tarachand

“… To address this issue, we design a novel fog federation, a computation offloading framework for industrial networks called CeCO, where a master fog controller regulates the network and distributes …”
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Learning for Computation Offloading in Mobile Edge Computing von Dinh, Thinh Quang, La, Quang Duy, Quek, Tony Q. S., Shin, Hyundong

“… ) at the edge of wireless networks. However, deploying MEC systems faces many challenges, one of which is to achieve an efficient distributed offloading mechanism for multiple users in time-varying wireless environments …”
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A Heuristic Deep Q Learning for Offloading in Edge Devices in 5 g Networks von Dong, YanRu, Alwakeel, Ahmed M., Alwakeel, Mohammed M., Alharbi, Lubna A., Althubiti, Sara A

“… To overcome the issues of existing work, such as low latency, offloading and task scheduling, the proposed method provides efficient results …”
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A walrus optimization algorithm for sustainable internet of robotic things based on Q-Learning von Varshney, Hirdesh, Singh, Avtar

“… Therefore, the present work develops an efficient task offloading mechanism by considering a multi-objective optimization approach to reduce energy consumption based on sampling rate, transmission …”
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Optimal Task Offloading and Trajectory Planning Algorithms for Collaborative Video Analytics With UAV-Assisted Edge in Disaster Rescue von Sun, Hui, Zhang, Xiuye, Zhang, Bo, Sha, Kewei, Shi, Weisong

“… To minimize the computational overhead of ECs during hovering and serving within a time slot, we present a new task offloading scheme based on the differential evolutionary algorithm …”
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Single-Cell Multiuser Computation Offloading in Dynamic Pricing-Aided Mobile Edge Computing von Tao, Ming, Li, Xueqiang, Ota, Kaoru, Dong, Mianxiong

“… For multiuser in signal cell network with MEC, a dynamic pricing-based computation offloading solution is investigated in this article …”
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Energy-Efficient Edge Caching and Task Deployment Algorithm Enabled by Deep Q-Learning for MEC von Ma, Li, Wang, Peng, Du, Chunlai, Li, Yang

“… Therefore, by jointly optimizing the strategies of task deployment, offloading decisions, edge cache and resource allocation, this paper aims to minimize the overall energy consumption of a mobile edge computing (MEC …”
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MGCO: Mobility-Aware Generative Computation Offloading in Edge-Cloud Systems von Ghosh, Aswini, Sharma, Nelson, Mishra, Shivendu, Misra, Rajiv, Das, Sajal K.

“… Mobility introduces significant challenges for optimal computation offloading, latency minimization, and efficient re source utilization in multi-access edge computing (MEC) systems …”
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Computation Offloading Strategy for Autonomous Vehicles von Farimani, Mina Khoshbazm, Karimian-Aliabadi, Soroush, Entezari-Maleki, Reza

“… This paper establishes a computation offloading strategy based on deep Q-learning algorithm for vehicular edge computing networks …”
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Computation Offloading for Workflow in Mobile Edge Computing Based on Deep Q-Learning von Zhu, Anqi, Guo, Songtao, Ma, Mingfang, Feng, Hao, Liu, Bei, Su, Xin, Guo, Minghong, Jiang, Qiucen

“… The algorithm proposed formalizes the computation offloading problem into an energy and time optimization problem according to user experience, and obtains the optimal cost strategy on the basis of deep Q-learning (DQN …”
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Deep Reinforcement Learning for Energy-Efficient Computation Offloading in Mobile-Edge Computing von Zhou, Huan, Jiang, Kai, Liu, Xuxun, Li, Xiuhua, Leung, Victor C. M.

“… Although the issues of computation offloading and resource allocation in MEC have been studied with different optimization objectives, they mainly focus on facilitating the performance …”
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Dynamic Multi-user Computation Offloading for Mobile Edge Computing using Game Theory and Deep Reinforcement Learning von Teymoori, Peyvand, Boukerche, Azzedine

“… services at the edge of the wireless access network. To use the services provided by the MEC more effectively, making efficient and reasonable offloading decisions is crucial …”
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Time-and-Traffic-aware collaborative task offloading with service caching-replacement in cloud-assisted mobile edge computing von Chhabra, Gurpreet Singh, Satti, Satish Kumar, Rajareddy, Goluguri N. V., Mahapatra, Abhijeet, Lakshmeeswari, Gondi, Mishra, Kaushik

“… The rapid growth of Internet of Things (IoT) applications has increased the demand for ultra-low-latency and energy-efficient computing …”
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Deep Learning Empowered Task Offloading for Mobile Edge Computing in Urban Informatics von Zhang, Ke, Zhu, Yongxu, Leng, Supeng, He, Yejun, Maharjan, Sabita, Zhang, Yan

“… To cope with this challenge, we adopt a deep Q-learning approach for designing optimal offloading schemes, jointly considering selection of target server …”
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Task Offloading and Scheduling Based on Mobile Edge Computing and Software-defined Networking von Azeez Rawdhan, Fatimah

“… This multi-objective optimization problem requires balancing the trade-offs between local execution on mobile devices and offloading tasks to edge servers, considering factors such as computation …”
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D2D-Assisted Multi-User Cooperative Partial Offloading in MEC Based on Deep Reinforcement Learning von Guan, Xin, Lv, Tiejun, Lin, Zhipeng, Huang, Pingmu, Zeng, Jie

“… In this paper, we construct a D2D-MEC framework and study the multi-user cooperative partial offloading and computing resource allocation …”
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Reinforcement Learning Based MEC Architecturewith Energy-Efficient Optimization for ARANs von He, Qiang, Lv, Yingjie, Zhen, Li, Yu, Keping

“… Besides, for environmental protection and cost reduction, we propose a Q-learning algorithm based on the improved …”
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