Cart (Loading....) | Create Account
Close category search window

Block-Based Concurrent and Storage-Aware Data Streaming for Grid Applications with Lots of Small Files

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

5 Author(s)
Wen Zhang ; Dept. of Autom., Tsinghua Univ., Beijing ; Cao, Junwei ; Yisheng Zhong ; Lianchen Liu
more authors

Data streaming management and scheduling is required by many grid computing applications, especially when the volume of data to be processed is extremely high while available storage is relatively limited. Big bulk of data from scientific experiments is usually partitioned into lots of small files (LOSF), bringing challenges to data streaming supports. Block-based data transferring is proposed in this work and implemented using GridFTP, where the number of blocks or the size of each block must be carefully scheduled, taking makespan and available storage into account simultaneously. To increase processing efficiency, data streaming and processing have to be performed concurrently; data streaming scheduling must be storage-aware to avoid data overflow. Experimental results show that the optimization method for block-based concurrent and storage-aware data streaming proposed in this work is efficient to deal with the LOSF problem with a relatively good performance in terms of makespan and storage usage.

Published in:

Cluster Computing and the Grid, 2009. CCGRID '09. 9th IEEE/ACM International Symposium on

Date of Conference:

18-21 May 2009

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.