By Topic

DACO: A High-Performance Disk Architecture Designed Specially for Large-Scale Erasure-Coded Storage Systems

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

2 Author(s)
Mingqiang Li ; Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China ; Jiwu Shu

Large-scale erasure-coded storage systems have a serious performance problem due to I/O congestion and disk media access congestion caused by read-modify-write operations involved in small-write operations. All the existing technologies based on the conventional disk can provide very limited performance improvement. This paper presents a new Disk Architecture with Composite Operation (DACO), whose disk media access interface consists of three kinds of operations: READ, WRITE, and Composite Operation (CO). The CO adopts a sector-based pipeline technology to implement block-level data modify operations, and thus, can replace the read-modify-write operations involved in small-write operations. When the DACO is adopted in a large-scale erasure-coded storage system with t fault tolerance, t I/Os and t disk media access operations can be reduced in each small-write operation, respectively. This alleviates both I/O congestion and disk media access congestion in nature, and thus, can remarkably improve the performance of large-scale erasure-coded storage systems. A simulation study shows that the DACO can provide significant performance improvement: reducing the average I/O response time by up to 31.16 percent even in the worst case where t=1. This paper also discusses the important implementation issues of the DACO and investigates the additional cost involved in the DACO.

Published in:

Computers, IEEE Transactions on  (Volume:59 ,  Issue: 10 )