2014Unpublished venueRequires access

Ensuring Reliability and QoS Optimizing for Web Service Composition

Liping Chen

Open publisher page 3 citations

Abstract

Web service composition refers to the process of combining several web services to provide a value-added service. However, the component web services can't ensure reliable execution, because some services developed and operated by independent organizations may be deviate from the specification. In this paper, we propose a method that checks services reliability and ensures the best QoS combination of web services. Two formal judgmental rules are presented, which check reliability of local behavior of every component service to global interaction. We also use skyline computation to select services for composition effectively and efficiently, reducing the number of candidate services to be considered. We also define aggregation functions, and use a Multiple Attribute Decision Making approach for the utility function to achieve Qos-based optimal service selection. We evaluate our approach experimentally using both real and synthetically generated datasets.

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What this paper is about

Web service composition refers to the process of combining several web services to provide a value-added service. However, the component web services can't ensure reliable execution, because some services developed and operated by independent organizations may be deviate from the specification. In this paper, we propose a method that checks services reliability and ensures the best QoS combination of web services. Two formal judgmental rules are presented, which check reliability of local behavior of every component service to global interaction. We also use skyline computation to select services for composition effectively and efficiently, reducing the number of candidate services to be considered. We also define aggregation functions, and use a Multiple Attribute Decision Making approach for the utility function to achieve Qos-based optimal service selection. We evaluate our approach experimentally using both real and synthetically generated datasets.

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Available abstract

Web service composition refers to the process of combining several web services to provide a value-added service. However, the component web services can't ensure reliable execution, because some services developed and operated by independent organizations may be deviate from the specification. In this paper, we propose a method that checks services reliability and ensures the best QoS combination of web services. Two formal judgmental rules are presented, which check reliability of local behavior of every component service to global interaction. We also use skyline computation to select services for composition effectively and efficiently, reducing the number of candidate services to be considered. We also define aggregation functions, and use a Multiple Attribute Decision Making approach for the utility function to achieve Qos-based optimal service selection. We evaluate our approach experimentally using both real and synthetically generated datasets.

Key concepts: Web service, Computer science, Quality of service, Skyline, Reliability (semiconductor), Component (thermodynamics), WS-Policy, Service (business)

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