Interactive Investigation of Traffic Congestion on Fat-Tree Networks Using TREESCOPE
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Date
2018
Journal Title
Journal ISSN
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Publisher
The Eurographics Association and John Wiley & Sons Ltd.
Abstract
Parallel 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.
Description
@article{10.1111:cgf.13442,
journal = {Computer Graphics Forum},
title = {{Interactive Investigation of Traffic Congestion on Fat-Tree Networks Using TREESCOPE}},
author = {Bhatia, Harsh and Jain, Nikhil and Bhatele, Abhinav and Livnat, Yarden and Domke, Jens and Pascucci, Valerio and Bremer, Peer-Timo},
year = {2018},
publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
ISSN = {1467-8659},
DOI = {10.1111/cgf.13442}
}