Skip to main content

Adaptive Resource Scheduling for Network Services

  • Conference paper
  • First Online:
Grid Computing — GRID 2002 (GRID 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2536))

Included in the following conference series:

  • 425 Accesses

Abstract

Recently, there has been considerable interest in providing high performance codes as network services. In particular, high performance network services provide improved performance by executing complex and time-consuming applications (or part of an application) on remote high performance resources. However, since service providers resources are limited, without effective resource scheduling, end-users will not experience performance improvement. In this paper, we propose adaptive resource harvesting algorithms to schedule multiple concurrent service requests within network services. The preliminary results show that our approach can achieve service time improvement up to 40% for a prototypical parallel service.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

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.

Similar content being viewed by others

References

  1. R. Buyya, D. Abramson, J. Giddy: Nimrod/G: An Architecture for a Resource Management and Scheduling System in a Global Computational Grid, Proceedings of 4th High Performance Computing in Asia-Pacific Region (2000)

    Google Scholar 

  2. H. Casanova, J. Dongarra: Netsolve: A Network Server for Solving Computational Science Problems, International Journal of Supercomputing Applications and High Performance Computing. Vol. 11(3). (1997)

    Google Scholar 

  3. D. Dill: SVC: The Standard Validity Checker, http://www.sprout.standford.edu/SVC

  4. R.L. Grossman, S. Kasif, D. Mon, A. Ramu, B. Malhi: The Preliminary Desgin of Papyrus: A System for High Performance, Distributed Data Mining over Clusters, Meta-Clusters and Super-Clusters, Proceedings of KDD-98 Workshop on Distributed Data Mining (1998)

    Google Scholar 

  5. N. H. Kapadia, J. Fortes, C. Brodley: Predictive Application-Performance Modeling in a Computational Grid Environment, Proceedings of 8th International Symposium on High Performance Distributed Computing (1999)

    Google Scholar 

  6. H. Nakada, M. Sato, S. Sekiguchi: Design and Implementation of Ninf: Towards a Global Computing Infrastructure, Journal of Future Generation Systems, Metacomputing Issue (1999)

    Google Scholar 

  7. A. Takefusa, H. Casanova, S. Matsouka, F. Berman: A Study of Deadline Scheduling for Client-Server Systems on Computational Grid, Proceedings of 10th International Symposium on High Performance Distributed Computing (2001)

    Google Scholar 

  8. B. Wilkinson, M. Allen: Parallel Programming, Prentice Hall (1999)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Lee, BD., Weissman, J.B. (2002). Adaptive Resource Scheduling for Network Services. In: Parashar, M. (eds) Grid Computing — GRID 2002. GRID 2002. Lecture Notes in Computer Science, vol 2536. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36133-2_19

Download citation

  • DOI: https://doi.org/10.1007/3-540-36133-2_19

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00133-1

  • Online ISBN: 978-3-540-36133-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics