By Topic

Distributed Metadata Management Based on Hierarchical Bloom Filters in Data Grid

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Shihua Chen ; Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China ; Xiaomeng Huang ; Pengzhi Xu ; Weimin Zheng

Distributed metadata management is an important issue in the design and implementation of Data Grid. The key challenge lies in the strategies of metadata synchronization and the representation of the distributed metadata. We have designed a Hierarchical Bloom Filter, which consists of two level Bloom filters, to facilitate the metadata management. A Recent Bloom Filter at the top level is based on the list of recent accessed files while a Summary Bloom Filter at the bottom level represents the set of entire files. Furthermore, we propose a novel update scheme to make Recent Bloom Filters synchronized among metadata servers. Each metadata server could use the Hierarchical Bloom Filters to reduce the update frequency and the network overhead. The experimental results show that the Hierarchical Bloom Filters improve the performance and scalability of Data Grid markedly.

Published in:

ChinaGrid Annual Conference, 2009. ChinaGrid '09. Fourth

Date of Conference:

21-22 Aug. 2009