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Network ManagementWhat is network management?Main componentsInternet management infrastructureSNMP protocolNetwork tomographySlide 7Slide 8Slide 9Why end-to-endTomography techniquesWireless network managementWireless network management: a glimpse1Network Managementintroductionmotivationmajor componentswired network managementInternet management infrastructuretomography (using end-to-end measurement)wireless network management2What is network management?Network: autonomous system, 100s or 1000s of interacting hardware/software components"Network management” includes the deployment, integration and coordination of the hardware, software, and human elements to monitor, test, poll, configure, analyze, evaluate, and control the network and element resources to meet the real-time, operational performance, and Quality of Service requirements at a reasonable cost."3Main componentsperformance/fault managementperformance issues or faulty conditions: throughput, utilization, losses, delays device or end-to-end pathconfiguration managementwhich devices are on network and their configuration?accounting managementspecify usage quota, usage-based charging, allocate resource-access priviledgesecurity managementcontrol access to network resources according to some well-defined policy4Internet management infrastructureagentdataagentdataagentdataagentdatamanaged devicemanaged devicemanaged devicemanaged devicemanagingentitydatanetworkmanagementProtocol (SNMP)definitions:managed devices containmanaged objects whose data is gathered into aManagement InformationBase (MIB) managing entity5SNMP protocolTwo ways to convey MIB info, commands:agentdataManaged devicemanagingentityresponseagentdataManaged devicemanagingentitytrap msgrequestrequest/response modetrap mode6Network tomographyGoal: obtain detailed picture of a network/internet from end-to-end viewsinfer topology /connectivity7Network tomographyGoal: obtain detailed picture of a network/internet from end-to-end viewsinfer link-levellossdelayavailable bandwidth. . .8Brain tomographyunknown objectcounting &projectionMaximumlikelihood estimateperforminferenceinverse function problemdata statistical model brain model9Network tomographyrouting &countingdataqueuing behaviorbinomialperforminferenceinverse function problem10Why end-to-endno participation by network neededmeasurement probes: regular packetsno administrative access neededinference across multiple domainsno cooperation requiredmonitor service level agreements11Tomography techniquesmany techniques have been developedusing packet correlationmulticast-based measurementunicast-based measurementnot using packet correlationusing MLE…12Wireless network managementstill in early stagechallenges (limited battery, interference, mobility)questions to be answered:what infrastructure should be used?•central managing entity? agent and MIBs at each node?•how to transfer data to managing entity?how to set power for each node?which channel should a node use?management when topology is dynamic?security management?…13Wireless network management: a glimpsewe’ll look at two papers on managing wireless LANsenterprise networks (well-planned)•fault managementhotspot networks (chaotic)•reducing


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UConn CSE 5300 - Network Management

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