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Computation Offloading in Beyond 5G Networks: A Distributed Learning Framework and Applications [article]

Xianfu Chen and Celimuge Wu and Zhi Liu and Ning Zhang and Yusheng Ji
2020 arXiv   pre-print
process, for which a distributed learning framework is proposed.  ...  We present a case study on resource orchestration in computation offloading to showcase the potentials of an online distributed reinforcement learning algorithm developed under the proposed framework.  ...  In such MEC systems, an MT decides whether the computation should be processed locally or offloaded to the edge computing servers for remote execution.  ... 
arXiv:2007.08001v1 fatcat:pomlqitbbfcxlp2byq2uowbhja

Special Issue on Artificial-Intelligence-Powered Edge Computing for Internet of Things

Lei Yang, Xu Chen, Samir M. Perlaza, Junshan Zhang
2020 IEEE Internet of Things Journal  
task latency for all the IoT users, by optimizing offloading decision, transmission power, and resource allocation in the large-scale mobile-edge computing system. 2327-4662 c 2020 IEEE.  ...  for AI-powered time-critical services in mobile-edge computing.  ... 
doi:10.1109/jiot.2020.3019948 fatcat:mogalqnhnnaqpbxb7zivzdhvry

AI Driven Heterogeneous MEC System with UAV Assistance for Dynamic Environment – Challenges and Solutions [article]

Feibo Jiang and Kezhi Wang and Li Dong and Cunhua Pan and Wei Xu and Kun Yang
2020 arXiv   pre-print
By taking full advantage of Computing, Communication and Caching (3C) resources at the network edge, Mobile Edge Computing (MEC) is envisioned as one of the key enablers for the next generation networks  ...  DNN-based solution with online incremental learning applies the global optimizer and therefore has better performance than the DRL-based architecture with online policy updating, but requires longer training  ...  Specifically, MEC can enable UEs with computational-intensive tasks to offload them to the edge cloud and is envisioned as one of the key enabling technologies for the next generation mobile networks  ... 
arXiv:2002.05020v3 fatcat:qm6rosfk7zfdxp3y26ppfkwd5e

Guest Editorial Emerging Computing Offloading for IoTs: Architectures, Technologies, and Applications

Jiannong Cao, Deyu Zhang, Haibo Zhou, Peng-Jun Wan
2019 IEEE Internet of Things Journal  
We hope that the special issue can serve as a good reference for scientists, engineers, and academicians in the area of computation offloading in IoTs. JIANNONG CAO  ...  Xuemin Shen, for his help in the publication process.  ...  In "An Energy-Aware Offloading Framework for Edge-Augmented Mobile RFID Systems," the authors study computing offloading in radio frequency identification (RFID) systems built with mobile readers and analyze  ... 
doi:10.1109/jiot.2019.2921217 fatcat:yxc2v2whm5gtzhpefivtgt5uxy

Task Offloading with Multi-Tier Computing Resources in Next Generation Wireless Networks [article]

Kunlun Wang, Jiong Jin, Yang Yang, Tao Zhang, Arumugam Nallanathan, Chintha Tellambura, Bijan Jabbari
2022 arXiv   pre-print
More specifically, multi-tier computing systems compensate for cloud computing through task offloading and dispersing computing tasks to multi-tier nodes along the continuum from the cloud to things.  ...  In this paper, we investigate key techniques and directions for wireless communications and resource allocation approaches to enable task offloading in multi-tier computing systems.  ...  Based on the above analysis, MDP promises an online learning framework for learning computing resources and available resources information for stochastic optimization, aiming to minimize task offloading  ... 
arXiv:2205.13866v1 fatcat:kt7zx34yljfejnxoqo3zjng23i

Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence

Peng Wei, Kun Guo, Ye Li, Jue Wang, Wei Feng, Shi Jin, Ning Ge, Ying-Chang Liang
2022 IEEE Access  
INDEX TERMS Mobile edge computing (MEC), network uncertainty, reinforcement learning (RL).  ...  Mobile edge computing (MEC) is considered a novel paradigm for computation-intensive and delay-sensitive tasks in fifth generation (5G) networks and beyond.  ...  It provides an emerging integrated communication network, artificial intelligence, and mobile edge computing (MEC) framework.  ... 
doi:10.1109/access.2022.3183647 fatcat:pd5z6q4innd5jl25g4r7b4nq3i

Towards Computation Offloading in Edge Computing: A Survey

Congfeng Jiang, Xiaolan Cheng, Honghao Gao, Xin Zhou, Jian Wan
2019 IEEE Access  
Computation offloading plays a crucial role in edge computing in terms of network packets transmission and system responsiveness through dynamic task partitioning between cloud data centers and edge servers  ...  Moreover, resource scheduling approaches, gaming and tradeoffing among system performance and overheads for computation offloading decision making are also reviewed.  ...  [101] investigated the design of computation offloading mechanism of mobile edge computing in 5G heterogeneous networks and proposed a multi-device energy-saving computation offloading framework, the  ... 
doi:10.1109/access.2019.2938660 fatcat:qcpqojzxsnbsnmuez3x2ew4sqa

Green-aware Mobile Edge Computing for IoT: Challenges, Solutions and Future Directions [article]

Minxian Xu, Chengxi Gao, Shashikant Ilager, Huaming Wu, Chengzhong Xu, Rajkumar Buyya
2020 arXiv   pre-print
Mobile edge computing (MEC) offers an attractive paradigm to handle this challenge.  ...  In this work, we concentrate on the MEC application for IoT and deal with the energy saving objective via offloading workloads between cloud and edge.  ...  However, it is still promising to take the heterogeneity of both mobile cloud computing and mobile edge computing together to build a hybrid environment for selecting task offloading destinations.  ... 
arXiv:2009.03598v1 fatcat:yocrd33c5vfzzi3mltp2rcrpvm

