By Topic

An Optimizing Strategy for Massive Data Management System Based on SQLSERVER 2000

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

2 Author(s)
Lei-Yue Yao ; Comput. & Inf. Dept., Jiang Xi Blue Sky Univ., Nanchang, China ; Yong Chen

Systems are always be checked and accepted easily. But with time passing by, systems are getting more and more slowly, and eventually, exceed the limit of userspsila patience. Itpsilas quite often that one Bottleneck appears followed by another was just solved. Therefore, finding the point of balance and making best use of all the resource in a certain range is a more realistic purpose. In this article, was taken as an example, optimization was done in the field of cluster, database and application. An efficient and effective optimizing strategy for massive data management system was raised. Moreover, this strategy can be popularized in all information management system.

Published in:

Information Processing, 2009. APCIP 2009. Asia-Pacific Conference on  (Volume:1 )

Date of Conference:

18-19 July 2009