1998 Fiscal Year Final Research Report Summary
A study of Real-time fault detecting system using information filtering technique
| Project/Area Number |
09680388
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
情報システム学(含情報図書館学)
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| Research Institution | Tohoku University |
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Principal Investigator |
NEMOTO Yoshiaki Tohoku University, Graduate School of Information Sciences, Professor, 大学院・情報科学研究科, 教授 (60005527)
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| Co-Investigator(Kenkyū-buntansha) |
GLENN Mansfi 仙台応用情報学研究振興財団, 主任研究員
SONE Hideaki Tohoku University, Graduate School of Information Sciences, Associate Professor, 大学院・情報科学研究科, 助教授 (40134019)
KATO Nei Tohoku University, Graduate School of Information Sciences, Associate Professor, 大学院・情報科学研究科, 助教授 (00236168)
MANSFIELD Glenn Sendai Applied Science Research Foundation, Senior Researcher.
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| Project Period (FY) |
1997 – 1998
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| Keywords | Information Filtering / Fault Management / Real-time / Symptom Isolation |
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| Research Abstract |
Expansion in scale and speed are the most important features of Internet. Establishing an effective way for fault management becomes the main topic for this computer networks. In this research, we proposed a new system for real-time fault detecting in large scale computer network. We first constructed a traffic monitoring system for collecting the error packets from network traffic flow. Then, we proposed a new algorithm, called Dynamic Symptom Isolation Algorithm, to detect the network fault packets in an effective way, in which filtering technique is applied to suppress the detected error symptom, so that the small fault existing behind the large number faults in the network could be found thoroughly. Our experiments showed that the new system's performance is as twice as the conventional system for detecting faults symptoms in large network environment..
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