The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
A Survey on Edge Computing Systems and Tools
Open accessAbstract
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. At present, 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 paper.
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Cites
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Cited by
Edge computing: current trends, research challenges and future directions
Carvalho, G., Cabral, B., Pereira, V., & Bernardino, J. (2021) · Computing · doi:10.1007/s00607-020-00896-5 · Cited by 223
Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey
Wu, J., Dong, F., Leung, H., Zhu, Z., Zhou, J., & Drew, S. (2024) · ACM Computing Surveys · doi:10.1145/3659205 · Cited by 130
FEEL: A Federated Edge Learning System for Efficient and Privacy-Preserving Mobile Healthcare
Guo, Y., Liu, F., Cai, Z., Chen, L., & Xiao, N. (2020) · 49th International Conference on Parallel Processing - ICPP · doi:10.1145/3404397.3404410 · Cited by 52
Self-citationLiu, B., Luo, Z., Chen, H., & Li, C. (2022) · IEEE Access · doi:10.1109/access.2022.3176106 · Cited by 36
MERRC: A Memristor-Enabled Reconfigurable Low-Power Reservoir Computing Architecture at the Edge
Nowshin, F., Huang, Y., Sarkar, M. R., Xia, Q., & Yi, Y. (2024) · IEEE Transactions on Circuits and Systems I: Regular Papers · doi:10.1109/tcsi.2023.3329337 · Cited by 12
Metadata
- Authors
- Liu, F., Tang, G., Li, Y., Cai, Z., Zhang, X., & Zhou, T.
- Venue
- Proceedings of the IEEE
- Published
- 2019-08
- Volume
- 107
- Issue
- 8
- Pages
- 1537-1562
- ISSN
- 0018-9219 (ISSN-L)
- 1558-2256
- OpenAlex
- W2953738034
- Cited by
- 331
- References
- 73
- FWCI
- 19.69
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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