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DTSTART:19700308T020000
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DTSTAMP:20200129T163603Z
LOCATION:501
DTSTART;TZID=America/Denver:20191117T153000
DTEND;TZID=America/Denver:20191117T155500
UID:submissions.supercomputing.org_SC19_sess103_ws_indis115@linklings.com
SUMMARY:G2: A Network Optimization Framework for High-Precision Analysis o
 f Bottleneck and Flow Performance
DESCRIPTION:Workshop\n\nG2: A Network Optimization Framework for High-Prec
 ision Analysis of Bottleneck and Flow Performance\n\nRos-Giralt\n\nCongest
 ion control algorithms for data networks have been the subject of intense 
 research for the last three decades. While most of the work has focused ar
 ound the characterization of a flow's bottleneck link, understanding the i
 nteractions amongst links and the ripple effects that perturbations in a l
 ink can cause on the rest of the network has remained much less understood
 . The Theory of Bottleneck Ordering is a recently developed mathematical f
 ramework that reveals the bottleneck structure of a network and provides a
  model to understand such effects. In this paper we present G2, the first 
 operational network optimization framework that utilizes this new theoreti
 cal framework to characterize with high-precision the performance of bottl
 enecks and flows. G2 generates an interactive graph structure that describ
 es how perturbations in links and flows propagate, providing operators new
  optimization insights and traffic engineering recommendations to help imp
 rove network performance. We provide a description of the G2 implementatio
 n and a set of experiments using real TCP/IP code to demonstrate its opera
 tional efficacy.\n\nTag: Workshop Reg Pass, Big Data, Data Analytics, Data
 center, Networks, Software-defined networking\n\nRegistration Category: Wo
 rkshop Reg Pass, Big Data, Data Analytics, Datacenter, Networks, Software-
 defined networking
URL:https://sc19.supercomputing.org/presentation/?id=ws_indis115&sess=sess
 103
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