Proactive network management using remote monitoring and artificial intelligence techniques
This article describes the effort to join two different approaches for the development of the proactive network management. The first approach was developed in the Laboratory of Network and Management, at Federal University of Santa Catarina, which uses remote monitoring and simulation tools. The se...
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creator | de Franceschi, A.S.M. da Rocha, M.A. Weber, H.L. Westphall, C.B. |
description | This article describes the effort to join two different approaches for the development of the proactive network management. The first approach was developed in the Laboratory of Network and Management, at Federal University of Santa Catarina, which uses remote monitoring and simulation tools. The second one, was developed in the National Supercomputing Center, which handles the problem with artificial intelligence and SunNet Manager's agents usage. The new concept of proactive network management aims at identifying the existing troubles in advance of any performance degradation, as well as providing support for future decision-making actions. The goal of this work is to adapt a complete proactive environment which will be used to explore the remote monitors and simulation tools to identify the symptoms of proactive management problems; and specially to recognize the problem using artificial intelligence techniques and to take proactive actions to solve it, configuring a proactive management application for the prevention of problems in computer networks. |
doi_str_mv | 10.1109/ISCC.1997.615990 |
format | Conference Proceeding |
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The goal of this work is to adapt a complete proactive environment which will be used to explore the remote monitors and simulation tools to identify the symptoms of proactive management problems; and specially to recognize the problem using artificial intelligence techniques and to take proactive actions to solve it, configuring a proactive management application for the prevention of problems in computer networks.</description><subject>Artificial intelligence</subject><subject>Computational modeling</subject><subject>Computer displays</subject><subject>Computer network management</subject><subject>Computer simulation</subject><subject>Decision making</subject><subject>Degradation</subject><subject>Environmental management</subject><subject>Laboratories</subject><subject>Remote monitoring</subject><isbn>9780818678523</isbn><isbn>0818678526</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1997</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkE1LxDAURQMiKGP34ip_oGOSNk2ylOLHwICCunIxvGZe6tM21TSj-O8dGe_mwllcOJexcymWUgp3uXps26V0ziwbqZ0TR6xwxgorbWOsVtUJK-b5TeyjtZWVPWUvD2kCn-kLecT8PaV3PkKEHkeMme9mij1POE4Z-ThFylP6IxC3HFKmQJ5g4BQzDgP1GD3yjP410ucO5zN2HGCYsfjvBXu-uX5q78r1_e2qvVqXJEWdSwUCQxeU3wrZdWAq5TWoBoMOAo0N1nhrMNTWO606aPTepdagJdoGalDVgl0cdgkRNx-JRkg_m8MD1S_dCVP2</recordid><startdate>1997</startdate><enddate>1997</enddate><creator>de Franceschi, A.S.M.</creator><creator>da Rocha, M.A.</creator><creator>Weber, H.L.</creator><creator>Westphall, C.B.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1997</creationdate><title>Proactive network management using remote monitoring and artificial intelligence techniques</title><author>de Franceschi, A.S.M. ; da Rocha, M.A. ; Weber, H.L. ; Westphall, C.B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i104t-2a0efbf2cd01bba732c5a26ef5f0e78f87c87ef48c952ba6567845a51e86a4a23</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1997</creationdate><topic>Artificial intelligence</topic><topic>Computational modeling</topic><topic>Computer displays</topic><topic>Computer network management</topic><topic>Computer simulation</topic><topic>Decision making</topic><topic>Degradation</topic><topic>Environmental management</topic><topic>Laboratories</topic><topic>Remote monitoring</topic><toplevel>online_resources</toplevel><creatorcontrib>de Franceschi, A.S.M.</creatorcontrib><creatorcontrib>da Rocha, M.A.</creatorcontrib><creatorcontrib>Weber, H.L.</creatorcontrib><creatorcontrib>Westphall, C.B.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>de Franceschi, A.S.M.</au><au>da Rocha, M.A.</au><au>Weber, H.L.</au><au>Westphall, C.B.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Proactive network management using remote monitoring and artificial intelligence techniques</atitle><btitle>Proceedings Second IEEE Symposium on Computer and Communications</btitle><stitle>ISCC</stitle><date>1997</date><risdate>1997</risdate><spage>167</spage><epage>171</epage><pages>167-171</pages><isbn>9780818678523</isbn><isbn>0818678526</isbn><abstract>This article describes the effort to join two different approaches for the development of the proactive network management. The first approach was developed in the Laboratory of Network and Management, at Federal University of Santa Catarina, which uses remote monitoring and simulation tools. The second one, was developed in the National Supercomputing Center, which handles the problem with artificial intelligence and SunNet Manager's agents usage. The new concept of proactive network management aims at identifying the existing troubles in advance of any performance degradation, as well as providing support for future decision-making actions. The goal of this work is to adapt a complete proactive environment which will be used to explore the remote monitors and simulation tools to identify the symptoms of proactive management problems; and specially to recognize the problem using artificial intelligence techniques and to take proactive actions to solve it, configuring a proactive management application for the prevention of problems in computer networks.</abstract><pub>IEEE</pub><doi>10.1109/ISCC.1997.615990</doi><tpages>5</tpages></addata></record> |
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subjects | Artificial intelligence Computational modeling Computer displays Computer network management Computer simulation Decision making Degradation Environmental management Laboratories Remote monitoring |
title | Proactive network management using remote monitoring and artificial intelligence techniques |
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