By Topic

Combining Query Performance with Data Integrity in the Cloud: A Hybrid Cloud Storage Framework to Enhance Data Access on the Windows Azure Platform

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

6 Author(s)
Robert Neumann ; Dept. of Distrib. Syst., Otto-von-Guericke Univ., Magdeburg, Germany ; Steve Taggeselle ; Reiner Dumke ; Andreas Schmietendorf
more authors

Non-relational Cloud Storage Services, such as Windows Azure's Table Storage, promise high scalability and nearby constant response times, even with an increasing number of concurrent transactions. Measurement data that is examined throughout this paper, however, reveals a fairly high number of query performance anomalies as well as a drop in response time with an increasing entity size. To address these issues, we propose an intermediate storage service, namely the Hybrid Cloud Storage Framework (HCSF), which combines the performance advantage of the Azure Distributed Cache with the data integrity of Table Storage. The paper concludes with a performance benchmark of the HCSF with Azure's Table Storage.

Published in:

Cloud Computing (CLOUD), 2012 IEEE 5th International Conference on

Date of Conference:

24-29 June 2012