Case diagrams: a first step to diagrammed management information bases
ACM SIGCOMM Computer Communication Review
SNMP, SNMPv2, and CMIP: the practical guide to network management
SNMP, SNMPv2, and CMIP: the practical guide to network management
The simple book (2nd ed.): an introduction to internet management
The simple book (2nd ed.): an introduction to internet management
Fault detection in an Ethernet network using anomaly signature matching
SIGCOMM '93 Conference proceedings on Communications architectures, protocols and applications
Schemes for fault identification in communication networks
IEEE/ACM Transactions on Networking (TON)
Time Series Analysis, Forecasting and Control
Time Series Analysis, Forecasting and Control
A Generic Model for Fault Isolation in IntegratedManagement Systems
Journal of Network and Systems Management
Proactive Network Fault Detection
INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
Automatic alarm correlation for fault identification
INFOCOM '95 Proceedings of the Fourteenth Annual Joint Conference of the IEEE Computer and Communication Societies (Vol. 2)-Volume - Volume 2
Temporal network management model
Computer Communications
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The detection of network fault scenarios wasachieved using an appropriate subset of ManagementInformation Base (MIB) variables. Anomalous changes inthe behavior of the MIB variables was detected using a sequential Generalized Likelihood Ratio (GLR)test. This information was then temporally correlatedusing a duration filter to provide node level alarmswhich correlated with observed network faults and performance problems. The algorithm wasimplemented on data obtained from two different networknodes. The algorithm was optimized using five of thenine fault data sets, and it proved general enough to detect three of the remaining four faults.Consistent results were obtained from the second node aswell. Detection of most faults occurred in advance (atleast 5 minutes) of the fault suggesting the possibility of prediction and recovery in thefuture.