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6th INDIS@SC 2019: Denver, CO, USA

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2019 IEEE/ACM Innovating the Network for Data-Intensive Science, INDIS@SC 2019, Denver, CO, USA, November 17, 2019. IEEE 2019, ISBN 978-1-7281-6666-7

Technical Papers

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Se-Young Yu, Jim Hao Chen, Fei Yeh, Joe Mambretti, Xiao Wang, Anna Giannakou, Eric Pouyoul, Marc Lyonnais:
SCinet DTN-as-a-Service Framework. 1-8
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Daniel Nägele, Christopher B. Hauser, Leonard Bradatsch, Stefan Wesner:
bwNetFlow: A Customizable Multi-Tenant Flow Processing Platform for Transit Providers. 9-16
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Nageswara S. V. Rao, Neena Imam, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Estimation of RTT and Loss Rate of Wide-Area Connections Using MPI Measurements. 17-24
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Aiqin Hou, Chase Q. Wu, Liudong Zuo, Dawei Quan, Yangyang Li, Michelle M. Zhu, Qiang Duan, Dingyi Fang:
Co-Scheduling of Advance and Immediate Bandwidth Reservations for Inter-Data Center Transfer. 25-35
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Silke Knossen, Joseph Hill, Paola Grosso:
Hop Recording and Forwarding State Logging: Two Implementations for Path Tracking in P4. 36-47
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Jordi Ros-Giralt, Leandros Tassiulas, Sruthi Yellamraju, Atul Bohara, Richard Lethin, Josie Li, Ying Lin, Yuanlong Tan, Malathi Veeraraghavan, Yuang Jiang:
G2: A Network Optimization Framework for High-Precision Analysis of Bottleneck and Flow Performance. 48-60
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George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman:
Training Classifiers to Identify TCP Signatures in Scientific Workflows. 61-68
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Hemanta Sapkota, Md. Arifuzzaman, Engin Arslan:
Sample Transfer Optimization with Adaptive Deep Neural Network. 69-76

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