DocumentCode
3128534
Title
Modeling the 3-Tier E-Learning System on Power Line Network
Author
Bahrami, Khosro ; Abedi, Mehrnoosh ; Daemi, Behzad
Author_Institution
Niroo Res. Inst., Tehran
fYear
2007
fDate
9-13 July 2007
Firstpage
888
Lastpage
895
Abstract
This paper presents an analytical model of the 3-tiered e-learning system on power line network based on Web services. Power line communication has high influence and is high speed medium that can be utilized as platform for Web based applications such as e-learning. To achieve this idea, we designed a 3-tiered e-learning system on power line network based on Web services and SOAP technology. Data tier is a distributed learning object repository to provide learning contents. Business tier is implemented in MV/MV (63 kV/20 kV) electrical power substations and Presentation tier is implemented in MV/LV (20 kV/400 V) electrical power substations. In this paper, we present analytical model of 3-tiered e-learning on symmetric and asymmetric power line network based on LMS and LCMS services. For this purpose, we use network queuing model and mean value analysis to predict response time of system. We show that to improve the response time of e-learning, the Web and application servers should be selected based on topology and requests of customers to e-learning services.
Keywords
Web services; computer aided instruction; power engineering computing; power engineering education; software architecture; SOAP technology; Web services; asymmetric power line network; business tier; data tier; distributed learning object repository; e-learning system modeling; electrical power substations; learning contents; mean value analysis; network queuing model; power line communication; Analytical models; Delay; Electronic learning; Least squares approximation; Power line communications; Power system modeling; Queueing analysis; Simple object access protocol; Substations; Web services;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Services, 2007. ICWS 2007. IEEE International Conference on
Conference_Location
Salt Lake City, UT
Print_ISBN
0-7695-2924-0
Type
conf
DOI
10.1109/ICWS.2007.128
Filename
4279685
Link To Document