QOS Based Web Service Ranking Using Fuzzy C-means Clusters
نویسندگان
چکیده
منابع مشابه
QOS Based Web Service Ranking Using Fuzzy C-means Clusters
In service oriented computing ranking of best service from service registry is an essential process for service selection. The main objective of this research is to select a best service using fuzzy C-Means clustering. Identifying the best web service among all the existing services is a challenging issue. In the existing system, the ranking process uses a static priority of QoS parameters to f...
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Since, most of the organizations present their services electronically, the number of functionally-equivalent web services is increasing as well as the number of users that employ those web services. Consequently, plenty of information is generated by the users and the web services that lead to the users be in trouble in finding their appropriate web services. Therefore, it is required to provi...
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Quality of service (QoS) is an important issue in the design and management of web service composition. QoS in web services consists of various non-functional factors, such as execution cost, execution time, availability, successful execution rate, and security. In recent years, the number of available web services has proliferated, and then offered the same services increasingly. The same web ...
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[This retracts the article DOI: 10.1155/2015/207174.].
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The number of web services with similar functionality increases which makes the service users depend on web service recommendation systems. During these days it was found that the service users pay more attention on the non-functional properties which are also known as Quality Of Service (QoS) in selecting a best Web Service. Collaborative filtering methods are used in predicting the QoS values...
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ژورنال
عنوان ژورنال: Research Journal of Applied Sciences, Engineering and Technology
سال: 2015
ISSN: 2040-7459,2040-7467
DOI: 10.19026/rjaset.10.1873