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- W3199093047 abstract "Configuring network devices is a main task of network operators. However, understanding and consistently updating network configuration files (config) is not an easy task especially in a large-scale and complicated networks. In this paper, we propose a semantic approach to provide better understanding of such config files, different from syntax based approaches. The key idea of the work is to extract semantics of blocks of the config files by document embedding techniques in NLP. This extraction enables us to understand context of config blocks with semantic similarity metrics instead of syntax similarity ones. Furthermore, this approach can be naturally extended to additional technical documents such as vendor’s manual documents to add more specific information on the semantics of configs. We first discuss the quality of the obtained semantics for several embedding techniques, by using clustering evaluations. We next demonstrate the effectiveness of our approach with two case studies with real network configs: (1) similar config block detection and (2) automatic labeling of config block with vendor’s documents." @default.
- W3199093047 created "2021-09-27" @default.
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- W3199093047 date "2021-07-01" @default.
- W3199093047 modified "2023-10-01" @default.
- W3199093047 title "Towards Extracting Semantics of Network Config Blocks" @default.
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- W3199093047 doi "https://doi.org/10.1109/compsac51774.2021.00214" @default.
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