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5th INDIS@SC 2018: Dallas, TX, USA

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Proceedings of the 5th IEEE/ACM International Workshop on Innovating the Network for Data-Intensive Science, INDIS@SC 2018, Dallas, TX, USA, November 11, 2018. IEEE 2018, ISBN 978-1-7281-0194-1
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  - conf/sc/GiannakouGP18
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Anna Giannakou, Daniel Gunter, Sean Peisert:
Flowzilla: A Methodology for Detecting Data Transfer Anomalies in Research Networks. 1-9
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  - conf/sc/GudibandaRCL18
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Aditya Gudibanda, Jordi Ros-Giralt, Alan Commike, Richard Lethin:
Fast Detection of Elephant Flows with Dirichlet-Categorical Inference. 10-22
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Joseph Hill, Mitchel Aloserij, Paola Grosso:
Tracking Network Flows with P4. 23-32
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Inder Monga, Chin Guok, John MacAuley, Alex Sim, Harvey B. Newman, Justas Balcas, Phil DeMar, Linda Winkler, Tom Lehman, Xi Yang:
SDN for End-to-End Networked Science at the Exascale (SENSE). 33-44
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  - conf/sc/DeljooEGL18
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Ameneh Deljoo, Tom M. van Engers, Leon Gommans, Cees de Laat:
Social Computational Trust Model (SCTM): A Framework to Facilitate Selection of Partners. 45-54
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Aiqin Hou, Chase Q. Wu, Dingyi Fang, Liudong Zuo, Michelle M. Zhu, Xiaoyang Zhang, Ruimin Qiao, Xiaoyan Yin:
Bandwidth Scheduling for Big Data Transfer with Deadline Constraint between Data Centers. 55-63
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Se-Young Yu, Jim Hao Chen, Joe Mambretti, Fei Yeh:
Analysis of CPU Pinning and Storage Configuration in 100 Gbps Network Data Transfer. 64-74
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Qiming Lu, Liang Zhang, Sajith Sasidharan, Wenji Wu, Phil DeMar, Chin Guok, John Macauley, Inder Monga, Se-Young Yu, Jim Hao Chen, Joe Mambretti, Jin Kim, Seo-Young Noh, Xi Yang, Tom Lehman, Gary Liu:
BigData Express: Toward Schedulable, Predictable, and High-Performance Data Transfer. 75-84

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