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Measuring the impact of burst buffers on data-intensive scientific workflows

  • Published:2019-12 Issue: Volume:101 Page:208-220
  • ISSN:0167-739X
  • Container-title:Future Generation Computer Systems
  • language:en
  • Short-container-title:Future Generation Computer Systems

Author:

Ferreira da Silva Rafael,Callaghan Scott,Do Tu Mai Anh,Papadimitriou George,Deelman Ewa

Funder

U.S. Department of Energy

National Science Foundation

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference46 articles.

1. Workflows for e-Science: Scientific Workflows for Grids;Taylor,2007

2. Scientific workflows: moving across paradigms;Liew;ACM Comput. Surv.,2016

3. In situ data analytics and indexing of protein trajectories;Johnston;J. Comput. Chem.,2017

4. A flexible framework for asynchronous in situ and in transit analytics for scientific simulations;Dreher,2014

5. https://www.nitrd.gov/nsci/files/NSCI2015WorkshopReport06142016.pdf, 2015.

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2. Modeling the Linux page cache for accurate simulation of data-intensive applications;2021 IEEE International Conference on Cluster Computing (CLUSTER);2021-09

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4. The Pegasus workflow management system: Translational computer science in practice;Journal of Computational Science;2021-05

5. Special issue on workflows in support of large-scale science;Future Generation Computer Systems;2021-05
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