Collaborative Cloud-Edge-End Task Offloading in Mobile-Edge Computing Networks With Limited Communication Capability

A survey of mobile cloud computing: architecture, applications, and approaches

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Energy-Efficient Resource Allocation for Mobile-Edge Computation Offloading

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User Association for Load Balancing in Heterogeneous Cellular Networks

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Joint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing

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Energy-Efficient Offloading for Mobile Edge Computing in 5G Heterogeneous Networks

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Collaborative Cloud and Edge Computing for Latency Minimization

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Smart Resource Allocation for Mobile Edge Computing: A Deep Reinforcement Learning Approach

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Latency Optimization for Resource Allocation in Mobile-Edge Computation Offloading

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Cloud-Based Augmentation for Mobile Devices: Motivation, Taxonomies, and Open Challenges

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Joint Resource Allocation and Task Offloading for Heterogeneous Cloud-Edge-End Networks Assisted by NOMA

Hu, X., Shan, L., Hua, J., Qi, J., Dong, Z., Xu, B., & Sun, Y. (2026) · IEEE Transactions on Green Communications and Networking · doi:10.1109/tgcn.2026.3653056 · Cited by 9

Optimization design of railway logistics center layout based on mobile cloud edge computing

Zhang, X. (2023) · PeerJ Computer Science · doi:10.7717/peerj-cs.1298 · Cited by 9

Towards Optimal Application Offloading in Heterogeneous Edge-Cloud Computing

Ji, T., Wan, X., Guan, X., Zhu, A., & Ye, F. (2023) · IEEE Transactions on Computers · doi:10.1109/tc.2023.3290494 · Cited by 9

Aegis: A cloud-edge computing based multi-disaster crowd evacuation model using improved deep reinforcement learning

Zhao, J., Xu, X., & Fu, X. (2024) · Computer Communications · doi:10.1016/j.comcom.2024.108036 · Cited by 8

Load-balanced multi-user mobility-aware task offloading in multi-access edge computing

Pang, S., Zhou, M., Gui, H., He, X., Wang, N., & Wang, L. (2025) · Computer Communications · doi:10.1016/j.comcom.2025.108102 · Cited by 8

Dependency-Aware Parallel Offloading and Computation in MEC-Enabled Networks

Kai, C., Xiao, S., Yi, Y., Peng, M. C., & Huang, W. (2022) · IEEE Communications Letters · doi:10.1109/lcomm.2022.3142419 · Cited by 8

A truthful mechanism for multi-access multi-server multi-task resource allocation in mobile edge computing

Liu, X., & Liu, J. (2023) · Peer-to-Peer Networking and Applications · doi:10.1007/s12083-023-01574-x · Cited by 8

Lyapunov-Assisted Decentralized Dynamic Offloading Strategy Based on Deep Reinforcement Learning

Wang, J., Zhang, H., Han, X., Zhao, J., & Wang, J. (2024) · IEEE Internet of Things Journal · doi:10.1109/jiot.2024.3498839 · Cited by 8

Load balance -aware dynamic cloud-edge-end collaborative offloading strategy

Fan, Y. (2024) · PLoS ONE · doi:10.1371/journal.pone.0296897 · Cited by 7

Joint optimization of offloading strategy and resource allocation for multi-user in dynamic vehicular edge computing systems

Du, Z. Z., Ni, Y., Tao, H., & Yin, M. (2024) · Simulation Modelling Practice and Theory · doi:10.1016/j.simpat.2024.103001 · Cited by 7

Revolutionizing QoE-Driven Network Management with Digital Agents in 6G

Shen, X., Huang, X., Xue, J., Zhou, C., Shi, X., & Zhuang, W. (2025) · IEEE Communications Magazine · doi:10.1109/mcom.001.2400679 · Cited by 7

Delay-Energy Aware Task Offloading and VM Migration Policy for Mobile Edge Computing

