GUO Yuhui,YAN Yaqi,FU Tao,et al.Analysis on development trends of edge computing power[J].Telecommunications Science,2025,41(11):1-13. DOI: 10.11959/j.issn.1000-0801.2025195.
Analysis on development trends of edge computing power
which delivers core capabilities such as computing and intelligence in proximity
has progressively evolved into critical infrastructure for vertical industries to achieve digital transformation and intelligentization. China has been placing high strategic emphasis on advancing technological innovation
fostering industrial development
and exploring practical applications in the field of edge computing power. A systematic analysis on the holistic development landscape of edge computing power was conducted. The conceptual definitions and distinctive characteristics of edge computing power were elucidated
its technical architecture was systematically organized
prototypical application scenarios were summarized
and developmental challenges alongside strategic recommendations were proposed. These research outcomes provides critical references for advancing technological innovation
infrastructure deployment
and application ecosystems in the domain of edge computing power.
ZHANG X D , ZHANG C K , ZHAO J J . State-of-the-art survey on edge intelligence [J ] . Journal of Computer Research and Development , 2023 , 60 ( 12 ): 2749 - 2769 .
MO Z J , GAO Z P , MIAO D . Edge intelligence: a new exploration for artificial intelligence expanding to edge [J ] . Frontiers of Data & Computing , 2020 , 2 ( 4 ): 16 - 27 .
HOU X P , LAN L , TAO C L , et al . Edge intelligence and collaborative computing: frontiers and advances [J ] . Control and Decision , 2024 , 39 ( 7 ): 2385 - 2404 .
YU Z J , LEI N B , MO Y , et al . Remaining useful life prediction based on federated learning and cloud-edge collaboration [J ] . Journal of Tsinghua University (Science and Technology) , 2025 , 65 ( 5 ): 901 - 911 .
JIANG J , ZHANG J R , PAN J L , et al . Edge model collaboration and data compression algorithm for unmanned systems in sea [J ] . Systems Engineering and Electronics , 2025 , 47 ( 5 ): 1718 - 1727 .
CHEN J W , SHEN Y L , YANG F , et al . Knowledge distillation for scene text detection via mask information entropy transfer [J ] . Journal of Software , 2025 : 1 - 20 .
ZHAO C C , LYU F , SHI B , et al . Review of collaborative inference methods for edge intelligence [J ] . Computer Engineering and Applications , 2025 , 61 ( 3 ): 1 - 20 .
JIN B Y . Research on deployment and resource scheduling of split learning models in edge networks [D ] . Beijing : Beijing University of Posts and Telecommunications , 2024 .
CHENG E . Research on model early-exit network structure optimization and threshold setting for mobile terminals [D ] . Changsha : Central South University , 2023 .
LIU Y , LI F , ZHENG Z C . Desensitization method of oil and gas curve image based on context encoder network [J ] . Computer Applications and Software , 2024 , 41 ( 2 ): 216 - 221 .
ZHENG L , YUAN M H , PEI F Q , et al . Research on data acquisition and preprocessing method based on intelligent manufacturing shop [J ] . Manufacturing Technology & Machine Tool , 2022 ( 10 ): 85 - 90 .
YIN H S , LIU W F , YU X , et al . Bearing fault diagnosis based on multi-scale transfer learning [J ] . Machinery Design & Manufacture , 2025 ( 1 ): 10 - 14 .
YANG D , CHENG Z R , TIAN W K , et al . Generalized deterministic identification networks [J ] . Acta Electronica Sinica , 2024 , 52 ( 1 ): 1 - 18 .
LONG Y X , WANG Z Y , LAN S Z , et al . Energy-latency tradeoff for task offloading and resource allocation in vehicular edge computing [J ] . Computer Networks , 2025 , 258 : 111026 .
PANG S C , CHENG Y Z , HE X , et al . Multi-user motion state task offloading strategy for load balancing in mobile edge computing networks [J ] . Ad Hoc Networks , 2025 , 169 : 103759 .
MAHESAR A R , LI X P , SAJNANI D K . Enhancing task scheduling and QoS optimization in mobile edge computing via microservice-orientedcontainer selection [J ] . Computing , 2025 , 107 ( 2 ): 60 .
FU T , ZHANG H S . The system architecture and decision mechanism of the deterministic application layer in the industrial internet [C ] // Proceedings of the 2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE) . Piscataway : IEEE Press , 2023 : 18 - 25 .