DocumentCode :
603180
Title :
Probe station placement algorithm for probe set reduction in network fault localization
Author :
Patil, Basavaraj ; Kinger, S. ; Pathak, V.K.
Author_Institution :
MIT, Pune, India
fYear :
2013
fDate :
9-10 March 2013
Firstpage :
164
Lastpage :
169
Abstract :
Fault diagnosis is a central aspect of network fault management. Since faults are unavoidable in communication systems, their quick detection and isolation is essential for the robustness, reliability, and accessibility of a system. Probing technique for fault localization involves placement of probe stations (Probe stations are specially instrumented nodes from where probes can be sent to monitor the network) which affects the diagnosis capability of the probes sent by the probe stations. Probe station locations affect probing efficiency, monitoring capability, and deployment cost. At the same time, probe station selection affects the selection of probe set for fault localization. We are presenting a novel approach for minimal probe station selection with an objective to reduce probe set size that will be used for fault localization. The probe station selected through this approach results into reduced deployment cost as well as it helps in producing smaller probe set for fault localization reducing overall operation cost. We provide experimental evaluation of the proposed algorithms through simulation results.
Keywords :
computer network management; computer network reliability; fault diagnosis; fault tolerant computing; system monitoring; communication system; deployment cost; fault detection; fault diagnosis; fault isolation; monitoring capability; network fault localization; network fault management; network monitoring; operation cost reduction; probe set reduction; probe station placement algorithm; probe station selection; probing efficiency; probing technique; system accessibility; system reliability; system robustness; Computer networks; Delays; Fault detection; Information systems; Monitoring; Probes; Signal to noise ratio; Adaptive probing; Fault diagnosis; Network monitoring; Probe station selection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Systems and Computer Networks (ISCON), 2013 International Conference on
Conference_Location :
Mathura
Print_ISBN :
978-1-4673-5987-0
Type :
conf
DOI :
10.1109/ICISCON.2013.6524195
Filename :
6524195
Link To Document :
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