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INDIS@SC 2021: St. Louis, MO, USA

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IEEE Workshop on Innovating the Network for Data-Intensive Science, INDIS@SC 2021, St. Louis, MO, USA, November 15, 2021. IEEE 2021, ISBN 978-1-6654-1114-1
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Derek Weitzel, Shawn McKee, Brian Paul Bockelman, John Thiltges, Marian Babik, Ilija Vukotic:
The Service Analysis and Network Diagnosis Data Pipeline. 1-11
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Bashir Mohammed, Mariam Kiran, Bjoern Enders:
NetGraf: An End-to-End Learning Network Monitoring Service. 12-22
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Brian Tierney, Eli Dart, Ezra Kissel, Eashan Adhikarla:
Exploring the BBRv2 Congestion Control Algorithm for use on Data Transfer Nodes. 23-33
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Md. Arifuzzaman, Engin Arslan:
Learning Transfers via Transfer Learning. 34-43
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Jeronimo Bezerra, Italo Brito, Arturo Quintana, Julio Ibarra, Vasilka Chergarova, Renata Frez, Heidi Morgan, Marc LeClerc, Arun Paneri:
Deploying per-packet telemetry in a long-haul network: the AmLight use case. 44-49
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Debasmita Biswas, Sarah Neuwirth, Arnab Kumar Paul, Ali Raza Butt:
Bridging Network and Parallel I/O Research for Improving Data-Intensive Distributed Applications. 50-56

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