A Logical Architecture for Active Network Management
This paper focuses on improving network management by exploiting the potential of “doing” of the Active Networks technology, together with the potential of “planning,” which is typical of the artificial intelligent systems. We propose a distributed multiagent architecture for Active Network manageme...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Gaglio, Salvatore [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2006 |
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| Anmerkung: |
© Springer-Verlag 2006 |
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| Übergeordnetes Werk: |
Enthalten in: Journal of network and systems management - Springer US, 1993, 14(2006), 1 vom: März, Seite 127-146 |
|---|---|
| Übergeordnetes Werk: |
volume:14 ; year:2006 ; number:1 ; month:03 ; pages:127-146 |
| Links: |
|---|
| DOI / URN: |
10.1007/s10922-005-9012-7 |
|---|
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OLC2066985333 |
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| 520 | |a This paper focuses on improving network management by exploiting the potential of “doing” of the Active Networks technology, together with the potential of “planning,” which is typical of the artificial intelligent systems. We propose a distributed multiagent architecture for Active Network management, which exploits the dynamic reasoning capabilities of the Situation Calculus in order to emulate the reactive behavior of a human expert to fault situations. The information related to network events is generated by programmable sensors deployed across the network. A logical entity collects this information, in order to merge it with general domain knowledge, with a view to identifying the root causes of faults, and to deciding on reparative actions. The logical inference system has been devised to carry out automated isolation, diagnosis, and even repair of network anomalies, thus enhancing the reliability, performance, and security of the network. Experimental results illustrate the Reasoner capability of correctly recognizing fault situations and undertaking management actions. | ||
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10.1007/s10922-005-9012-7 doi (DE-627)OLC2066985333 (DE-He213)s10922-005-9012-7-p DE-627 ger DE-627 rakwb eng 004 VZ Gaglio, Salvatore verfasserin aut A Logical Architecture for Active Network Management 2006 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2006 This paper focuses on improving network management by exploiting the potential of “doing” of the Active Networks technology, together with the potential of “planning,” which is typical of the artificial intelligent systems. We propose a distributed multiagent architecture for Active Network management, which exploits the dynamic reasoning capabilities of the Situation Calculus in order to emulate the reactive behavior of a human expert to fault situations. The information related to network events is generated by programmable sensors deployed across the network. A logical entity collects this information, in order to merge it with general domain knowledge, with a view to identifying the root causes of faults, and to deciding on reparative actions. The logical inference system has been devised to carry out automated isolation, diagnosis, and even repair of network anomalies, thus enhancing the reliability, performance, and security of the network. Experimental results illustrate the Reasoner capability of correctly recognizing fault situations and undertaking management actions. Gatani, Luca aut Lo Re, Giuseppe aut Urso, Alfonso aut Enthalten in Journal of network and systems management Springer US, 1993 14(2006), 1 vom: März, Seite 127-146 (DE-627)182373657 (DE-600)1202352-8 (DE-576)9182373655 1064-7570 nnns volume:14 year:2006 number:1 month:03 pages:127-146 https://doi.org/10.1007/s10922-005-9012-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_70 AR 14 2006 1 03 127-146 |
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10.1007/s10922-005-9012-7 doi (DE-627)OLC2066985333 (DE-He213)s10922-005-9012-7-p DE-627 ger DE-627 rakwb eng 004 VZ Gaglio, Salvatore verfasserin aut A Logical Architecture for Active Network Management 2006 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2006 This paper focuses on improving network management by exploiting the potential of “doing” of the Active Networks technology, together with the potential of “planning,” which is typical of the artificial intelligent systems. We propose a distributed multiagent architecture for Active Network management, which exploits the dynamic reasoning capabilities of the Situation Calculus in order to emulate the reactive behavior of a human expert to fault situations. The information related to network events is generated by programmable sensors deployed across the network. A logical entity collects this information, in order to merge it with general domain knowledge, with a view to identifying the root causes of faults, and to deciding on reparative actions. The logical inference system has been devised to carry out automated isolation, diagnosis, and even repair of network anomalies, thus enhancing the reliability, performance, and security of the network. Experimental results illustrate the Reasoner capability of correctly recognizing fault situations and undertaking management actions. Gatani, Luca aut Lo Re, Giuseppe aut Urso, Alfonso aut Enthalten in Journal of network and systems management Springer US, 1993 14(2006), 1 vom: März, Seite 127-146 (DE-627)182373657 (DE-600)1202352-8 (DE-576)9182373655 1064-7570 nnns volume:14 year:2006 number:1 month:03 pages:127-146 https://doi.org/10.1007/s10922-005-9012-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_70 AR 14 2006 1 03 127-146 |
