DocumentCode :
2841051
Title :
Data Processing Model of M-Learning System
Author :
Li, Jing ; Wang, Jianhua
Author_Institution :
Sch. of Comput. Sci. & Inf. Eng., Harbin Normal Univ., Harbin, China
fYear :
2009
fDate :
11-13 Dec. 2009
Firstpage :
1
Lastpage :
4
Abstract :
M-learning is short for mobile learning, that takes place with the help of mobile devices to access course materials everywhere and at anytime; In order resolve the problem of storage and transmission of course materials in field of M-learning, mobile database technology was introduced. However, new features such as mobility, disconnection, heterogeneity and distribution of the mobile devices make traditional transaction processing schemes such as query processing technology, transaction management technology and data distribution technology no longer suited. A typical four-layer architecture model was introduced, and a new mobile database model based on agent was proposed. And transaction processing process based on this model was set forth. The model can shield the heterogeneous among all members, and made them transparent so as to bring great conveniences to the entering of heterogeneous members. The introduction of mobile agent contributes to decomposition of long-lived transaction, as to complete query optimization of mobile database, and improve the efficiency of data processing in M-learning.
Keywords :
computer aided instruction; distance learning; mobile agents; mobile computing; query processing; transaction processing; M-learning system; data processing model; mobile agent; mobile database technology; mobile devices; mobile learning; query optimization; transaction processing; Computer science; Data engineering; Data processing; Distributed databases; Mobile communication; Mobile computing; Query processing; Spatial databases; Transaction databases; Web server;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
Type :
conf
DOI :
10.1109/CISE.2009.5364771
Filename :
5364771
Link To Document :
بازگشت