Joshi, V. C., & Patil, K. (2021) · Wireless Personal Communications · doi:10.1007/s11277-021-09290-6 · Cited by 7

Towards a cooperative hierarchical healthcare architecture using the HMAN offloading scenarios and SRT calculation algorithm

Jasim, A. M., & Al-Raweshidy, H. S. (2022) · IET Networks · doi:10.1049/ntw2.12064 · Cited by 7

Resource-Efficient Distributed Deep Neural Networks Empowered by Intelligent Software-Defined Networking

Lü, K., Du, Z., Li, J., & Min, G. (2022) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2022.3218173 · Cited by 11

Multi-Task Partial Offloading with Relay and Adaptive Bandwidth Allocation for the MEC-Assisted IoT

Imtiaz, H. H., & Tang, S. (2022) · Sensors · doi:10.3390/s23010190 · Cited by 7

A blockchain-based scheme for edge–edge collaboration management in time-sensitive networking

Chen, J., Pu, C., Wang, P., Huang, X., & Liu, Y. (2023) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2023.101902 · Cited by 6

Research on Cloud-Edge-Device Collaborative Intelligent Monitoring System of Grinding Wheel Wear State for High-Speed Cylindrical Grinding of Bearing Rings

Zhuo, R., Deng, Z., Ge, J., Liu, W., Lv, L., & Yan, C. (2024) · Actuators · doi:10.3390/act13090327 · Cited by 8

Energy-Efficient Task Offloading in Multi-server Mobile Edge Computing Networks: A Deep Reinforcement Learning Approach

Zhao, L., Zhang, J., Bah, M. J., Zhao, L., Ying, J. J.-C., Muthanna, A., & Elgendy, I. A. (2025) · Arabian Journal for Science and Engineering · doi:10.1007/s13369-025-10363-y · Cited by 6

A Batch-Constrained Safe Deep Q-Learning-Based Cloud-Edge Collaborative Framework for Dynamic Operation Optimization in Industrial Processes

Qin, X., Liu, H. B., Dong, J., & Peng, K. (2025) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2025.3609186 · Cited by 6

CHPFL: Clustered adaptive hierarchical federated learning for edge-level personalization

Song, L., Li, J., Jiang, H., Wei, S., & Guo, Y. (2025) · High-Confidence Computing · doi:10.1016/j.hcc.2025.100343 · Cited by 7

An Amplify-and-Forward Full-Duplex Cooperative Relay Scheme for Low-Latency Downlink Transmission in CRAN

Kai, C., Yi, Y., Peng, M. C., & Huang, W. (2020) · IEEE Communications Letters · doi:10.1109/lcomm.2020.3047628 · Cited by 6

Adaptive Edge-Level Personalization on Hierarchical Federated Learning

Song, L., Li, J., Jiang, H., Wei, S., & Guo, Y. (2023) · IEEE International Performance, Computing, and Communications Conference · doi:10.1109/ipccc59175.2023.10253826 · Cited by 6

SEESys: Online Pose Error Estimation System for Visual SLAM

Hu, T., Scargill, T., Yang, F., Chen, Y., Lan, G., & Gorlatova, M. A. (2024) · ACM Conference on Embedded Networked Sensor Systems (SenSys) · doi:10.1145/3666025.3699341 · Cited by 10

Hierarchical federated deep reinforcement learning based joint communication and computation for UAV situation awareness

Li, H., & Huang, J. (2024) · Vehicular Communications · doi:10.1016/j.vehcom.2024.100853 · Cited by 6

Efficient slicing scheme and cache optimization strategy for structured dependent tasks in intelligent transportation scenarios

Sifeng, Z., Song, Z., Zhu, H. J., & Qiao, R. (2024) · Ad Hoc Networks · doi:10.1016/j.adhoc.2024.103699 · Cited by 6

DRL-based latency-energy offloading optimization strategy in wireless VR networks with edge computing