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10.1007/s10922-005-9012-7 doi (DE-627)OLC2066985333 (DE-He213)s10922-005-9012-7-p DE-627 ger DE-627 rakwb eng 004 VZ Gaglio, Salvatore verfasserin aut A Logical Architecture for Active Network Management 2006 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2006 This paper focuses on improving network management by exploiting the potential of “doing” of the Active Networks technology, together with the potential of “planning,” which is typical of the artificial intelligent systems. We propose a distributed multiagent architecture for Active Network management, which exploits the dynamic reasoning capabilities of the Situation Calculus in order to emulate the reactive behavior of a human expert to fault situations. The information related to network events is generated by programmable sensors deployed across the network. A logical entity collects this information, in order to merge it with general domain knowledge, with a view to identifying the root causes of faults, and to deciding on reparative actions. The logical inference system has been devised to carry out automated isolation, diagnosis, and even repair of network anomalies, thus enhancing the reliability, performance, and security of the network. Experimental results illustrate the Reasoner capability of correctly recognizing fault situations and undertaking management actions. Gatani, Luca aut Lo Re, Giuseppe aut Urso, Alfonso aut Enthalten in Journal of network and systems management Springer US, 1993 14(2006), 1 vom: März, Seite 127-146 (DE-627)182373657 (DE-600)1202352-8 (DE-576)9182373655 1064-7570 nnns volume:14 year:2006 number:1 month:03 pages:127-146 https://doi.org/10.1007/s10922-005-9012-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_70 AR 14 2006 1 03 127-146 |
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10.1007/s10922-005-9012-7 doi (DE-627)OLC2066985333 (DE-He213)s10922-005-9012-7-p DE-627 ger DE-627 rakwb eng 004 VZ Gaglio, Salvatore verfasserin aut A Logical Architecture for Active Network Management 2006 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2006 This paper focuses on improving network management by exploiting the potential of “doing” of the Active Networks technology, together with the potential of “planning,” which is typical of the artificial intelligent systems. We propose a distributed multiagent architecture for Active Network management, which exploits the dynamic reasoning capabilities of the Situation Calculus in order to emulate the reactive behavior of a human expert to fault situations. The information related to network events is generated by programmable sensors deployed across the network. A logical entity collects this information, in order to merge it with general domain knowledge, with a view to identifying the root causes of faults, and to deciding on reparative actions. The logical inference system has been devised to carry out automated isolation, diagnosis, and even repair of network anomalies, thus enhancing the reliability, performance, and security of the network. Experimental results illustrate the Reasoner capability of correctly recognizing fault situations and undertaking management actions. Gatani, Luca aut Lo Re, Giuseppe aut Urso, Alfonso aut Enthalten in Journal of network and systems management Springer US, 1993 14(2006), 1 vom: März, Seite 127-146 (DE-627)182373657 (DE-600)1202352-8 (DE-576)9182373655 1064-7570 nnns volume:14 year:2006 number:1 month:03 pages:127-146 https://doi.org/10.1007/s10922-005-9012-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_70 AR 14 2006 1 03 127-146 |
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This paper focuses on improving network management by exploiting the potential of “doing” of the Active Networks technology, together with the potential of “planning,” which is typical of the artificial intelligent systems. We propose a distributed multiagent architecture for Active Network management, which exploits the dynamic reasoning capabilities of the Situation Calculus in order to emulate the reactive behavior of a human expert to fault situations. The information related to network events is generated by programmable sensors deployed across the network. A logical entity collects this information, in order to merge it with general domain knowledge, with a view to identifying the root causes of faults, and to deciding on reparative actions. The logical inference system has been devised to carry out automated isolation, diagnosis, and even repair of network anomalies, thus enhancing the reliability, performance, and security of the network. Experimental results illustrate the Reasoner capability of correctly recognizing fault situations and undertaking management actions. © Springer-Verlag 2006 |
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This paper focuses on improving network management by exploiting the potential of “doing” of the Active Networks technology, together with the potential of “planning,” which is typical of the artificial intelligent systems. We propose a distributed multiagent architecture for Active Network management, which exploits the dynamic reasoning capabilities of the Situation Calculus in order to emulate the reactive behavior of a human expert to fault situations. The information related to network events is generated by programmable sensors deployed across the network. A logical entity collects this information, in order to merge it with general domain knowledge, with a view to identifying the root causes of faults, and to deciding on reparative actions. The logical inference system has been devised to carry out automated isolation, diagnosis, and even repair of network anomalies, thus enhancing the reliability, performance, and security of the network. Experimental results illustrate the Reasoner capability of correctly recognizing fault situations and undertaking management actions. © Springer-Verlag 2006 |
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This paper focuses on improving network management by exploiting the potential of “doing” of the Active Networks technology, together with the potential of “planning,” which is typical of the artificial intelligent systems. We propose a distributed multiagent architecture for Active Network management, which exploits the dynamic reasoning capabilities of the Situation Calculus in order to emulate the reactive behavior of a human expert to fault situations. The information related to network events is generated by programmable sensors deployed across the network. A logical entity collects this information, in order to merge it with general domain knowledge, with a view to identifying the root causes of faults, and to deciding on reparative actions. The logical inference system has been devised to carry out automated isolation, diagnosis, and even repair of network anomalies, thus enhancing the reliability, performance, and security of the network. Experimental results illustrate the Reasoner capability of correctly recognizing fault situations and undertaking management actions. © Springer-Verlag 2006 |
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