Intelligent fault prediction method of telecom system
Some approaches based on deep learning would be used to analyze the process and port network on a server cluster.Specifically,the features of nodes were carefully selected in server cluster network,by combining the prior knowledge from actual operations,and the abnormal state of processes or ports o...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2018-06-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018118/ |
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| _version_ | 1841530352165715968 |
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| author | Heng CAI Lei GE |
| author_facet | Heng CAI Lei GE |
| author_sort | Heng CAI |
| collection | DOAJ |
| description | Some approaches based on deep learning would be used to analyze the process and port network on a server cluster.Specifically,the features of nodes were carefully selected in server cluster network,by combining the prior knowledge from actual operations,and the abnormal state of processes or ports on the cluster was predicted.According to the research,the running information such as loads of CPU and memory,communications between processes and the structural features in the process network was valuable in predicting the states of processes and ports; furthermore,the changes of features mentioned above in the time dimension reflected the states of processes or ports,too. |
| format | Article |
| id | doaj-art-23307316f1194833b2d4e1cf5a328f26 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2018-06-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-23307316f1194833b2d4e1cf5a328f262025-01-15T03:04:46ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012018-06-013418319159595710Intelligent fault prediction method of telecom systemHeng CAILei GESome approaches based on deep learning would be used to analyze the process and port network on a server cluster.Specifically,the features of nodes were carefully selected in server cluster network,by combining the prior knowledge from actual operations,and the abnormal state of processes or ports on the cluster was predicted.According to the research,the running information such as loads of CPU and memory,communications between processes and the structural features in the process network was valuable in predicting the states of processes and ports; furthermore,the changes of features mentioned above in the time dimension reflected the states of processes or ports,too.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018118/fault predictiondeep learningbinary classification |
| spellingShingle | Heng CAI Lei GE Intelligent fault prediction method of telecom system Dianxin kexue fault prediction deep learning binary classification |
| title | Intelligent fault prediction method of telecom system |
| title_full | Intelligent fault prediction method of telecom system |
| title_fullStr | Intelligent fault prediction method of telecom system |
| title_full_unstemmed | Intelligent fault prediction method of telecom system |
| title_short | Intelligent fault prediction method of telecom system |
| title_sort | intelligent fault prediction method of telecom system |
| topic | fault prediction deep learning binary classification |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018118/ |
| work_keys_str_mv | AT hengcai intelligentfaultpredictionmethodoftelecomsystem AT leige intelligentfaultpredictionmethodoftelecomsystem |