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In-Memory Runtime File Systems for Many-Task Computing

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Adaptive Resource Management and Scheduling for Cloud Computing (ARMS-CC 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8907))

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Abstract

Many scientific computations can be expressed as Many-Task Computing (MTC) applications. In such scenarios, application processes communicate by means of intermediate files, in particular input, temporary data generated during job execution (stored in a runtime file system), and output.

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Acknowledgments

This work is partially funded by the Dutch public-private research community COMMIT/.

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Authors and Affiliations

  1. Department of Computer Science, Vrije Universiteit, Amsterdam, The Netherlands

    Alexandru Uta, Andreea Sandu, Ion Morozan & Thilo Kielmann

Authors
  1. Alexandru Uta
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  2. Andreea Sandu
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  3. Ion Morozan
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  4. Thilo Kielmann
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Corresponding author

Correspondence to Thilo Kielmann .

Editor information

Editors and Affiliations

  1. Computer Science Department, University Politehnica of Bucharest, Bucharest, Romania

    Florin Pop

  2. Sorbonne Universités, Université Pierre et Marie CURIE, Paris, France

    Maria Potop-Butucaru

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© 2014 Springer International Publishing Switzerland

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Uta, A., Sandu, A., Morozan, I., Kielmann, T. (2014). In-Memory Runtime File Systems for Many-Task Computing. In: Pop, F., Potop-Butucaru, M. (eds) Adaptive Resource Management and Scheduling for Cloud Computing. ARMS-CC 2014. Lecture Notes in Computer Science(), vol 8907. Springer, Cham. https://doi.org/10.1007/978-3-319-13464-2_1

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  • DOI: https://doi.org/10.1007/978-3-319-13464-2_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13463-5

  • Online ISBN: 978-3-319-13464-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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