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A Survey on Edge Computing Systems and Tools

arXiv 1911.02794 ↗First posted 7 Nov 2019cs.DC cs.NIcited by 17

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Abstract (arXiv)

Driven by the visions of Internet of Things and 5G communications, the edge computing systems integrate computing, storage and network resources at the edge of the network to provide computing infrastructure, enabling developers to quickly develop and deploy edge applications. Nowadays the edge computing systems have received widespread attention in both industry and academia. To explore new research opportunities and assist users in selecting suitable edge computing systems for specific applications, this survey paper provides a comprehensive overview of the existing edge computing systems and introduces representative projects. A comparison of open source tools is presented according to their applicability. Finally, we highlight energy efficiency and deep learning optimization of edge computing systems. Open issues for analyzing and designing an edge computing system are also studied in this survey.

Key facts. Cited by 17 papers in the map (data through 14 Oct 2026). First posted on arXiv 7 Nov 2019.

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Citing papers per year: 2022: 1; 2023: 4; 2024: 5; 2025: 4; 2026: 3.

17 papers.

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  1. 2023Topology-aware Federated Learning in Edge Computing: A Comprehensive Surveycited by 23
  2. 2024NetTrack: Tracking Highly Dynamic Objects with a Netcited by 22
  3. 2023A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Servicescited by 14
  4. 2025Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Surveycited by 14
  5. 2024Training Machine Learning models at the Edge: A Surveycited by 11
  6. 2023Industrial Internet of Things Intelligence Empowering Smart Manufacturing: A Literature Reviewcited by 8
  7. 2022Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature reviewcited by 6
  8. 2023EnforceSNN: Enabling Resilient and Energy-Efficient Spiking Neural Network Inference considering Approximate DRAMs for Embedded Systemscited by 6
  9. 2024Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligencecited by 3
  10. 2025Adaptive AI Agent Placement and Migration in Edge Intelligence Systemscited by 3
  11. 2024Task-Oriented Real-time Visual Inference for IoVT Systems: A Co-design Framework of Neural Networks and Edge Deploymentcited by 0
  12. 2024Enhanced Real-Time Threat Detection in 5G Networks: A Self-Attention RNN Autoencoder Approach for Spectral Intrusion Analysiscited by 0
5 more
  1. 2025MECKD: Deep Learning-Based Fall Detection in Multilayer Mobile Edge Computing With Knowledge Distillationcited by 0
  2. 2025Rethinking Inference Placement for Deep Learning across Edge and Cloud Platforms: A Multi-Objective Optimization Perspective and Future Directionscited by 0
  3. 2026A Delta-Aware Orchestration Framework for Scalable Multi-Agent Edge Computingcited by 0
  4. 2026EdgeServing: Deadline-Aware Multi-DNN Serving at the Edgecited by 0
  5. 2026CST: Collaborative Selective Transmission for Communication-Efficient Multimodal Edge Inferencecited by 0