Skip to main content

Checkpointing RSIP Applications at Application-level in ChinaGrid

  • Conference paper
Current Trends in High Performance Computing and Its Applications
  • 1120 Accesses

Abstract

In this paper, we checkpointing remote-sensing image processing (RSIP) applications in computational grid using a novel application-level uncoordinated checkpoint protocol based on Job Progress Description (JPD). The JPD of a job is composed by a Job Progress Record Object (JPRO) and a group of Job Progress State Objects (JPSO), these two kinds of objects act as checkpoint data for the job and the methods of them can be used as checkpoint APIs. Both the applications and the computing resources participate in the ChinaGrid project. Experiments show that using such checkpoint protocol, the RSIP Applications can be more robust when resource failure occurs.

This work is supported by the Educational and Research Grid Project (China-Grid) of China under Grant No.CG2003-GA00103

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 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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. I. Foster and C. Kesselman, The Grid: Blueprint for a New Computing Infrastructure, Morgan Kaufmann Publishers, 1999.

    Google Scholar 

  2. I. Foster, The grid: A new infrastructure for 21st century science, Physics Today 54 (2002).

    Google Scholar 

  3. GridCPR Working Group, An Architecture for Grid Checkpoint Recovery Services and a GridCPR API, www.gridforum.org/Meetings/ggf7/drafts/GridCPR001.doc, 2003.

    Google Scholar 

  4. GridCPR Working Group, GWD-I: An Architecture for Grid Checkpoint Recovery Services and a GridCPR API, gridcpr.psc.edu/GGF/docs/draft-ggfgridcpr-Architecture-1.0.pdf, 2004.

    Google Scholar 

  5. GridCPR Working Group, GWD-I: Use Cases for Grid Checkpoint and Recovery, gridcpr.psc.edu/GGF/docs/draft-ggf-gridcpr-UseCases-1.0.pdf, 2004.

    Google Scholar 

  6. DataGrid, European DataGrid Project, www.eu-datagrid.org, 2004.

    Google Scholar 

  7. A. Gianelle and R. Peluso and M. Sgaravatto, Job Partitioning and Checkpointing, Technical Report DataGrid-01-TED-0119-0-3, 2002.

    Google Scholar 

  8. S.L. Zhu and Z.K. Zhang, Gain and Analysis of Remote Sensing Image, Science Press, eijing, China, 2000.

    Google Scholar 

  9. N.T. Karonis, B. Toonen and I. Foster, MPICH-G2: A Grid-Enabled Implementation of the Massage Passing Interface, J. Parall. Distrib. Computing 63 (2003), 551–563.

    Google Scholar 

  10. Y.H. Jiang, X.J. Yang, H.D. Dai, and H.Z Yi, A Distributed Parallel Resampling Algorithm for Large Images, LNCS 2834/APPT2003, Xiamen, China, 2003, 608–518.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Li, C., Yang, X., Xiao, N. (2005). Checkpointing RSIP Applications at Application-level in ChinaGrid. In: Zhang, W., Tong, W., Chen, Z., Glowinski, R. (eds) Current Trends in High Performance Computing and Its Applications. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-27912-1_43

Download citation

Publish with us

Policies and ethics