DocumentCode :
694510
Title :
Resource selection for mashup based on user preferences
Author :
Xiaokun Wu
Author_Institution :
State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2013
fDate :
12-13 Oct. 2013
Firstpage :
960
Lastpage :
963
Abstract :
Recently, mashup is becoming increasingly popular. They are used in a great many fields. Mashup is an aggregated application which consists of two or more resources. When several alternative mashup resources are available, how to select appropriate resources according to user´s preferences is the focus of this paper. In this paper, we apply the TO PS IS (Technique for Order Preference by Similarity to an Ideal Solution) method to select the mashup resource. Using this method, the user can achieve the maximum satisfaction for the mashup application. This method excellently solves the selection problem of mashup resource according to user´s preferences. The premise of resource selection is that all these resources can be combined into mashup, i.e., they can be the components of mashup. These resources have the same or similar functions but possess different non-functions. In this paper, mashup resource selection based on user´s preference means to select the satisfactory resource for the user according to their needs.
Keywords :
Internet; TOPSIS; human computer interaction; resource allocation; TOPSIS; Web application; aggregated application; mashup resource selection; technique for order preference by similarity to an ideal solution; user preferences; Conferences; Databases; Mashups; Quality of service; Semantics; Service computing; mashup; resource selection; user preferences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2013 3rd International Conference on
Conference_Location :
Dalian
Type :
conf
DOI :
10.1109/ICCSNT.2013.6967263
Filename :
6967263
Link To Document :
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