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Title:
a web service selection approach based on improved euclidean distance
Author: Li Lu ; Rong Mei ; Zhang Guangquan
Source: ICCSE 2012 - Proceedings of 2012 7th International Conference on Computer Science and Education
Conference Name: 2012 7th International Conference on Computer Science and Education, ICCSE 2012
Conference Date: July 14, 2012 - July 17, 2012
Issued Date: 2012
Conference Place: Melbourne, VIC, Australia
Keyword: Computer science ; Education computing ; Engineering education ; Quality of service ; Web services
Indexed Type: EI
ISBN: 9781467302425
Department: (1) Department of Computer Engineering Suzhou Vocational University Suzhou China; (2) Shenzhen Tourism College Jinan University Shenzhen China; (3) School of Computer Science and Technology Soochow University Suzhou China; (4) State Key Laboratory of Computer Science Institute of Software Chinese Academy of Science Beijing China
Sponsorship: University of Melbourne
Abstract: With the development of Internet, web service is used widely. How to choose the web service which can satisfy the non-functional requirement of users is an important problem in web service. To address this problem, this paper presents a web service selection approach based on improved Euclidean distance. It uses the gauss method to normalize the multi-dimension QoS parameters and computes the distance of points in the multidimension QoS space to scale the similarity of QoS properties by introducing weight to Euclidean distance. Then the web service which can satisfy the non-functional requirement of users can be found according to this approach. At last, an application example is used to explain this approach. © 2012 IEEE.
English Abstract: With the development of Internet, web service is used widely. How to choose the web service which can satisfy the non-functional requirement of users is an important problem in web service. To address this problem, this paper presents a web service selection approach based on improved Euclidean distance. It uses the gauss method to normalize the multi-dimension QoS parameters and computes the distance of points in the multidimension QoS space to scale the similarity of QoS properties by introducing weight to Euclidean distance. Then the web service which can satisfy the non-functional requirement of users can be found according to this approach. At last, an application example is used to explain this approach. © 2012 IEEE.
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/15843
Appears in Collections:软件所图书馆_会议论文

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Recommended Citation:
Li Lu,Rong Mei,Zhang Guangquan. a web service selection approach based on improved euclidean distance[C]. 见:2012 7th International Conference on Computer Science and Education, ICCSE 2012. Melbourne, VIC, Australia. July 14, 2012 - July 17, 2012.
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