By Topic

Fault tolerance study for durable storage on the cloud

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)
Xiaofei Zhang ; Dept. of Comput. Sci. & Eng., HKUST, Kowloon, China ; Lei Chen

Durability indicates a system's ability to preserve committed data in the long term. It is one of the key requirements for storage systems. Various fault tolerance strategies have been proposed for traditional distributed databases, peer-to-peer (P2P) systems, and grid systems. These strategies were all developed for specific platforms and application types and have been tailored to the characteristics of the underlying system architectures and application requirements. Cloud systems differ from these previous frameworks in that they are designed to support large numbers of customer-oriented applications, each with different quality of service (QoS) requirements and resource consumption characteristics. Moreover, most cloud architectures are deployed over large-scale geographically distributed infrastructures, raising challenges on data durability as well as system efficiency and scalability. In this paper, we investigated different approaches to the design of durable data cloud platforms. In particular, we consider prevailing cloud platforms and cloud-based applications and examine the impacts of different redundancy and repair strategies to enhance the durability of the data in the cloud. We verify the performance of various approaches to data durability in the Cloud through extensive simulations.

Published in:

Cloud and Service Computing (CSC), 2011 International Conference on

Date of Conference:

12-14 Dec. 2011