We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Call for Paper
December Edition
IJCA solicits high quality original research papers for the upcoming December edition of the journal. The last date of research paper submission is 20 November 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Information Aggregation Techniques in Different Networks

by Nini Elsa Shaji, Shamila Ebenezer A
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 62 - Number 8
Year of Publication: 2013
Authors: Nini Elsa Shaji, Shamila Ebenezer A
10.5120/10103-4752

Nini Elsa Shaji, Shamila Ebenezer A . Information Aggregation Techniques in Different Networks. International Journal of Computer Applications. 62, 8 ( January 2013), 37-41. DOI=10.5120/10103-4752

@article{ 10.5120/10103-4752,
author = { Nini Elsa Shaji, Shamila Ebenezer A },
title = { Information Aggregation Techniques in Different Networks },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 62 },
number = { 8 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 37-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume62/number8/10103-4752/ },
doi = { 10.5120/10103-4752 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:11:16.649243+05:30
%A Nini Elsa Shaji
%A Shamila Ebenezer A
%T Information Aggregation Techniques in Different Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 62
%N 8
%P 37-41
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Information aggregation is a method for reducing the information being exchanged between Grid networks. Resource manager takes the scheduling decisions by using this aggregated information. Aggregated information is kept across each node and the detailed information is kept private, but the resources are available publicly for use. This paper does a comparative study for some of the information aggregation techniques used in different networks.

References
  1. Miguel L. Bote-Lorenzo, Yannis A. Dimitriadis, Eduardo G'omez- S'anchez, "Grid characteristics and uses: a grid definition", in: Proc. the First European Across Grids Conference, ACG'03, , pp. 291–298, 2004.
  2. Panagiotis Kokkinos, Emmanouel Varvarigos, "Data Consolidation and Information Aggregation in Grid Networks", Advances in Grid Computing, pp. 95-118, 2008.
  3. P. Kokkinos, E. A. Varvarigos, "Scheduling efficiency of resource information aggregation in grid networks", Future Generation Computer systems 28, pp. 9–23, 2012.
  4. Katherine A Heller, Zoubin Ghahramani, "Bayesian Hierarchical Clustering", Gatsby Computational Neuroscience, U. London, 2000.
  5. Ramesh Rajagopalan and Pramod K. Varshney, "Data aggregation techniques in sensor networks: A survey", Department of Electrical Engineering & Computer Science, Syracuse University.
  6. S. Czajkowski, K. Fitzgerald, I. Foster, and C. Kesselman, "Grid information services for distributed resource sharing", in Proc. of High Performance Distributed Computing Conference, 2001.
  7. S. D. Kamvar, M. T. Schlosser, and H. Garcia-Molina, "The EigenTrust algorithm for reputation management in P2P networks", in Proc. of the 12th International conference on World Wide Web, pp. 640. 651, 2003.
  8. M. Cai, K. Hwang, "Distributed aggregation algorithms with load-balancing for scalable grid resource monitoring", in: IEEE International Parallel and Distributed Processing Symposium, 2007.
  9. H. Zhao and X. Li, "VectorTrust: Trust Vector Aggregation Scheme for Trust Management in Peer-to-Peer Networks", The research presented in this paper is supported in part by National Science Foundation (CNS-0709329), pp. 1-6.
  10. I. Rodero, F. Guim, J. Corbalan, L. Fong, S. M. Sadjadi, "Grid broker selection strategies using aggregated resource information", Future Generation Computer Systems 26 (1), pp. 72–86, 2010.
  11. J. Zhang, Y. Han and L. Wang, "New Topology Aggregation Mechanisms for Delay bandwidth Sensitive Networks", 1-4244-2424-5/08/$20. 00 IEEE, pp. 737–742, 2008.
  12. C. Intanagonwiwat, R. Govindan, D. Estrin, J. Heidemann and F. Silva, "Directed diffusion for wireless sensor networking", IEEE Transactions on Networking 11, pp. 2–16, 2003.
  13. P. Van Mieghem, "Topology information condensation in hierarchical networks", The International Journal of Computer and Telecommunications 31 (20), pp. 2115–2137, 1999.
Index Terms

Computer Science
Information Sciences

Keywords

Grid Networks Information Aggregation Scheduling

Powered by PhDFocusTM