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
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;
Conference_Titel :
Services Computing (SCC), 2012 IEEE Ninth International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4673-3049-7
DOI :
10.1109/SCC.2012.10
