Interactive Investigation of Traffic Congestion on Fat-Tree Networks Using TREESCOPE

dc.contributor.authorBhatia, Harshen_US
dc.contributor.authorJain, Nikhilen_US
dc.contributor.authorBhatele, Abhinaven_US
dc.contributor.authorLivnat, Yardenen_US
dc.contributor.authorDomke, Jensen_US
dc.contributor.authorPascucci, Valerioen_US
dc.contributor.authorBremer, Peer-Timoen_US
dc.contributor.editorJeffrey Heer and Heike Leitte and Timo Ropinskien_US
dc.date.accessioned2018-06-02T18:09:41Z
dc.date.available2018-06-02T18:09:41Z
dc.date.issued2018
dc.description.abstractParallel simulation codes often suffer from performance bottlenecks due to network congestion, leaving millions of dollars of investments underutilized. Given a network topology, it is critical to understand how different applications, job placements, routing schemes, etc., are affected by and contribute to network congestion, especially for large and complex networks. Understanding and optimizing communication on large-scale networks is an active area of research. Domain experts often use exploratory tools to develop both intuitive and formal metrics for network health and performance. This paper presents TREESCOPE, an interactive, web-based visualization tool for exploring network traffic on large-scale fat-tree networks. TREESCOPE encodes the network topology using a tailored matrix-based representation and provides detailed visualization of all traffic in the network. We report on the design process of TREESCOPE, which has been received positively by network researchers as well as system administrators. Through case studies of real and simulated data, we demonstrate how TREESCOPE's visual design and interactive support for complex queries on network traffic can provide experts with new insights into the occurrences and causes of congestion in the network.en_US
dc.description.number3
dc.description.sectionheadersTrees and Graphs
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume37
dc.identifier.doi10.1111/cgf.13442
dc.identifier.issn1467-8659
dc.identifier.pages561-572
dc.identifier.urihttps://doi.org/10.1111/cgf.13442
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13442
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectHuman
dc.subjectcentered computing
dc.subjectVisualization application domains
dc.subjectVisual analytics
dc.titleInteractive Investigation of Traffic Congestion on Fat-Tree Networks Using TREESCOPEen_US
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