Multiple attribute decision making with intervals for QoS-based web service selection

2011 ◽  
Author(s):  
Hong Feng ◽  
Yuan-da Cao
Keyword(s):  
Decision Making ◽  
Web Service ◽  
Service Selection ◽  
Multiple Attribute Decision Making ◽  
Web Service Selection ◽  
Multiple Attribute

Study on Filter Algorithm of QoS-Based Fuzzy Multi-Attribute Web Service Composition

2012 ◽  
Vol 182-183 ◽  
pp. 2131-2135
Author(s):  
Xiang Rong Fang
Keyword(s):  
Decision Making ◽  
Web Service ◽  
Information Matrix ◽  
Service Selection ◽  
Fuzzy Decision Making ◽  
Interval Numbers ◽  
Functional Attributes ◽  
Web Service Selection ◽  
Multi Attribute Decision Making ◽  
Definition Of

In this paper, an in-depth research has been done on the physical meaning and value features of the QoS attribute values under the definition of the functional attributes and non-functional attributes of Web services, giving the computation formulae and matching method expressing QoS composition as interval numbers, providing a more comprehensive and objective information matrix for fuzzy multi-attribute decision making. For multi-attributes fuzzy decision-making matrix with weight information known and the preference information of composition solution given in the form of interval numbers, calculating the overall attribute values, and sorting solutions by using the formula of probability degree, a QoS-driven multi-level composition Web Service selection algorithm is proposed, and simulation runs indicate the feasibility and effectiveness of the algorithm.

scholarly journals Service Selection of Ensuring Transactional Reliability and QoS for Web Service Composition

2012 ◽  
Vol 2012 ◽  
pp. 1-15 ◽  
Author(s):  
Guojun Zhang ◽  
Liping Chen ◽  
Weitao Ha
Keyword(s):  
Web Service ◽  
Service Composition ◽  
Service Oriented Architecture ◽  
Service Selection ◽  
Multiple Attribute Decision Making ◽  
Aggregation Functions ◽  
Optimal Service ◽  
Multiple Attribute ◽  
Composite Web Service ◽  
Selection Approach

Service-Oriented Architecture (SOA) provides a flexible framework of service composition. Using standard-based protocols, composite service can be constructed by integrating component services independently. As component services are developed by different organization and offer diverse transactional properties and QoS characteristics, it is a challenging problem how to select suitable component services which ensure reliable execution of composite Web service and construct the optimal composite Web service. In this paper, we propose a selection approach that combines transactional properties of ensuring reliability and QoS characteristics. In the selection approach, we build automaton model to implement transactional-aware service selection and use the model to guarantee reliable execution of composite Web service. We also define aggregation functions, and use a Multiple-Attribute Decision-Making approach for the utility function to achieve Qos-based optimal service selection. Finally, two scenarios of experiments are presented to demonstrate the validity of the selection approach.

Conformance Checking and QoS Selection Based on CPN for Web Service Composition

2015 ◽  
Vol 29 (02) ◽  
pp. 1559002
Author(s):  
Weitao Ha ◽  
Guojun Zhang ◽  
Liping Chen
Keyword(s):  
Web Services ◽  
Web Service ◽  
Service Composition ◽  
Service Selection ◽  
Multiple Attribute Decision Making ◽  
Web Service Composition ◽  
Conformance Checking ◽  
Aggregation Functions ◽  
Multiple Attribute ◽  
The Web

The development of new services by composition of existing ones has gained considerable momentum as a means of integrating heterogeneous applications and realizing business collaborations. More and more Web services with similar function attributes but different QoS are available. The performance of the composed service is determined by the involved Web services. Therefore, QoS properties are crucial for selecting the Web services to take part in the composition, which can identify the best candidate Web services from a set of functionally-equivalent services. Web service composition enables seamless and dynamic integration of business applications on the web. Due to the inherent autonomy and heterogeneity of component Web services, it is difficult to predict the behavior of the overall composite service. Conformance checking identifies failure and conflict of execution of composite Web service that ensures reliable execution. In this paper we use skyline computation to select services for composition efficiently, reducing the number of candidate services to be considered. Then a novel color Petri net model of Web service composition is presented that combines QoS-based optimal service selection and consistence verification. In the model we define aggregation functions, and use a Multiple Attribute Decision Making approach for the utility function to achieve optimal services selection of QoS properties. We also propose a consistence verification approach to identify potential logical inconsistence of the semantic Web service process before the deployment. Proofs are also presented. We evaluate our approach experimentally using both real and synthetically generated datasets.

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