Title:
NETWORK INFORMATION COLLECTION DEVICE AND METHOD THEREFOR
Document Type and Number:
WIPO Patent Application WO/2020/166358
Kind Code:
A1
Abstract:
The present invention provides a network information collection device which establishes connections in a one-to-one relation between an artificial intelligence and each of a plurality of systems, for example. The network information collection device comprises: an information collection and accumulation unit 10 which collects and accumulates information from each of management systems 71-75 which manage a plurality of devices configuring a network; an association information generation unit 20 which generates association information in which the aforementioned information is associated with connection relations of the plurality of devices managed by the management systems 71-75; and a distribution unit 30 which externally distributes the association information at a designated granularity. The association information generation unit 20 comprises: a log aggregation unit 21 which records a change in the state of each of the plurality of devices; an interlayer association unit 22 which associates the aforementioned information with interlayer connection relations of the devices; and a time-series arrangement unit 23 which arranges, in time-series, the aforementioned information and the change in the states recorded by the log aggregation unit 21.
Inventors:
TAKADA ATSUSHI (JP)
TANJI NAOYUKI (JP)
YAMAGOE KYOKO (JP)
TANJI NAOYUKI (JP)
YAMAGOE KYOKO (JP)
Application Number:
PCT/JP2020/003472
Publication Date:
August 20, 2020
Filing Date:
January 30, 2020
Export Citation:
Assignee:
NIPPON TELEGRAPH & TELEPHONE (JP)
International Classes:
H04L12/24
Foreign References:
| JP2018147172A | 2018-09-20 |
Other References:
ITOI, KENJI: "Automatic Fault Location Prediction Technology to Aid in Troubleshooting Knowledgebase Creation and Acceleration", NTT GIJUTSU JOURNAL, vol. 29, no. 5, 1 May 2017 (2017-05-01), pages 60 - 64
NAKAMURA, MIZUTO: "Study on multi-layer configuration management technique using traffic information", IEICE TECHNICAL REPORT, vol. 118, no. 420, 17 January 2019 (2019-01-17), pages 9 - 14
OKURA, AKIHITO: "Proactive/Multipath QoS Control for IP-Based Cellular Network", IEICE TECHNICAL REPORT, vol. 104, no. 276, 26 August 2004 (2004-08-26), pages 31 - 34
ISHIBASHI, KEISUKE: "Using Machine Learning and Data Analysis for Network Design and Operational Improvement, ''Detection Target Information Source and Feature Amount Expansion", NTT GIJUTSU JOURNAL, vol. 27, no. 12, 1 December 2015 (2015-12-01), pages 29 - 33
WATANABE, KEISHIRO: "Using Network AI to Create New Value, ''Overview of Network Anomaly Detection'', ''Overview of Fault Location Automatic Prediction'', ''Verification Status of Network Anomaly Detection in Companies", NTT GIJUTSU JOURNAL, vol. 30, no. 3, 1 March 2018 (2018-03-01), pages 13 - 17
TAKADA, ATSUSHI: "Study of Requirements for Services Fault Management in Big Data Management System", IEICE TECHNICAL REPORT, vol. 118, no. 483, 28 February 2019 (2019-02-28), pages 111 - 116
NAKAMURA, MIZUTO: "Study on multi-layer configuration management technique using traffic information", IEICE TECHNICAL REPORT, vol. 118, no. 420, 17 January 2019 (2019-01-17), pages 9 - 14
OKURA, AKIHITO: "Proactive/Multipath QoS Control for IP-Based Cellular Network", IEICE TECHNICAL REPORT, vol. 104, no. 276, 26 August 2004 (2004-08-26), pages 31 - 34
ISHIBASHI, KEISUKE: "Using Machine Learning and Data Analysis for Network Design and Operational Improvement, ''Detection Target Information Source and Feature Amount Expansion", NTT GIJUTSU JOURNAL, vol. 27, no. 12, 1 December 2015 (2015-12-01), pages 29 - 33
WATANABE, KEISHIRO: "Using Network AI to Create New Value, ''Overview of Network Anomaly Detection'', ''Overview of Fault Location Automatic Prediction'', ''Verification Status of Network Anomaly Detection in Companies", NTT GIJUTSU JOURNAL, vol. 30, no. 3, 1 March 2018 (2018-03-01), pages 13 - 17
TAKADA, ATSUSHI: "Study of Requirements for Services Fault Management in Big Data Management System", IEICE TECHNICAL REPORT, vol. 118, no. 483, 28 February 2019 (2019-02-28), pages 111 - 116
Attorney, Agent or Firm:
MIYOSHI Hidekazu et al. (JP)
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