Evaluating QoS parameters for ranking Web service

2013 ◽  
Author(s):  
M. Rathore ◽  
U. Suman
Keyword(s):  
Web Service ◽  
Qos Parameters

Web Service QoS Matching Research Based on Ontology

2013 ◽  
Vol 385-386 ◽  
pp. 1679-1683
Author(s):  
Xin Bing Ma ◽  
Xiao Feng Zhou
Keyword(s):  
Web Service ◽  
Functional Requirements ◽  
Service Matching ◽  
Model Based ◽  
Ontology Model ◽  
Qos Parameters

In this article,take into account QoS characteristics comprehensively and build a reliable QoS ontology model. Based on the model,Web service QoS matching will be divided into three stages.Firstly,make a estimation of semantic comparability between QoS parameters of candidate services meeting the functional requirements and the QoS parameters of requirements in QoSIndependent ontology,find candidate services meeting users needs; Then,according to the critical QoS parameters between adjacent services constraints to further refine the matching between the candidate services;Finally choose the maximum service QoS value meeting the user requests in specific areas. So as to improve the efficiency and accuracy of service matching.

scholarly journals QoS-based semantic web service selection

2021 ◽  
Author(s):  
Yijun Chen
Keyword(s):  
Semantic Web ◽  
Web Service ◽  
Service Selection ◽  
Utility Functions ◽  
Semantic Context ◽  
Semantic Web Service ◽  
Web Service Selection ◽  
Dynamic Web ◽  
Qos Parameters ◽  
Dynamic Attributes

This thesis discusses the dynamic web service selection in the semantic context with QoS constraints. The goal of this work is to investigate the mechanism of automated QoS-based semantic web service selection. Semantic Web Service (SWS) aims to achieve the automation of web service tasks, such as service discover, selection, composition and invocation. The task of semantic web service selection is further investigated through this thesis. An architecture is proposed to achieve this task by considering QoS parameters. The QoS parameters are classified into dynamic and static attributes in the architecture. The dynamic attributes are evaluated and measured as an overall value by applying utility functions. This overall value can be modeled in the semantic context for the purpose of service selection. Furthermore, the architecture directly models the static QoS attributes in the semantic context for service selection. Finally, an open SWS challenge scenario named hardware purchasing is used in several experiments in order to evaluate the proposed architecture.

scholarly journals Architecture for Evaluating Web Service QoS Parameters using Agents

2010 ◽  
Vol 10 (4) ◽  
pp. 15-21 ◽  
Author(s):  
M. Thirumaran ◽  
P. Dhavachelvan ◽  
S. Abarna ◽  
G. Aranganayagi
Keyword(s):  
Web Service ◽  
Qos Parameters

scholarly journals QoS-based semantic web service selection

2021 ◽  
Author(s):  
Yijun Chen
Keyword(s):  
Semantic Web ◽  
Web Service ◽  
Service Selection ◽  
Utility Functions ◽  
Semantic Context ◽  
Semantic Web Service ◽  
Web Service Selection ◽  
Dynamic Web ◽  
Qos Parameters ◽  
Dynamic Attributes

This thesis discusses the dynamic web service selection in the semantic context with QoS constraints. The goal of this work is to investigate the mechanism of automated QoS-based semantic web service selection. Semantic Web Service (SWS) aims to achieve the automation of web service tasks, such as service discover, selection, composition and invocation. The task of semantic web service selection is further investigated through this thesis. An architecture is proposed to achieve this task by considering QoS parameters. The QoS parameters are classified into dynamic and static attributes in the architecture. The dynamic attributes are evaluated and measured as an overall value by applying utility functions. This overall value can be modeled in the semantic context for the purpose of service selection. Furthermore, the architecture directly models the static QoS attributes in the semantic context for service selection. Finally, an open SWS challenge scenario named hardware purchasing is used in several experiments in order to evaluate the proposed architecture.

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