Skip to main content

EH*RS: A High-Availability Scalable Distributed Data Structure

  • Conference paper
Algorithms and Architectures for Parallel Processing (ICA3PP 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4494))

  • 534 Accesses

Abstract

EH*RS is a new high-availability Scalable Distributed Data Structure (SDDS). The file structure and the search performance of EH*RS are basically these of EH*. It gets high availability based on record group and Reed-Salomon erasure correcting coding. EH*RS remains all data available despite the unavailability of any k ≥1servers by storing the additional information: the parity information. The value of k transparently grows with the file, to prevent the reliability decline. The storage overhead for the high-availability is small. The example shows that EH*RS file performs as expected. Finally, the scheme of EH*RS provides new perspectives to data-intensive applications (DBMSs), including the emerging ones of grids and of P2P computing.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Special Issue on High-Performance Computing. Comm. Of ACM (1997)

    Google Scholar 

  2. Litwin, W., Neimat, M.-A., Schneider, D.: Linear Hashing for Distributed Files. ACM-SIGMOD International Conference on Management of Data (1993)

    Google Scholar 

  3. SDDS-bibliography. http://192.134.119.81/SDDS-bibliograhie.html

  4. Litwin, W., Neimat, M.-A., Schneider, D.: LH* - A Scalable Distributed Data Structure. ACM Trans. On Database Systems (1996)

    Google Scholar 

  5. Karlson, J., Litwin, W., Risch, T.: LH*LH: A Scalable High Performance Data Structure for Switched Multicomputers. In: Extending Database Technology, EDBT 1996, Springer Verlag, Heidelberg (1996)

    Google Scholar 

  6. Litwin, W., Moussa, R., Schwarz, T.: LH*RS – A Highly-Available Scalable Distributed Data Structure, vol.30(3). ACM Transaction on Database Systems (TODS) (2005)

    Google Scholar 

  7. Litwin, W.: Linear hashing: A new tool for file and table addressing. In: Proc. of VLDB, pp. 212–223 (1980)

    Google Scholar 

  8. Litwin, W., Neimat, M.-A., Schneider, D.: LH*: Linear Hashing for distributed files. In: ACM-SIGMOD Intl. Conference on Management of Data, pp. 327–336 (1997)

    Google Scholar 

  9. Litwin, W., Schwarz, T.: LH*RS: A High-Availability Scalable Distributed Data Structure using Reed Solomon Codes. ACM-SIGMOD International Conference on Management of Data (2000)

    Google Scholar 

  10. Litwin, W., Risch, T.: LH*g: a High-availability Scalable Distributed Data Structure through Record Grouping. Res. Rep. CERIA, U. Dauphine & U. Linkoping (1997)

    Google Scholar 

  11. Hilford, V., Bastani, F.B., Cukie, B.: EH*—Extenhible Hashing in a Bistributed Environment, pp. 217–222. IEEE, New York (1997)

    Google Scholar 

  12. Fagin, R., Nievergelt, J., Pippenger, N., Strong, H.R.: Extendible Hashing - A Fast Access Method for Dynamic Files. In: ACM Transactions on Database Systems, pp. 315–344 (1979)

    Google Scholar 

  13. Litwin, W., Neimat, M.-A.: High-Availability LH* Schemes with Mirroring. In: Intl. Conf. on Coop. Inf. Systems (COOPIS), IEEE Press, Orlando (1996)

    Google Scholar 

  14. Breitbart, Y., Vingralek, R.: Distributed and Scalable B+ tree Data Structures. Workshop on Distr. Data and Struct., Carleton Scientific (publ.) (1998)

    Google Scholar 

  15. Litwin, W., Neimat, M.-A., Levy, G., Ndiaye, S., Seck, T.: LH*S : a high-availability and high-security Scalable Distributed Data Structure. IEEE-Res. Issues in Data Eng. (RIDE-97) (1997)

    Google Scholar 

  16. Lindberg, R.: A Java Implementation of a Highly Available Scalable and Distributed Data Structure LH*g. Master Th. LiTH-IDA-Ex-97/65. U. Linkoping (1997)

    Google Scholar 

  17. Litwin, W., Menon J., Risch, T.: LH* with Scalable Availability. IBM Almaden Res. Rep. RJ 10121 (91937) (1998)

    Google Scholar 

  18. Gray, J., et al.: Data Mining of SDDS SkyServer Database. Intl. Workshop on Distributed Data Structures, (WDAS 2002) Carleton Scientific (2002)

    Google Scholar 

  19. Macwilliams, F.J., Sloane, N.J.A.: The Theory of Error Correcting Codes. Elsevier, North Holland, Amsterdam (1977)

    MATH  Google Scholar 

  20. Xueping, R.: EH*: A High-Available Scalable Distributed Data Structure. Computer engineering and Science, China (2005)

    Google Scholar 

  21. Schwarz, Th., S. J., Manasse, M.: Report on the 7th workshop on Distributed Data and Structures (WDAS 2006), vol. 35(2). ACM SIGMOD Record (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Hai Jin Omer F. Rana Yi Pan Viktor K. Prasanna

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ren, X., Xu, X. (2007). EH*RS: A High-Availability Scalable Distributed Data Structure. In: Jin, H., Rana, O.F., Pan, Y., Prasanna, V.K. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2007. Lecture Notes in Computer Science, vol 4494. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72905-1_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-72905-1_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72904-4

  • Online ISBN: 978-3-540-72905-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics