By Topic

TBF: An Efficient Data Architecture for Metadata Server in the Object-based Storage Network

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
$33 $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

3 Author(s)
Yu Hua ; Member, IEEE, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China ; Dan Feng ; Bin Xiao

Metadata management is an important component in the object-based storage network. Traditional methods can not support the memberships query with multiple attributes and dynamic update function due to complex operations. A Bloom filter is a kind of succinct way to represent a set of objects because it is a simple space-efficient randomized data structure. In this paper, we propose a new architecture to support the representation of objects with multiple attributes based on Bloom filters. The architecture, called two-level Bloom filters (TBF), is composed of attribute and object Bloom filters to support the efficient representation and query of objects. The attribute Bloom filter is a series of counter-based arrays. Each array can store one attribute of an object. The object Bloom filter captures a verification value of an object, which can reflect the inherent dependency of all attributes for the object. Furthermore, we present the aggregate-based update approach to support the dynamic update operations on the proposed data architecture. Simulation results demonstrate that the new Bloom filter architecture and proposed update schemes are efficient and accurate to realize the operations of objects with multiple attributes in the object-based storage network

Published in:

2006 14th IEEE International Conference on Networks  (Volume:1 )

Date of Conference:

Sept. 2006