Wang, J., Xia, H., Xu, L., Zhang, R., & Jia, K. (2025) · Computer Networks · doi:10.1016/j.comnet.2025.111034 · Cited by 6

Diffusion Model Empowered Efficient Data Distillation Method for Cloud-Edge Collaboration

Chai, Z., Lin, Y., Gao, Z., Yu, X., & Xie, Z. (2025) · IEEE Transactions on Cognitive Communications and Networking · doi:10.1109/tccn.2025.3527647 · Cited by 9

Spectral Efficiency Analysis for IRS-Assisted MISO Wireless Communication: A Metaverse Scenario Proposal

Rahman, M. H., Sejan, M. A. S., Aziz, M. A., Kim, D.-S., You, Y., & Song, H. (2023) · Mathematics · doi:10.3390/math11143181 · Cited by 6

Adaptive Task Offloading and Resource Allocation for Tasks With Time-Varying Statistical Characteristics in MEC Systems

Zhang, F., Zhang, Y., Xie, Y., Fu, Y., Zhao, C., Xu, C., & Quek, T. Q. S. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3633937 · Cited by 5

Hybrid Optimal Ensemble SVM Forest Classifier for Task Offloading in Mobile Cloud Computing

Subramaniam, E. V. D., & Krishnasamy, V. (2023) · The Computer Journal · doi:10.1093/comjnl/bxad059 · Cited by 5

A multi-level monitoring mechanism for inland ships sewage based on software-defined cloud-edge-end collaborative architecture

Han, D., Chen, H., Wen, Y., Xiao, C., Cheng, X., & Huang, X. (2025) · Ocean & Coastal Management · doi:10.1016/j.ocecoaman.2025.107574 · Cited by 6

Fairness-Aware Computation Offloading for Mobile Edge Computing With Energy Harvesting

Triyanto, D., Mustika, I. W., Widyawan, W., & Pavarangkoon, P. (2025) · IEEE Access · doi:10.1109/access.2025.3552498 · Cited by 5

Resource and delay aware fine-grained service offloading in collaborative edge computing

Zhang, J., Yu, P., Zhou, F., Feng, L., Li, W., & Qiu, X. (2022) · Computer Networks · doi:10.1016/j.comnet.2022.109383 · Cited by 5

An Energy-Saving Regulation Framework of Central Air Conditioning Based on Cloud–Edge–Device Architecture

Luo, G., Sun, T., Wang, H., Li, H., Wang, J., Miao, Z., Si, H., che, F., & Liu, G. (2023) · Sustainability · doi:10.3390/su15032554 · Cited by 5

Advanced Deep Reinforcement Learning Protocol to Improve Task Offloading for Edge and Cloud Computing

Hashem, W., Attia, R. M., Nashaat, H., & Rizk, R. Y. (2022) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-3-031-03918-8_51 · Cited by 5

Energy-aware allocation for delay-sensitive multitask in mobile edge computing

Liu, X., Liu, J., & Wu, H. (2022) · The Journal of Supercomputing · doi:10.1007/s11227-022-04550-z · Cited by 5

HyOrch: 6G-Driven Resource Orchestration for Hierarchical End–Edge–Cloud Networks

Ali, M., Zhao, L., Cheng, Z.-M., Wang, Q., Li, Z., Zhou, G., Ali, H., & Bellavista, P. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3619946 · Cited by 4

Priority-Aware Resource Allocation for RIS-assisted Mobile Edge Computing Networks: A Deep Reinforcement Learning Approach

Ling, J., Li, C., Zhang, L., Wu, Y., Tang, M., & Zhu, F. (2024) · Wireless Personal Communications · doi:10.1007/s11277-024-11227-8 · Cited by 4

Cloud-edge collaboration-based task offloading strategy in railway IoT for intelligent detection

Guo, Q., Xu, Z., Yuan, J., & Wei, Y. (2024) · Wireless Networks · doi:10.1007/s11276-024-03824-z · Cited by 4

