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ScienceCloud@HPDC 2018: Tempe, AZ, USA

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Alexandru Costan, Bogdan Nicolae, Dmitry Duplyakin, Gerald F. Lofstead II, Jai Dayal:
Proceedings of the 9th Workshop on Scientific Cloud Computing, ScienceCloud@HPDC 2018, Tempe, AZ, USA, June 11, 2018. ACM 2018, ISBN 978-1-4503-5863-7

Regular Papers: ScienceCloud

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Matt Baughman, Christian Haas, Rich Wolski, Ian T. Foster, Kyle Chard:
Predicting Amazon Spot Prices with LSTM Networks. 1:1-1:7
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Illyoung Choi, Alise J. Ponsero, Ken Youens-Clark, Matthew Bomhoff, Bonnie L. Hurwitz, John H. Hartman:
Libra: Improved Partitioning Strategies for Massive Comparative Metagenomics Analysis. 2:1-2:8
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Sahand Hariri, Matias Carrasco Kind:
Batch and online anomaly detection for scientific applications in a Kubernetes environment. 3:1-3:7
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John Michael Lowe, Jeremy Fischer, Sanjana Sudarshan, George W. Turner, Craig A. Stewart, David Y. Hancock:
High Availability on Jetstream: Practices and Lessons Learned. 4:1-4:7
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Kyle M. D. Sweeney, Douglas Thain:
Early Experience Using Amazon Batch for Scientific Workflows. 5:1-5:8

Regular Papers: IWAC

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Chen Wu, Andreas Wicenec, Rodrigo Tobar:
Partitioning SKA Dataflows for Optimal Graph Execution. 6:1-6:6
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Kyle M. D. Sweeney, Douglas Thain:
Efficient Integration of Containers into Scientific Workflows. 7:1-7:6
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Craig D. Ulmer, Shyamali Mukherjee, Gary Templet, Scott Levy, Jay F. Lofstead, Patrick M. Widener, Todd Kordenbrock, Margaret Lawson:
Faodel: Data Management for Next-Generation Application Workflows. 8:1-8:6

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