Home            Contact us            FAQs
    
      Journal Home      |      Aim & Scope     |     Author(s) Information      |      Editorial Board      |      MSP Download Statistics

     Research Journal of Applied Sciences, Engineering and Technology


Trust Worthiness on Load Balance in Grids Using Standard Cauchy Distribution

1S. Tamilselvi, 2G. Manoharan and 3K. Nirmala
1Department of Computer Science, Bharathiar University, Coimbatore 641046
2Department of Computer Science, Manonmanium Sundaranar University, Tirunelveli
3Department of Computer Science, Quaid-E-Millah Govt. College for Women, Chennai, India
Research Journal of Applied Sciences, Engineering and Technology  2014  16:1833-1837
http://dx.doi.org/10.19026/rjaset.8.1171  |  © The Author(s) 2014
Received: July ‎24, ‎2014  |  Accepted: September ‎13, ‎2014  |  Published: October 25, 2014

Abstract

Computational tasks are split into many modules and the resources of participating nodes of Grid are shared with to solve intensive jobs. Since the Grid participants are open in many cases, the respective providers do not maintain reputation in providing their promised services. Therefore ‘Trust’ worthiness of nodes of clusters of Grid is determined through various techniques with several parameters. Computational efficiency in Grid is another major issue that needs to be addressed. ‘Load Balancing’ in Grids could be a major remedial measure for tackling this issue. Literature on these two components in isolation of Grid technology is seen to be aplenty. But a combined study for relational effectiveness is worth an attempt. Standard Cauchy distribution is a continuous probability distribution, which can be applied so as to determine the acceptance levels of Cluster functionalities of the Grid. In view of this, the study attempts to make use of standard Cauchy distribution technique for validating Load balancing, which is performed after the determination of the trust worthiness of the participating nodes of a cluster. The study argues that the Grid cluster that is trust worthy alone can be performed with the load balancing and the conclusion is thus derived. GridSim 5.0 has been used for the proposed experimental studies.

Keywords:

CPU traces of nodes, grid technology, load balancing, trust computation,


References

  1. Buyya, R. and M. Murshed, 2002. Gridsim: A toolkit for the modeling and simulation of distributed resource management and scheduling for grid computing. Concurr. Comp-Pract. E., 14(13-15): 1175-1220.
    CrossRef    
  2. Elenin, S.A. and M. Kitakami, 2011. Performance analysis of static load balancing in grid. Int. J. Electr. Comput. Sci., 11(3): 57-63.
  3. GridSim5.0, 2013. Retrieved from: www.GridWay.org.
    Direct Link
  4. Jelasity, M., A. Montresor and O. Babaoglu, 2005. Gossip-based aggregation in large dynamic networks. ACM T. Comput. Syst., 23(3): 219-252.
    CrossRef    
  5. Naseera, S. and K.V. Madhu Murthy, 2010. Trust based load distribution in a data grid environment. Int. J. Comput. Sci. Eng., 2(01S): 24-29.
  6. Rajeswari, S., 2013. A novel exhaustive criterion based load balancing algorithm for e-learning platform by data grid technologies. Int. J. Adv. Netw. Appl., 4(6): 1786-1792.
  7. Zhang, Y., W. Sun and Y. Inoguchi, 2006. CPU load predictions on the computational Grid *. Proceeding of the 6th IEEE International Symposium on Cluster Computing and the Grid (CCGRID'2006). Singapore, May16-19, pp: 321-326.
    CrossRef    PMCid:PMC1448947    

Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Information
   Sales & Services
Home   |  Contact us   |  About us   |  Privacy Policy
Copyright © 2024. MAXWELL Scientific Publication Corp., All rights reserved