Edge computing for IoT: Novel insights from a comparative analysis of access control models

Xue, T., Zhang, Y., Wang, Y., Wang, W., Li, S., & Zhang, H. (2025) · Computer Networks · doi:10.1016/j.comnet.2025.111468 · Cited by 9

Research on Knowledge Graph-Aware Offloading Optimization and Content Acquisition Methods for Air-Ground Collaboration in VANETs

Chen, G., Zhou, Y., Zeng, Q., & Zhang, Y. (2023) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2023.3328845 · Cited by 4

SRA-E-ABCO: terminal task offloading for cloud-edge-end environments

Jiao, S., Wang, H., & Luo, J. L. (2024) · Journal of Cloud Computing Advances Systems and Applications · doi:10.1186/s13677-024-00622-y · Cited by 4

TriStack: Efficient Stackelberg Game-Based Offloading for Cloud-Edge-Terminal Computing

Shi, Y., Zhao, T., Cui, X., Li, T., & Zheng, K. (2024) · IEEE Wireless Communications and Networking Conference · doi:10.1109/wcnc57260.2024.10571125 · Cited by 4

A Collaborative Task Offloading Framework for Smart TV Applications in a Household Computing Environment

Li, L., Qiao, X., Zhang, H., Huang, Y., & Ren, P. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3135436 · Cited by 4

Adaptive Compute Offloading Algorithm for Metasystem Based on Deep Reinforcement Learning

Wang, C., Wang, W., Li, W., Liu, Z., Zhu, J., & Zhang, N. (2022) · International Journal of Pattern Recognition and Artificial Intelligence · doi:10.1142/s021800142252019x · Cited by 4

Multiobjective Resource Allocation Strategy for Metaverse Resource Management

Cao, B., Chen, Y., Liu, X., He, H., Song, H. H., & Lv, Z. (2023) · IEEE International Conference on Metaverse Computing, Networking and Applications (MetaCom) · doi:10.1109/metacom57706.2023.00100 · Cited by 4

Privacy-security oriented chaotic compressed sensing data collection in edge-assisted mobile crowd sensing

Fu, Y., Huang, B., Li, L., Chen, J., & Wei, W. (2024) · Ad Hoc Networks · doi:10.1016/j.adhoc.2024.103507 · Cited by 4

CollaborativeBEV: Collaborative bird eye view for reconstructing crowded environment

Zhao, J., Mu, F., & Lyu, Y. (2024) · Image and Vision Computing · doi:10.1016/j.imavis.2024.105060 · Cited by 4

A family of truthful mechanisms for resource allocation with multi-attribute demand in mobile edge computing

Liu, X., Liu, J., Wu, H., & Dong, J. (2024) · Cluster Computing · doi:10.1007/s10586-024-04552-x · Cited by 4

Network Resource Allocation Strategy Based on UAV Cooperative Edge Computing

Wang, S., & Kong, N. (2022) · Journal of Robotics · doi:10.1155/2022/8514235 · Cited by 4

Service-Differentiated Joint Distributed Communication and Computing Resource Allocation for Wi-Fi Networks Based on Federated Learning and MADRL

Wu, J.-J., Fang, X.-M., & Wang, X.-B. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3581340 · Cited by 6

AoI-Oriented Computation Offloading and Resource Allocation for End-Edge-Cloud Computing Systems

Zeng, Y., Zeng, Y. W., Chen, J., Shen, Y., Li, L., Cong, P., Zhou, J., & Li, K. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3591682 · Cited by 3

Edge-Coordinated Task Scheduling and Resource Allocation for Multiple Video Analytics Services

Wang, Y., Cheng, S., Zhang, Y., Bi, T., & Jiang, T. (2025) · IEEE Transactions on Cognitive Communications and Networking · doi:10.1109/tccn.2025.3594335 · Cited by 3

DRL-COO: DRL-Based Collaborative Offloading Optimization for Multiaccess Edge Computing Using Improved Experience Replay

Yi, M., Li, P., Yang, P., Dong-mei, Y., Iqbal, M., & Wang, X. (2025) · IEEE Sensors Journal · doi:10.1109/jsen.2025.3623885 · Cited by 3

An Efficient Clinical Decision Support Framework Using IoMT Based on Explainable and Trustworthy Artificial Intelligence with Transformer Model and Blockchain-Integrated Chunking

Arslanoğlu, K., & Karaköse, M. (2025) · Diagnostics · doi:10.3390/diagnostics16010007 · Cited by 3

A thermostatically controlled loads regulation method based on hybrid communication and cloud–edge–end collaboration

Zhang, L., Hao, P., Zhou, W., Ma, J., Li, K., Yang, D., & Wan, J. (2024) · Energy Reports · doi:10.1016/j.egyr.2024.12.010 · Cited by 3

Research on energy transmission strategy based on MEC in green communication

Xue, J., Wu, S., Wang, Z., Wang, H., & Hu, Q. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-022-12997-8 · Cited by 3

Cloud-edge Collaborative Distributed Optimal Bidding Strategy for Large-scale EVs in Electricity Markets

Gao, S., Dai, R., Li, C., & Cao, W. (2022) · IEEE Vehicle Power and Propulsion Conference (VPPC) · doi:10.1109/vppc55846.2022.10003343 · Cited by 3

Comparative Analysis on Collaborative Cloud-Edge-End Computing Architecture of High-Speed Train

Liu, J., Song, J., Wang, H., & Lin, S. (2023) · IEEE International Conference on Communication Technology (ICCT) · doi:10.1109/icct59356.2023.10419681 · Cited by 3

Energy‐efficient reliability‐aware offloading for delay‐sensitive tasks in collaborative edge computing

Li, Z., Yu, H., Fan, G., Zhang, J., & Xu, J. (2024) · Concurrency and Computation Practice and Experience · doi:10.1002/cpe.8083 · Cited by 3

Minimizing Task Age upon Decision for Low-Latency MEC Networks Task Offloading with Action-Masked Deep Reinforcement Learning

Jiang, Z., Yang, J., & Gao, X. (2024) · Sensors · doi:10.3390/s24092812 · Cited by 3

Fault-tolerant and mobility-aware loading via Markov chain in mobile cloud computing

Wang, N., Li, Y., Li, Y., & Nie, H. (2025) · Scientific Reports · doi:10.1038/s41598-025-02529-3 · Cited by 3

Intelligent Evaluation Mechanism for Cloud-Edge-End based Next Generation Ship Simulator towards Maritime Pilot Training

Feng, L., Lin, B., Jing, X., Zhao, Q., Liu, L., & Shao, S. (2021) · International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) · doi:10.1109/spac53836.2021.9539985 · Cited by 3

Fine-grained object tracking system infrastructure based on cloud-edge collaboration

Wang, Y., Ding, P., Shen, Y. C., Shi, X., & Zhou, H. (2022) · IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) · doi:10.1109/bmsb55706.2022.9828633 · Cited by 3

Deep Reinforcement Learning-Based Joint Task Offloading in Cloud-Edge-End Cooperation Environments

Fang, C., Xu, H., Bai, Y., Zhang, T., Yang, Y., & Hu, Z. (2022) · International Conference on Frontiers of Electronics, Information and Computation Technologies · doi:10.1109/icfeict57213.2022.00097 · Cited by 3

Dependent Task Offloading for End-Edge-Cloud Collaborative Computing Based on Deep Reinforcement Learning

Liu, S., Zhang, Z., Wang, N., Zou, W., Tian, L., & Li, W. (2024) · IEEE International Conference on High Performance Computing and Communications; IEEE International Conference on Smart City; IEEE International Conference on Data Science and Systems (HPCC/SmartCity/DSS) · doi:10.1109/hpcc64274.2024.00169 · Cited by 2

