Replica Selection in Data Grids Using Preconditioning of Decision Attributes by K-means Clustering (K-RSDG)

Authors:
Rafah M. Almuttairi;Rajeev Wankar;Atul Negi;C. R. Rao
Affiliations:
-;-;-;-
Venue:
VCON '10 Proceedings of the 2010 Second Vaagdevi International Conference on Information Technology for Real World Problems
Year:
2010

Citing 0
Cited 3

Enhanced data replication broker

MIWAI'11 Proceedings of the 5th international conference on Multi-Disciplinary Trends in Artificial Intelligence
A two phased service oriented Broker for replica selection in data grids

Future Generation Computer Systems
Dynamic replica placement and selection strategies in data grids- A comprehensive survey

Journal of Parallel and Distributed Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper extends the applicability of the Rough Set Replica Selection Strategy in Data Grids, RSDG, proposed previously for such situations where the history of replica sites is unavailable. Grey based Rough Set Theory is applied using replicas information only as an input data. The Decision attributes are derived applying Grey based K-means clustering algorithm upon the input data. Each cluster label of K clusters represents a class of Decision attribute in the Decision Table of the rough set. Comparing to the previous work the synthetic data experimentation shows the improvement in the overall performance.