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Data-intensive CyberShake computations on an opportunistic cyberinfrastructure

Authors:

Phillip MaechlingAuthors Info & Claims

TG '11: Proceedings of the 2011 TeraGrid Conference: Extreme Digital Discovery

Article No.: 14, Pages 1 - 2

https://doi.org/10.1145/2016741.2016757

Published: 18 July 2011 Publication History

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Abstract

This abstract describes the aggregation of TeraGrid and Open Science Grid to run the SCEC CyberShake application faster than on TeraGrid alone. Because the resources are distributed and data movement is required to use more than one resource, a careful analysis of the cost of data movement vs. the benefits of distributed computation has been done in order to best distribute the work across the resources.

References

[1]

S. Callaghan, E. Deelman, D. Gunter, G. Juve, P. Maechling, C. Brooks, K. Vahi, K. Milner, R. Graves, E. Field, D. Okaya, and T. Jordan. Scaling up workflow-based applications. Computer and System Sciences, Journal of, 76(6):18, 2010.

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[2]

R. Graves, T. Jordan, S. Callaghan, E. Deelman, E. Field, G. Juve, C. Kesselman, P. Maechling, G. Mehta, K. Milner, D. Okaya, P. Small, and K. Vahi. CyberShake: A Physics-Based Seismic Hazard Model for Southern California. Pure and Applied Geophysics, Online Fir:1--15, May 2010.

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[3]

Z. Yong, M. Hategan, B. Clifford, I. Foster, G. von Laszewski, V. Nefedova, I. Raicu, T. Stef-Praun, and M. Wilde. Swift: Fast, Reliable, Loosely Coupled Parallel Computation. In 2007 IEEE Cong. on Services, pages 199--206, 2007.

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Maheshwari KEspinosa AKatz DWilde MZhang ZFoster ICallaghan SMaechling PKosar TThain D(2012)Job and data clustering for aggregate use of multiple production cyberinfrastructuresProceedings of the fifth international workshop on Data-Intensive Distributed Computing Date10.1145/2286996.2287000(3-12)Online publication date: 19-Jun-2012
https://dl.acm.org/doi/10.1145/2286996.2287000

Index Terms

Data-intensive CyberShake computations on an opportunistic cyberinfrastructure
1. Applied computing
  1. Physical sciences and engineering
    1. Earth and atmospheric sciences
2. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Distributed systems organizing principles
        Organizing principles for web applications

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Published In

TG '11: Proceedings of the 2011 TeraGrid Conference: Extreme Digital Discovery

July 2011

256 pages

ISBN:9781450308885

DOI:10.1145/2016741

General Chair:
John Towns
NCSA-Illinois
,
Program Chairs:
Shawn Brown
PSC
,
Daniel S. Katz
UC/ANL

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SIGAPP: ACM Special Interest Group on Applied Computing

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Association for Computing Machinery

New York, NY, United States

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Published: 18 July 2011

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University of Illinois

TG'11: TeraGrid 2011

July 18 - 21, 2011

Utah, Salt Lake City

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Maheshwari KEspinosa AKatz DWilde MZhang ZFoster ICallaghan SMaechling PKosar TThain D(2012)Job and data clustering for aggregate use of multiple production cyberinfrastructuresProceedings of the fifth international workshop on Data-Intensive Distributed Computing Date10.1145/2286996.2287000(3-12)Online publication date: 19-Jun-2012
https://dl.acm.org/doi/10.1145/2286996.2287000

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A Survey of Data-Intensive Scientific Workflow Management

SOAs for scientific applications: Experiences and challenges

Grids and grid technologies for wide-area distributed computing

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Recommendations

A Survey of Data-Intensive Scientific Workflow Management

SOAs for scientific applications: Experiences and challenges

Grids and grid technologies for wide-area distributed computing

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