{"title":"Failure-Aware and Automated Disaster Backup in the 5G Core Network","authors":"Huahong Zhu, Jianzhao Li, Jianyuan Hu, Wenyun Li","doi":"10.1109/CECCC56460.2022.10069046","DOIUrl":null,"url":null,"abstract":"To meet the operator-specified reliability target, operators spend more money augmenting the redundancy of the 5G core network. A key challenge is striking the balance between cost and reliability, as these are inherently at odds; the network lack of redundant deployment might not be able to obtain high reliability. We propose a novel method to this challenge that draws inspiration from 5G-advanced and 6G evolution. The Network Data Analytics Function (NWDAF) provides a means for intelligent control and scheduling based on the ability of data analysis. Our method enables Home Subscriber Server(HSS) as the backup of the Unified Data Management(UDM) by automated transferring in real time, when NWDAF detects all UDMs failing. The mechanism and procedures of automated disaster backup and recovery are described in detail. Finally, the effectiveness of the proposed method is analyzed by Fault Tree Analysis(FTA) and probability theory with qualitative and quantitative evaluation.","PeriodicalId":155272,"journal":{"name":"2022 International Communication Engineering and Cloud Computing Conference (CECCC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Communication Engineering and Cloud Computing Conference (CECCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CECCC56460.2022.10069046","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
To meet the operator-specified reliability target, operators spend more money augmenting the redundancy of the 5G core network. A key challenge is striking the balance between cost and reliability, as these are inherently at odds; the network lack of redundant deployment might not be able to obtain high reliability. We propose a novel method to this challenge that draws inspiration from 5G-advanced and 6G evolution. The Network Data Analytics Function (NWDAF) provides a means for intelligent control and scheduling based on the ability of data analysis. Our method enables Home Subscriber Server(HSS) as the backup of the Unified Data Management(UDM) by automated transferring in real time, when NWDAF detects all UDMs failing. The mechanism and procedures of automated disaster backup and recovery are described in detail. Finally, the effectiveness of the proposed method is analyzed by Fault Tree Analysis(FTA) and probability theory with qualitative and quantitative evaluation.