Edge Intelligence-Based Rail Transit Equipment Inspection System

Tian, L., Zhao, H., Li, Z., Jiang, H., & Gao, X. (2025) · Sensors · doi:10.3390/s26010236 · Cited by 2

Blockedge: Blockchain-based cloud-edge-end collaborative computing with optimized task offloading

Yang, H., Dai, J., Chen, X., & Liu, L. (2026) · Expert Systems with Applications · doi:10.1016/j.eswa.2026.131234 · Cited by 2

CECN-DNN: A cloud-edge collaborative inference approach to intrusion detection

Zhou, J., Zhang, X., Li, W., Zhan, X., Wang, Y., Li, W., He, Y., Ma, X., Xiong, Z., & Liu, H. (2026) · Computer Networks · doi:10.1016/j.comnet.2026.112127 · Cited by 2

Energy‐Efficient Hierarchical Collaborative Scheme for Content Delivery in Mobile Edge Computing

Fang, C., Huang, X., Huang, J., Hu, Z., Sun, Y., Cai, J., Wang, Z., Chen, H., Zhang, J., & Xu, F. (2022) · Wireless Communications and Mobile Computing · doi:10.1155/2022/8392511 · Cited by 2

Impact of I-GWO towards Trust based Resource Allocation in Collaborative Cloud

Pol, P. S., & Pachghare, V. (2022) · INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING · doi:10.47164/ijngc.v13i1.412 · Cited by 2

Edge Computing for Internet of Things

Lee, K., & Man, K. L. (2022) · MDPI eBooks · doi:10.3390/books978-3-0365-4275-1 · Cited by 2

Research on Collaborative Computational Offload Strategy Based on Improved Ant Colony Algorithm in Edge Computing

Ge, H., Geng, J., An, Y., Feng, H., Zhou, T., & Huang, C. (2023) · doi:10.1109/icnlp58431.2023.00093 · Cited by 2

DRC-EDI: An integrity protection scheme based on data right confirmation for mobile edge computing

Gao, Y., Du, R., Wang, X., Li, R., Li, M., & Wang, Z. (2024) · Journal of Computer Security · doi:10.3233/jcs-220103 · Cited by 2

A review of the application prospects of cloud-edge-end collaborative technology in freshwater aquaculture

Wang, J., Wang, X., Shi, Y., Yang, H., Jia, B., Zhang, X., & Lin, L. (2025) · Artificial Intelligence in Agriculture · doi:10.1016/j.aiia.2025.02.008 · Cited by 2

Fast Processing of Massive Hyperspectral Image Anomaly Detection Based on Cloud-Edge Collaboration

Wang, Y., Sun, J. Y., Xu, Y., Wei, Z., Zheng, S., & Wu, Z. (2025) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2025.3574199 · Cited by 2

Linked-Object Dynamic Offloading (LODO) for the Cooperation of Data and Tasks on Edge Computing Environment

Kim, S., Kang, J., & Yoon, Y.-I. (2021) · Electronics · doi:10.3390/electronics10172156 · Cited by 2

Computational Offloading for the Industrial Internet of Things: A Performance Analysis

Bouhoula, S., Avgeris, M., Leivadeas, A., & Lambadaris, I. (2022) · IEEE International Mediterranean Conference on Communications and Networking (MeditCom) · doi:10.1109/meditcom55741.2022.9928770 · Cited by 2

List Scheduling Algorithm Based on Virtual Scheduling Length Table in Heterogeneous Computing System

Zhou, N., Liao, X., Li, F., Feng, Y., & Liu, L. (2021) · Wireless Communications and Mobile Computing · doi:10.1155/2021/9529022 · Cited by 2

Socially Aware Multi-Resource Trading for IoT Applications in Smart Cities using Auction theory

Ranjbaran, S., Jafari, A. R., & Crespi, N. (2023) · Conference on Cloud and Internet of Things (CIoT) · doi:10.1109/ciot57267.2023.10084895 · Cited by 2

