DocumentCode :
2152505
Title :
Research and Implementation of Pagination Algorithm over Massive Data Based on Ajax Technology
Author :
Wang Peng ; Xi Yuanyuan ; Ma Li ; Cai Changyu
Author_Institution :
Sch. of Comput. Sci. & Technol., Changchun Univ. of Sci. & Technol., Changchun, China
fYear :
2009
fDate :
20-22 Sept. 2009
Firstpage :
1
Lastpage :
4
Abstract :
It´s a common technology to query and paginate in Web information system. In traditional method, it usually paginates in client or Web terminal. But if we need operate massive data, traditional methods will have many defects, such as high maintenance cost, low query efficiency. The experiment results indicate that optimization algorithm of pagination based on stored procedure combining Ajax technology can not only improve query efficiency of data in massive data pagination, but also implement asynchronous data transfer between client and server. The method can reduce network bottleneck considerably so that information can be display without loading interface again, user´s waiting time can be decreased, and network loads can be lightened greatly.
Keywords :
Internet; Java; XML; optimisation; query processing; Ajax technology; Web information system; massive data; optimization algorithm; pagination algorithm; query efficiency; Computer science; Costs; Displays; Information systems; Java; Network servers; Payloads; Web pages; Web server; XML;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management and Service Science, 2009. MASS '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4638-4
Electronic_ISBN :
978-1-4244-4639-1
Type :
conf
DOI :
10.1109/ICMSS.2009.5303991
Filename :
5303991
Link To Document :
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