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Fault-Tolerant Data Sharing for High-level Grid: A Hierarchical Storage Architecture | SpringerLink
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Fault-Tolerant Data Sharing for High-level Grid: A Hierarchical Storage Architecture

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Achievements in European Research on Grid Systems

Abstract

Enabling high-level programming models on grids is today a major challenge. A way to achieve this goal relies on the use of environments able to transparently and automatically provide adequate support for low-level, grid-specific issues (fault-tolerance, scalability, etc.). This paper discusses the above approach when applied to grid data management. As a case study, we propose a 2-tier software architecture that supports transparent, fault-tolerant, grid-level data sharing in the ASSIST programming environment (University of Pisa), based on the JuxMem grid data sharing service (INRIA Rennes).

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References

  1. The JXTA (juxtapose) project. http://www.jxta.org.

    Google Scholar 

  2. M. Aldinucci, C. Bertolli, S. Campa, M. Coppola, M. Vanneschi, L. Veraldi, and C. Zoccolo. Self-configuring and self-optimizing grid components in the GCM model and their ASSIST implementation. In Proc of. HPC-GECO/Compframe (held in conjunction with HPDC-15), IEEE, pages 45–52, Paris, France, June 2006.

    Google Scholar 

  3. M. Aldinucci, M. Coppola, M. Danelutto, M. Vanneschi, and C. Zoccolo. ASSIST as a research framework for high-performance grid programming environments. In J. C. Cunha and O. F. Rana, editors, Grid Computing: Software environments and Tools, chapter 10, pages 230–256. Springer, Jan. 2006.

    Google Scholar 

  4. M. Aldinucci and M. Torquati. Accelerating apache farms through ad-HOC distributed scalable object repository. In M. Danelutto, M. Vanneschi, and D. Laforenza, editors, Proc. of 10th Intl. Euro-Par 2004 Parallel Processing, volume 3149 of LNCS, pages 596–605. Springer, Aug. 2004.

    Google Scholar 

  5. B. Allcock, J. Bester, J. Bresnahan, A. L. Chervenak, C. Kesselman, S. Meder, V. Nefedova, D. Quesnel, S. Tuecke, and I. Foster. Secure, Efficient Data Transport and Replica Management for High-Performance Data-Intensive Computing. In Proc. of the 18th IEEE Symposium on Mass Storage Systems (MSS 2001), Large Scale Storage in the Web, page 13, Washington, DC, USA, 2001. IEEE Computer Society.

    Google Scholar 

  6. G. Antoniu, L. Bougé, and M. Jan. JuxMem: An adaptive supportive platform for data sharing on the grid. Scalable Computing: Practice and Experience, 6(3):45–55, Sept. 2005.

    Google Scholar 

  7. G. Antoniu, J.-F. Deverge, and S. Monnet. How to bring together fault tolerance and data consistency to enable grid data sharing. Concurrency and Computation: Practice and Experience, 2006. To appear.

    Google Scholar 

  8. F. Baude, D. Caromel, and M. Morel. On hierarchical, parallel and distributed components for grid programming. In V. Getov and T. Kielmann, editors, Proc. of the Intl. Workshop on Component Models and Systems for Grid Applications, CoreGRID series, pages 97–108, Saint-Malo, France, Jan. 2005. Springer Verlag.

    Google Scholar 

  9. M. Cole. Bringing skeletons out of the closet: A pragmatic manifesto for skeletal parallel programming. Parallel Computing, 30(3):389–406, 2004.

    Article  Google Scholar 

  10. CoreGRID NoE deliverable series, Institute on Programming Model. Deliverable D.PM.02 - Proposals for a Grid Component Model, Nov. 2005.

    Google Scholar 

  11. J. Dünnweber and S. Gorlatch. HOC-SA: A grid service architecture for higher-order components. In IEEE International Conference on Services Computing, Shanghai, China, pages 288–294. IEEE Computer Society Press, Sept. 2004.

    Google Scholar 

  12. G. Kola and M. Livny. Diskrouter: A Flexible Infrastructure for High Performance Large Scale Data Transfers. Technical Report CS-TR-2003-1484, University of Wisconsin-Madison Computer Sciences Department, Madison, WI, USA, 2003.

    Google Scholar 

  13. E. Laure, H. Stockinger, and K. Stockinger. Performance engineering in data Grids. Concurrency & Computation: Practice & Experience, 17(2–4):171–191, 2005.

    Article  Google Scholar 

  14. S. Vadhiyar and J. Dongarra. Self adaptability in grid computing. Concurrency & Computation: Practice & Experience, 17(2–4):235–257, 2005.

    Article  Google Scholar 

  15. R. V. van Nieuwpoort, T. Kielmann, and H. E. Bal. Efficient load balancing for wide-area divide-and-conquer applications. In PPoPP ’01: Proc. of the 8th ACM SIGPLAN symposium on Principles and practices of parallel programming, pages 34–43, New York, NY, USA, 2001. ACM Press.

    Google Scholar 

  16. R. V. van Nieuwpoort, J. Maassen, G. Wrzesinska, R. Hofman, C. Jacobs, T. Kielmann, and H. E. Bal. Ibis: a flexible and efficient Java-based grid programming environment. Concurrency & Computation: Practice & Experience, 17(7-8):1079–1107, 2005.

    Article  Google Scholar 

  17. M. Vanneschi. The programming model of ASSIST, an environment for parallel and distributed portable applications. Parallel Computing, 28(12):1709–1732, Dec. 2002.

    Article  MATH  Google Scholar 

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Aldinucci, M., Danelutto, M., Antoniu, G., Jan, M. (2008). Fault-Tolerant Data Sharing for High-level Grid: A Hierarchical Storage Architecture. In: Gorlatch, S., Bubak, M., Priol, T. (eds) Achievements in European Research on Grid Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-72812-4_6

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  • DOI: https://doi.org/10.1007/978-0-387-72812-4_6

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-72811-7

  • Online ISBN: 978-0-387-72812-4

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