Collaborative Computing Based on Truthful Online Auction Mechanism in Internet of Things

Wu, B., Chen, X., & Jiao, L. (2021) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-030-92638-0_9 · Cited by 2

Architecture and Implementation of a patient criticality aware Edge-Cloud offloading technique

Menon, A. B., Rajeev, K., Jyothika, S., Ratheesh, K., & Pathinarupothi, R. K. (2023) · IEEE International Conference for Convergence in Technology (I2CT) · doi:10.1109/i2ct57861.2023.10126178 · Cited by 1

Cooperative Task Offloading for Multi-Access Edge-Cloud Networks: A Multi-Group Multi-Agent Deep Reinforcement Learning

Suzuki, A., Kobayashi, M., & Oki, E. (2024) · International Conference on Computer Communications and Networks (ICCCN) · doi:10.1109/icccn61486.2024.10637522 · Cited by 1

Multi-layer collaborative task offloading optimization: balancing competition and cooperation across local edge and cloud resources

Ling, B., Deng, X., Huang, Y., Zhang, J., Gui, J., & Qian, Y. (2024) · The Journal of Supercomputing · doi:10.1007/s11227-024-06448-4 · Cited by 1

Adaptive Reconstruction Offloading for Digital Twin-assisted Intelligent Transportation Systems

Chen, J., Liu, S., Zhu, P., Yuan, J., Wu, C., Chen, X., Lu, W., & Yin, R. (2024) · IEEE/CIC International Conference on Communications in China (ICCC) · doi:10.1109/iccc62479.2024.10682032 · Cited by 1

A Cloud-Edge Collaborative Framework for Object Detection Using Kubeedge

Qing, C., Zhang, L., Gao, Y., & Zhang, W. (2025) · International Conference on Cloud Computing and Big Data Analytics (ICCCBDA) · doi:10.1109/icccbda64898.2025.11030479 · Cited by 1

Experience and DQN assisted optimization for sync-aware task offloading and resource allocation in industrial IoT

Pan, A., Liu, H., & Shen, B. (2026) · Expert Systems with Applications · doi:10.1016/j.eswa.2026.132222 · Cited by 1

Heterogeneous GNN for collective-task offloading in cloud-edge via deep Q-learning

Farabegoli, N., Domini, D., Aguzzi, G., & Mirko Viroli, D. (2026) · Future Generation Computer Systems · doi:10.1016/j.future.2026.108539 · Cited by 1

Multi-task intelligent scheduling for end-edge-cloud collaboration in urban rail transit

Zhang, M., Wu, Z., Zhao, J., Zhang, Q., & Tian, Y. (2026) · Physical Communication · doi:10.1016/j.phycom.2026.103149 · Cited by 1

Resource Allocation and Container Scaling for Microservices in Multi-Cluster Edge Computing System

Voon, J.-Y., Chiang, Y., & Wei, H. (2026) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2026.3713212 · Cited by 1

A Cloud-Edge Collaborative Computing Task Scheduling and Resource Allocation Algorithm for Energy Internet Environment

Song, X., Wang, Y., Xie, Z., & Xia, L. (2021) · KSII Transactions on Internet and Information Systems · doi:10.3837/tiis.2021.06.019 · Cited by 2

Research on Lightweight Microservice Composition Technology in Cloud-Edge Device Scenarios

Li, H. C., Liu, X., & Zhao, W. (2023) · Sensors · doi:10.3390/s23135939 · Cited by 1

Computation Resource Offloading in Mobile Edge Computing: A Deep Reinforcement Approach

Cao, M., Liu, L., Wang, C., Chen, Z., & Li, Y. (2023) · International Symposium on Computer Technology and Information Science (ISCTIS) · doi:10.1109/isctis58954.2023.10213147 · Cited by 1

Cloud-Edge Multi-Service Data Offloading Optimization for New Type Distribution Grid

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