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ORCID10th WORKS@SC 2015: Austin, Texas, USA
- Johan Montagnat, Ian J. Taylor:
Proceedings of the 10th Workshop on Workflows in Support of Large-Scale Science, WORKS 2015, Austin, Texas, USA, November 15, 2015. ACM 2015, ISBN 978-1-4503-3989-6
Scheduling and resources allocation
- Matthias Janetschek, Radu Prodan
, Shajulin Benedict:
A workflow runtime environment for manycore parallel architectures. 1:1-1:12 - Joseph P. Macker, Ian J. Taylor:
Orchestrating workflows over heterogeneous networking infrastructures: NEWT: a network edge workflow tool. 2:1-2:10 - Mahantesh Halappanavar, Malachi Schram, Luis de la Torre, Kevin J. Barker, Nathan R. Tallent, Darren J. Kerbyson:
Towards efficient scheduling of data intensive high energy physics workflows. 3:1-3:9
Data flows management
- Ryan Mork, Paul Martin, Zhiming Zhao:
Contemporary challenges for data-intensive scientific workflow management systems. 4:1-4:11 - Yanwei Zhang, Matthew Wolf, Karsten Schwan, Qing Liu, Greg Eisenhauer, Scott Klasky:
Co-sites: the autonomous distributed dataflows in collaborative scientific discovery. 5:1-5:11 - Justin M. Wozniak, Timothy G. Armstrong, Ketan Maheshwari, Daniel S. Katz, Michael Wilde, Ian T. Foster:
Interlanguage parallel scripting for distributed-memory scientific computing. 6:1-6:11
Workflow control and re-execution
- Kieran Evans, Andrew Jones, Alun D. Preece, Francisco Quevedo, David Rogers, Irena Spasic, Ian J. Taylor, Vlado Stankovski, Salman Taherizadeh, Jernej Trnkoczy, George Suciu, Victor Suciu, Paul Martin, Junchao Wang, Zhiming Zhao:
Dynamically reconfigurable workflows for time-critical applications. 7:1-7:10 - Fan Jiang, Claris Castillo, Charles Schmitt, Anirban Mandal, Paul Ruth, Ilya Baldin:
Enabling workflow repeatability with virtualization support. 8:1-8:10 - Simon Woodman, Hugo Hiden, Paul Watson:
Workflow provenance: an analysis of long term storage costs. 9:1-9:9
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