G-NetMon: A GPU-accelerated network performance monitoring system for large scale scientific collaborations

We have prototyped a GPU-accelerated network performance monitoring system, called G-NetMon, to support large-scale scientific collaborations at Fermilab. Our system exploits the data parallelism that exists within network flow data to provide fast analysis of bulk data movement between Fermilab and...

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Bibliographic Details
Published in2011 IEEE 36th Conference on Local Computer Networks pp. 195 - 198
Main Authors Wenji Wu, DeMar, Phil, Holmgren, Don, Singh, Amitoj, Pordes, Ruth
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2011
Subjects
Collaboration
Flow Analysis
GPU
Graphics processing unit
High-speed netwworks
Instruction sets
Kernel
Monitoring
Network Performance Monitoring
Optimization
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Summary:We have prototyped a GPU-accelerated network performance monitoring system, called G-NetMon, to support large-scale scientific collaborations at Fermilab. Our system exploits the data parallelism that exists within network flow data to provide fast analysis of bulk data movement between Fermilab and collaboration sites. Experiments demonstrate that our G-NetMon can rapidly detect sub-optimal bulk data movements.
ISBN:1612849261
9781612849263
ISSN:0742-1303
DOI:10.1109/LCN.2011.6115186