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DTSTAMP:20210402T160558Z
LOCATION:Track 4
DTSTART;TZID=America/New_York:20201112T151500
DTEND;TZID=America/New_York:20201112T154000
UID:submissions.supercomputing.org_SC20_sess210_ws_indis105@linklings.com
SUMMARY:A Trial Deployment of a Reliable Network-Multicast Application acr
 oss Internet2
DESCRIPTION:SCinet, Workshop\n\nA Trial Deployment of a Reliable Network-M
 ulticast Application across Internet2\n\nTan, Veeraraghavan, Lee, Emmerson
 , Davidson\n\nA continuing trend in many scientific disciplines is the gro
 wth in the volume of data collected by scientific instruments and the desi
 re to rapidly and efficiently distribute this data to the scientific commu
 nity. Transferring these large data sets to a geographically distributed r
 esearch community consumes significant network bandwidth. As both the data
  volume and number of subscribers grows, reliable network multicast is a p
 romising approach to reduce the rate of growth of the bandwidth needed to 
 support efficient data distribution. In prior work, we identified a need f
 or reliable network multicast, scientists engaged in atmospheric research 
 subscribing to meteorology file-streams. Specifically, University Cooperat
 ion Atmospheric Research (UCAR) uses Local Data Manager (LDM) to dissemina
 te the data. This work describes a trial deployment, in which eight univer
 sity campuses are connected via corresponding regional Research-and-Educat
 ion Networks (RENs) and Internet2. Using this deployment, we evaluated the
  new version of LDM, LDM7, which uses network multicast with a reliable tr
 ansport protocol, and leverages Layer-2 (L2) multipoint Virtual LAN (VLAN)
 . A performance monitoring system was deployed to collect real-time perfor
 mance of LDM7, which showed that our proof-of-concept prototype worked sig
 nificantly better than the current production LDM, LDM6, in two ways: (i) 
 LDM7 can distribute file streams faster than LDM6. With six subscribers, a
 n almost 22-fold improvement was observed with LDM7 at the 100 Mbps. And (
 ii) to achieve a similar performance, LDM7 significantly reduces the need 
 for bandwidth, which is an around 90\% bandwidth saving for LDM7 to achiev
 e 20 Mbps average throughput across four subscribers.\n\nTag: Big Data, Da
 ta Analytics, Compression, and Management, Datacenter, Networks, Performan
 ce/Productivity Measurement and Evaluation, SCinet, Software-defined netwo
 rking\n\nRegistration Category: Workshop Reg Pass
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