Skip to main content

A Collaborative-Aware Task Balancing Delivery Model for Clusters

  • Conference paper
Advances in Grid and Pervasive Computing (GPC 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4459))

Included in the following conference series:

Abstract

In this paper, we present a new extension and reinterpretation of one of the most successful models of awareness in Computer Supported Cooperative Work (CSCW), called the Spatial Model of Interaction (SMI), which manages awareness of interaction through a set of key concepts, to provide task delivery in collaborative distributed systems. This model also applies some theoretical principles and theories of multi-agents systems to create a collaborative and cooperative environment that can be able to provide an autonomous, efficient and independent management of the amount of resources available in a cluster. This model has been implemented in a cluster based on a multi-agent architecture. Some results are presented with the aim of emphasizing the performance speedup of the system using the Collaborative Awareness Model for Task-Balancing-Delivery (CAMT).

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. Beltrán, M., Bosque, J.L., Guzmán, A.: Resource Dissemination Policies on Grids. In: Meersman, R., Tari, Z., Corsaro, A. (eds.) OTM-WS 2004. LNCS, vol. 3292, pp. 135–143. Springer, Heidelberg (2004)

    Google Scholar 

  2. Benford, S.D., Fahlén, L.E.: A Spatial Model of Interaction in Large Virtual Environments. In: Proceedings of the Third European Conference on Computer Supported Cooperative Work, Milano, Italy, pp. 109–124. Kluwer Academic Publishers, Dordrecht (1993)

    Google Scholar 

  3. Casavant, T.L., Kuhl, J.G.: A taxonomy of scheduling in general-purpose distributed computing systems. In: Readings and Distributed Computing Systems, pp. 31–51 (1994)

    Google Scholar 

  4. Corradi, A., Leonardi, L., Zambonelli, F.: Diffusive load-balancing policies for dynamic applications. IEEE Concurrency 7(1), 22–31 (1999)

    Article  Google Scholar 

  5. Bajaj, R., Agrawal, D.P.: Improving Scheduling of Tasks in a Heterogeneous Environment. IEEE Trans. Parallel Distrib. Syst. 15(2), 107–118 (2004)

    Article  Google Scholar 

  6. Das, S.K., Harvey, D.J., Biswas, R.: Parallel processing of adaptive meshes with load balancing. IEEE Trans. on Parallel and Distributed Systems 12, 1269–1280 (2001)

    Article  Google Scholar 

  7. Desic, S., Huljenic, D.: Agents based load balancing with component distribution capability. In: Proc. of the 2nd Int. Symposium on Cluster Computing and the Grid (2002)

    Google Scholar 

  8. Fahlén, L.E., Brown, C.G.: The Use of a 3D Aura Metaphor for Compter Based Conferencing and Teleworking. In: Proc. of the 4th Multi-G Workshop, pp. 69–74 (1992)

    Google Scholar 

  9. Greenhalgh, C.: Large Scale Collaborative Virtual Environments. Doctoral Thesis, University of Nottingham (October 1997)

    Google Scholar 

  10. Kunz, T.: The influence of different workload descriptions on a heuristic load balancing scheme. IEEE Trans. on Software Engineering 17(7), 725–730 (1991)

    Article  Google Scholar 

  11. Xiao, L., Chen, S., Zhang, X.: Dynamic cluster resource allocations for jobs with known and unknown memory demands. IEEE Trans. on Parallel and Distributed Systems 13(3), 223–240 (2002)

    Article  Google Scholar 

  12. Xu, C., Lau, F.: Load balancing in parallel computers: theory and practice. Kluwer Academic Publishers, Dordrecht (1997)

    Google Scholar 

  13. Leland, W., Ott, T.: Load-balancing heuristics and process behavior. In: ACM SIGMETRICS, pp. 54–69 (1986)

    Google Scholar 

  14. Rajagopalan, A., Hariri, S.: An Agent Based Dynamic Load Balancing System. In: Proc. of the International Workshop on Autonomous Decentralized Systems, pp. 164–171 (2000)

    Google Scholar 

  15. Vanhastel, S., et al.: Design of a generic platform for efficient and scalable cluster computing based on middleware technology. In: Proc. of the CCGRID, pp. 40–47 (2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Christophe Cérin Kuan-Ching Li

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer Berlin Heidelberg

About this paper

Cite this paper

Bosque, J.L., Herrero, P., Salvadores, M., Pérez, M.S. (2007). A Collaborative-Aware Task Balancing Delivery Model for Clusters. In: Cérin, C., Li, KC. (eds) Advances in Grid and Pervasive Computing. GPC 2007. Lecture Notes in Computer Science, vol 4459. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72360-8_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-72360-8_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72359-2

  • Online ISBN: 978-3-540-72360-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics