Skip to main content

IANOS: An Intelligent Application Oriented Scheduling Framework For An HPCN Grid

  • Chapter
Grid Computing

We present the architecture and design of the IANOS scheduling framework. The goal of the new Grid scheduling system is to provide a general job submission framework allowing optimal positioning and scheduling of HPCN applications. The scheduling algorithms used to calculate best-suited resources are based on an objective cost function that exploits information on the parameterization of applications and resources. This standard-based, interoperable scheduling framework comprises four general web services and three modules. The middleware is complemented with one client and one admin console. The implementation is based on proposed Grid and Web services standards (WSRF, WS-Agreement, JSDL, and GLUE). It is agnostic to a specific Grid middleware. The beta version of IANOS has been tested and integrated with UNICORE. The validation of IANOS is in progress by running different types of HPCN applications on a large-scale Grid testbed.

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
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover 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. Gruber, R., Volgers, P., De Vita, A., Stengel, M., Tran, T.-M. Parameterisation to tailor commodity clusters to applications, Future Generation Computer Systems,19 (2003) 111-120.

    Article  MATH  Google Scholar 

  2. Gruber, R., Keller, V., Thiemard, M., Waeldrich, O., Wieder, P., Ziegler, W., and Manneback, P., Integration of Grid cost model into ISS/VIOLA meta-scheduler environment, Lecture Notes in Computer Science 4375 (Springer, 2007) 215-224.

    Google Scholar 

  3. Waeldrich, O., Wieder, P., and Ziegler, W. A Meta-Scheduling Service for Co-allocating Arbitrary Types of Resources. Lecture Notes in Computer Science 3911 (Springer, 2006) 782-791.

    Google Scholar 

  4. Keller,V. VAMOS web frontend to the Pleiades clusters. http://pleiades.epfl.ch/∼vkeller/VAMOS.

  5. UNICORE Open Source Download, http://www.unicore.eu/download/unicore5

  6. VIOLA, Vertically Integrated Optical Testbed for Large Application in DFN. http://www.viola-testbed.de

  7. A. Anjomshoaa, F. Brisard, M. Drescher, D. Fellows, A. Ly, A. S. McGough, D. Pulsipher, and A. Savva. Job Submission Description Language (JSDL) specification, version 1.0. Internet, 2007. http://forge.ogf.org/sf/projects/jsdl-wg

  8. S. Andreozzi, S. Burke, L. Field, S. Fisher, B. K’onya, M. Mambelli, J. M. Schopf, M. Viljoen, and A. Wilson. Glue schema specification version 1.2. Internet, 2007. http://glueschema.forge.cnaf.infn.it/Spec/V12

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

Rasheed, H. et al. (2008). IANOS: An Intelligent Application Oriented Scheduling Framework For An HPCN Grid. In: Gorlatch, S., Fragopoulou, P., Priol, T. (eds) Grid Computing. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-09457-1_20

Download citation

  • DOI: https://doi.org/10.1007/978-0-387-09457-1_20

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-09456-4

  • Online ISBN: 978-0-387-09457-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics