NEWS: Towards an Early Warning System for Network Faults
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Abstract
Efficient network fault detection is a complex process especially when scale, heterogeneity of devices and interconnectivity issues are factored in. Network Management Stations rely on performing polling via ICMP and SNMP for the observed network topology while also correlating asynchronous device-level events/traps to determine the root-cause for network fault. As the size of the network increases, both approaches suffer from delays and inaccuracies. This research paper proposes a theoretical framework for an early warning system for network faults based on analysis of the past behavior of the network and creating spatial and temporal patterns of correlated events. Early warning events aid in quick detection/classification of faults and provide some headroom for the human administrators to take preventive action to reduce impact of impending faults.
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How to Cite
Purnendu Prabhat, & Ankur Gupta. (2016). NEWS: Towards an Early Warning System for Network Faults. International Journal of Next-Generation Computing, 7(3), 238–249. https://doi.org/10.47164/ijngc.v7i3.119
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