Skip to main content

A Parameterized Framework of Trust Computation for Grid Resource Broker

  • Conference paper
Global Trends in Computing and Communication Systems (ObCom 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 269))

Included in the following conference series:

Abstract

Now a days the power of distributed computing is explored the ventures of grid computing and cloud computing. Grid computing is used to solve any large scale scientific problems by integrating geographically distributed ideal resources. Cloud computing is the next generation of grid computing and also it is an on demand version of grid computing. Especially in grid computing, the research on identifying best resources is still on its way. In this paper, we are contributing a methodology to identify the best resources for computational grid. The proposed solution will focus and extract the trust of the resource with more accuracy.

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. Ashok, Vasundra: An Enhanced Framework to compute the Trustworthiness of Resources in Grid Computing environment. In: Proceedings of Intl. Conference on Advances in Mathematical and Computational Methods, vol. II, pp. 115–117 (2011)

    Google Scholar 

  2. Rahman, Hassan, Buyya: Jaccord Index based Availability Prediction in Enterprise Grids. In: ICCS, pp. 2701–2710 (2010)

    Google Scholar 

  3. Sundari, Satish, Ravi: Grids with multiple batch systems for performance enhancement of multi component and parameter sweep parallel applications. FGCS, pp. 217–227 (2010)

    Google Scholar 

  4. Sanjay, Sathish: A strategy for scheduling tightly coupled parallel applications. Concurrency and Computation: Practice and Experience, 2491–2517 (2009)

    Google Scholar 

  5. Marcos, Buyya: Performance analysis of allocation policies for intergrid resource provisioning. Information and Software Technology, 43–55 (2009)

    Google Scholar 

  6. Jay, Sanjay, Sathish: Performance Modeling based on Multidimensional Surface Learning for Performance Predictions of Parallel Applications in Non Dedicated Environments. IISc, 45/SERC (2007)

    Google Scholar 

  7. Keshav, Liang: An Efficient MPI (2007)

    Google Scholar 

  8. ThamaraiSelvi & Team: A Framework for Trust Management System in Computational Grids, DIT, New Delhi (2007)

    Google Scholar 

  9. Gupta, Paul, Mostafa: A Reputation System for Peer to Peer Networks. ACM (2003)

    Google Scholar 

  10. Tracy & Team: A Comparison of Eleven Static Heuristics for Mapping a class of Independent Tasks on to Heterogeneous Distributed Computing Systems, pp. 810–837. Academic Press (2001)

    Google Scholar 

  11. Keshav, Liang: Application Oriented Adaptive MPI. Micro Grid (2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ashok, M., Sathiyan, S. (2012). A Parameterized Framework of Trust Computation for Grid Resource Broker. In: Krishna, P.V., Babu, M.R., Ariwa, E. (eds) Global Trends in Computing and Communication Systems. ObCom 2011. Communications in Computer and Information Science, vol 269. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29219-4_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-29219-4_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29218-7

  • Online ISBN: 978-3-642-29219-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics