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IEEE Standard for Local and metropolitan networks--Station and Media Access Control Connectivity Discovery Amendment 1: YANG Data Model
IEEE Std 802.1ABcu-2021 (Amendment to IEEE Std 802.1AB-2016)
Year: 2022
Abstract: This amendment to IEEE Std 802.1AB-2016 specifies a Unified Modeling Language (UML)-based information model and a YANG data model that allows configuration and status reporting for bridges and bridge components with regards to topology discovery.
Subject: YANG
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IEEE Standard for Local and metropolitan networks--Station and Media Access Control Connectivity Discovery Amendment 1: YANG Data Model
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| contributor author | IEEE - The Institute of Electrical and Electronics Engineers, Inc. | |
| date accessioned | 2022-07-04T20:40:10Z | |
| date available | 2022-07-04T20:40:10Z | |
| date copyright | 13 April 2022 | |
| date issued | 2022 | |
| identifier other | 9756407.pdf | |
| identifier uri | http://yse.yabesh.ir/std;query=autho162s6596FCDCAC4261590-%20Naval%20/handle/yse/312707 | |
| description abstract | This amendment to IEEE Std 802.1AB-2016 specifies a Unified Modeling Language (UML)-based information model and a YANG data model that allows configuration and status reporting for bridges and bridge components with regards to topology discovery. | |
| language | English | |
| title | IEEE Standard for Local and metropolitan networks--Station and Media Access Control Connectivity Discovery Amendment 1: YANG Data Model | en |
| title | IEEE Std 802.1ABcu-2021 (Amendment to IEEE Std 802.1AB-2016) | num |
| type | Standard | |
| page | 55 | |
| tree | IEEE - The Institute of Electrical and Electronics Engineers, Inc.:;2022 | |
| contenttype | Fulltext | |
| subject keywords | YANG | |
| subject keywords | IEEE 802 | |
| subject keywords | local area networks (LANs) | |
| subject keywords | IEEE 802.1ABcu | |
| subject keywords | IEEE 802.1AB | |
| subject keywords | metropolitan area networks | |
| subject keywords | MAC Bridges | |
| subject keywords | Bridged Local Area Networks | |
| identifier DOI | 10.1109/IEEESTD.2022.9756407 |