Guest Editorial: Introduction to the Special Section on Heterogeneous Communications Networks

Chunxiao Jiang, Abderrahim Benslimane, Mianxiong Dong, Ekram Hossain
2020 IEEE Transactions on Network Science and Engineering  
His research interests are in development of communication protocols with the use of graph theory for mobile and wireless networks.  ...  His research interests include wireless networks, cloud computing, and cyberphysical systems.  ...  In "Large-Scale User-Assisted Multi-Task Online Offloading for Latency Reduction in D2D-Enabled Heterogeneous Networks," Sun et al. establish a distributed optimization based task offloading framework  ... 
doi:10.1109/tnse.2020.3026566 fatcat:rej32vuse5bgrajuih26pct3oy

Decentralized Computation Offloading With Cooperative UAVs: Multi-Agent Deep Reinforcement Learning Perspective [article]

Sangwon Hwang, Hoon Lee, Juseong Park, Inkyu Lee
2022 arXiv   pre-print
This triggers new research opportunities toward task offloading systems where edge servers handle intensive computations of IoT devices.  ...  This requests mobile edge servers to be mounted on unmanned aerial vehicles (UAVs) that provide on-demand mobile edge computing (MEC) services.  ...  These challenges bring up new research paradigms in mobile edge computing (MEC) systems where intensive computations of IoT devices (IDs) are handled by edge networks.  ... 
arXiv:2207.13832v1 fatcat:fhtuo3dtw5cd5dr7q65g3vlk4y

Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence [article]

Peng Wei, Kun Guo, Ye Li, Jue Wang, Wei Feng, Shi Jin, Ning Ge, Ying-Chang Liang
2022 arXiv   pre-print
Mobile edge computing (MEC) is considered a novel paradigm for computation-intensive and delay-sensitive tasks in fifth generation (5G) networks and beyond.  ...  Finally, the open challenges are discussed to provide helpful guidance for future research in RL training and learning MEC.  ...  It provides an emerging integrated communication network, artificial intelligence, and mobile edge computing (MEC) framework.  ... 
arXiv:2201.11410v4 fatcat:24igkq4kbrb2pjzwf3mf3n7qtq

IEEE Access Special Section Editorial: Communication and Fog/Edge Computing Toward Intelligent Connected Vehicles (ICVS)

Lei Shu, Junhui Zhao, Yi Gong, Changqing Luo, Tim Gordon
2021 IEEE Access  
To tackle the challenge, fog/edge computing is proposed as innovative computing paradigms to extend computing capacity to the network edge to meet the requirements.  ...  These kinds of applications typically require significant computing power to perform computation-intensive and latency-sensitive tasks generated by the vehicle sensors for low-latency response.  ...  The article by Wang et al., ''Online offloading scheduling and resource allocation algorithms for vehicular edge computing system,'' designs a three-layer VEC architecture and proposes an online offloading  ... 
doi:10.1109/access.2021.3071260 doaj:3c15b73f232c41a199e81c178ee3a34d fatcat:c5xvpfeh3zf5fgyzkpzmdkw3jy

Artificial Intelligence-Empowered Edge of Vehicles: Architecture, Enabling Technologies, and Applications

Hongjing Ji, Osama Alfarraj, Amr Tolba
2020 IEEE Access  
To substantially reduce the latency and the energy consumption, application work is offloaded from a mobile device to a remote cloud or a nearby mobile edge cloud for processing.  ...  Therefore, mobile edge computing (MEC) has the advantages of effectively utilizing idle computing and storage resources at the edge of the network and reducing the network transmission delay.  ...  Within the framework of MEC, the mobile terminal can offload a task to the nearby edge computing server for processing and feed back the calculation results to the mobile terminal, thereby effectively  ... 
doi:10.1109/access.2020.2983609 fatcat:b45abdrxbracnbfpvtvtu5uxui

A Survey on Offloading in Federated Cloud-Edge-Fog Systems with Traditional Optimization and Machine Learning [article]

Binayak Kar, Widhi Yahya, Ying-Dar Lin, Asad Ali
2022 arXiv   pre-print
We then provide a comprehensive survey on offloading in federated systems with machine learning approaches and the lessons learned as a result of these surveys.  ...  This study provides a novel federal classification between cloud, edge, and fog and presents a comprehensive research roadmap on offloading for different federated scenarios.  ...  for edge computing [12] ML Machine learning-based approaches in mobile edge computing Our Multiple T/ML Offloading in federated cloud-edge-fog systems The authors of [13] - [17] discussed traffic  ... 
arXiv:2202.10628v1 fatcat:72oyy5unmbcwdn4rrnjy3t7dgu

Guest Editorial Optimization of Electric Vehicle Networks and Heterogeneous Networking in Future Smart Cities

Honghao Gao, Yudong Zhang
2021 IEEE transactions on intelligent transportation systems (Print)  
Edge computing is exploited to run rapid computing and communication for these applications.  ...  The article entitled "Trust-aware service offloading for video surveillance in edge computing enabled Internet of Vehicles," by Xu et al., proposes a trust-aware task offloading method (TOM) for video  ... 
doi:10.1109/tits.2021.3056180 fatcat:do3jyqr535ha3l3u2meoonqb24
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