By Topic

Zone-based data striping for cloud storage

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 $31
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)
Lu, L. ; Department of Computer Sciences, University of Wisconsin-Madison, Madison, SI, USA ; Hildebrand, D. ; Tewari, R.

Data centers in the “cloud” will need to support a wide range of applications, each with their own input/output (I/O) requirements. Some applications perform small and random I/O operations, whereas others demand high streaming bandwidth. In addition, in order to reduce costs, cloud data centers will contain thousands of commodity servers and network switches. Delivering high performance with unreliable commodity hardware for this range of workloads is a grand challenge. ZoneFS uses zone-based data striping in data center infrastructures built from commodity network switches. By striping data in zones, ZoneFS reduces network congestion and avoids one or more storage servers from becoming I/O bottlenecks. In this paper, we present the overall design and implementation of ZoneFS and evaluate its key features with several cloud-computing workloads.

Note: The Institute of Electrical and Electronics Engineers, Incorporated is distributing this Article with permission of the International Business Machines Corporation (IBM) who is the exclusive owner. The recipient of this Article may not assign, sublicense, lease, rent or otherwise transfer, reproduce, prepare derivative works, publicly display or perform, or distribute the Article.  

Published in:

IBM Journal of Research and Development  (Volume:55 ,  Issue: 6 )