Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/19825
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dc.contributor.authorMak, Yoke Lai.en_US
dc.date.accessioned2009-12-14T06:42:20Z-
dc.date.available2009-12-14T06:42:20Z-
dc.date.copyright1997en_US
dc.date.issued1997-
dc.identifier.urihttp://hdl.handle.net/10356/19825-
dc.description.abstractAs organizations are increasingly dependent on distributed computing systems, they become more exposed to the inherent risks of such complex systems. Performance inefficiency, resource allocations, security compromises and accounting are some of the problems associated with the operations of these systems. Interest in distributed network management has been stimulated by such growing system complexity. Traditional centralized management approach relies on a single network management system to collect, aggregate and process all data. The shortfalls of using such an approach in managing complex distributed networks are: i) a great amount of network bandwidth will have to be devoted for management traffic which need to travel many network segments before reaching the centralized manager, ii) the processing power requirement of the centralized manager increases as the network size grows, making it an unlikely scaleable solution in network management.en_US
dc.format.extent90 p.-
dc.language.isoen-
dc.rightsNANYANG TECHNOLOGICAL UNIVERSITYen_US
dc.subjectDRNTU::Engineering::Computer science and engineering::Computer systems organization::Computer-communication networksen_US
dc.titleDistributed network managementen_US
dc.typeThesisen_US
dc.contributor.supervisorAng, Yew Hocken_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeMaster of Science (Communication and Network Systems)en_US
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