Skip to main content

Mapping Heavy Communication Workflows onto Grid Resources Within an SLA Context

  • Conference paper
High Performance Computing and Communications (HPCC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4208))

Abstract

Service Level Agreements (SLAs) are currently one of the major research topics in Grid Computing. Among many system components for supporting SLA-aware Grid jobs, the SLA mapping mechanism receives an important position. It is responsible for assigning sub-jobs of the workflow to Grid resources in a way that meets the user’s deadline and as cheap as possible. With the distinguished workload and resource characteristics, mapping a heavy communication workflow within SLA context defines new problem and needs new method to be solved. This paper presents the mapping algorithm, which can cope with the problem. Performance measurements deliver evaluation results on the quality and efficiency of the method.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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. Deelman, E., Blythe, J., Gil, Y., Kesselman, C., Mehta, G., Patil, S., Su, M., Vahi, K., Livny, M.: Pegasus: Mapping Scientific Workflows onto the Grid. In: Proceedings of the 2nd European Across Grids Conference, Nicosia, Cyprus, January 28-30 (2004)

    Google Scholar 

  2. Spooner, D.P., Jarvis, S.A., Cao, J., Saini, S., Nudd, G.R.: Local Grid Scheduling Techniques Using Performance Prediction. IEEE Proceedings - Computers and Digital Techniques 150(2), 87–96 (2003)

    Article  Google Scholar 

  3. Lovas, R., Dózsa, G., Kacsuk, P., Podhorszki, N., Drótos, D.: Workflow Support for Complex Grid Applications: Integrated and Portal Solutions. In: Proceedings of 2nd European Across Grids Conference, Nicosia, Cyprus (2004)

    Google Scholar 

  4. McGough, S., Afzal, A., Darlington, J., Furmento, N., Mayer, A., Young, L.: Making the Grid Predictable through Reservations and Performance Modelling. The Computer Journal 48(3), 358–368 (2005)

    Article  Google Scholar 

  5. Zeng, L., Benatallah, B., Ngu, A., Dumas, M., Kalagnanam, J., Chang, H.: QoS-Aware Middleware for Web Services Composition. IEEE Transactions on Software Engineering 30(5), 311–327 (2004)

    Article  Google Scholar 

  6. Brandic, I., Benkner, S., Engelbrecht, G., Schmidt, R.: QoS Support for Time-Critical Grid Workflow Applications. In: Proceedings of e-Science (2005)

    Google Scholar 

  7. Ludtke, S., Baldwin, P., Chiu, W.: EMAN: Semiautomated Software for High-Resolution Single-Particle Reconstructio. Journal of Structure Biology 128 (1999)

    Google Scholar 

  8. Berriman, G.B., Good, J.C., Laity, A.C.: Montage: a Grid Enabled Image Mosaic Service for the National Virtual Observatory. ADASS 13 (2003)

    Google Scholar 

  9. Richter, L.: Workflow Support for Complex Grid Applications: Integrated and Portal Solutions. In: Proceedings of the 2nd European Across Grids Conference (2004)

    Google Scholar 

  10. Burchard, L., Hovestadt, M., Kao, O., Keller, A., Linnert, B.: The Virtual Resource Manager: An Architecture for SLA-aware Resource Management. In: Proceedings of the IEEE CCGrid 2004, pp. 126–133. IEEE Press, Los Alamitos (2004)

    Chapter  Google Scholar 

  11. Wolski, R.: Experiences with Predicting Resource Performance On-line in Computational Grid Settings. ACM SIGMETRICS Performance Evaluation Review 30(4), 41–49 (2003)

    Article  Google Scholar 

  12. Quan, D.M., Kao, O.: SLA negotiation protocol for Grid-based workflows. In: Yang, L.T., Rana, O.F., Di Martino, B., Dongarra, J. (eds.) HPCC 2005. LNCS, vol. 3726, pp. 505–510. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  13. Quan, D.M., Kao, O.: On Architecture for an SLA-aware Job Flows in Grid Environments. In: Proceedings of the 19th IEEE International Conference on Advanced Information Networking and Applications (AINA 2005), pp. 287–292. IEEE Press, Los Alamitos (2005)

    Google Scholar 

  14. Quan, D.M., Kao, O.: Mapping Grid job flows to Grid resources within SLA context. In: Sloot, P.M.A., Hoekstra, A.G., Priol, T., Reinefeld, A., Bubak, M. (eds.) EGC 2005. LNCS, vol. 3470, pp. 1107–1116. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  15. Blum, C., Roli, A.: Metaheuristics in combinatorial optimization: Overview and conceptual comparison. ACM Computing Surveys 35(3), 268–308 (2003)

    Article  Google Scholar 

  16. Quan, D.M.: A Framework for SLA-aware execution of Grid-based workflows, PhD thesis, University of Paderborn - Germany (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Quan, D.M. (2006). Mapping Heavy Communication Workflows onto Grid Resources Within an SLA Context. In: Gerndt, M., Kranzlmüller, D. (eds) High Performance Computing and Communications. HPCC 2006. Lecture Notes in Computer Science, vol 4208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11847366_75

Download citation

  • DOI: https://doi.org/10.1007/11847366_75

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-39368-9

  • Online ISBN: 978-3-540-39372-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics