DocumentCode
3054419
Title
An Efficient Data Maintenance Model for Data Service Mashup
Author
Zhang, Peng ; Wang, Guiling ; Ji, Guang ; Han, Yanbo
Author_Institution
Inst. of Comput. Technol., North China Univ. of Technol., Beijing, China
fYear
2012
fDate
24-29 June 2012
Firstpage
699
Lastpage
700
Abstract
While end-users enjoy the data service mashup with high convenience and flexibility, how to achieve the best performance with minimum maintenance cost is a challenging problem. In this paper, the data maintenance problem is analyzed, and the maintenance cost model for the data service mashup is built. The model measures the response cost and update cost of a group of data service mashups in terms of the request frequency and update frequency. Experiment shows our mashup platform with the model can reduce data maintenance cost.
Keywords
Web services; data handling; data maintenance cost; data maintenance model; data maintenance problem; data service mashup; maintenance cost model; request frequency; response cost; update cost; update frequency; Computational modeling; Computers; Data models; Educational institutions; Maintenance engineering; Mashups; Vectors; data maitenance; data service; mashup;
fLanguage
English
Publisher
ieee
Conference_Titel
Services Computing (SCC), 2012 IEEE Ninth International Conference on
Conference_Location
Honolulu, HI
Print_ISBN
978-1-4673-3049-7
Type
conf
DOI
10.1109/SCC.2012.10
Filename
6274218
Link To Document