Criteria analysis and validation of the reliability of Web services-oriented systems

Zhang, J.; Zhang, L.-J.

doi:10.1109/icws.2005.44

Cited by 46 publications

(10 citation statements)

References 15 publications

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“…Zhang et al explored the criteria of reliability of Web services-oriented systems [11]. Where both functional and non-functional requirements were regarded as important criteria for evaluating reliability of Web service.…”

Section: Related Workmentioning

confidence: 99%

Evaluating the Reliability of Web Services Based on BPEL Code Structure Analysis and Run-Time Information Capture

Li¹,

Fan

Zhou³

et al. 2010

2010 Asia Pacific Software Engineering Conference

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In this article, an approach is proposed to evaluate the reliability of Web services, where three kinds of Web services are discussed, they are atomic service without the structural information, structural activity based composite service which is composed from other services by using a structural activity mechanism, and BPEL flow process based composite service which composes all kinds of atomic services and activity based composite services using BPEL language in an orchestration style. Firstly, the reliability of atomic service is evaluated based on an extended UDDI model; then, the reliability of activity based composite services is evaluated using BPEL code structure analysis, the reliability of atomic service, and function transition probability; finally, the reliability of BPEL flow process based composite web service was evaluated by a recursive algorithm. Case study and experimental results show the significance of the approach.

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Section: Related Workmentioning

confidence: 99%

Evaluating the Reliability of Web Services Based on BPEL Code Structure Analysis and Run-Time Information Capture

Li¹,

Fan

Zhou³

et al. 2010

2010 Asia Pacific Software Engineering Conference

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show abstract

“…Definition of web service reliability is basically based on the definition of software reliability [5].San-Yih Hwang defines the reliability of service as the probability of success of the service performed [6]. Reference [7] thinks it is necessary to consider the functional attributes and non-functional properties of service, and he defines service reliability as the overall performance of correctness, fault tolerance, testability and accessibility . Reference [8] gives a cluster commonly used untraditional software testing techniques to measure the reliability of Web services，this approach tests the atomic services that has the same clustering functions, and uses the poll to select services.…”

Section: A Service Reliabilitymentioning

confidence: 99%

Geographic Location-Based Service Reliability Prediction

Wang¹,

Qian²

2014

2014 Second International Conference on Advanced Cloud and Big Data

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How to design an effective and efficient reliability prediction method for services is one of the important topics in the research field of Services Computing. With the increasing complexity of network environments, the effect of network environments and other environments related properties on service reliability cannot be neglected any more. However, most of the existing reliability prediction methods focus on the service itself, and have not paid enough attention to the potential impact of external factors on service reliability, which leads to the result that accuracy of predicted reliability of services cannot be guaranteed. To address the problems above, a geographic location-based reliability prediction method (GLBRP) for services is proposed in this paper. Mapping techniques and Pearson Correlation Coefficient are used to classify users based on users' geographic location information. Deductive reasoning and ontology as well as the calculation of similarity are also employed to clarify services based on services' location information. Effective feedback can be extracted based on the grouping of users and services. Service reliability is predicted through the smoothing forecasting method of weighted moving series on effective feedback. Simulation results show that the proposed GLBRP method can significantly improve accuracy and efficiency of prediction results compared with other methods.

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“…The authors first propose a reliability model for atomic Web services and then derive the reliability model of the composite Web service by considering both the relationship among the atomic services and the reliability model of each component service. In [47] both functional and non-functional requirements of Web services are considered, and the reliability is defined as a function of six attributes: correctness, fault tolerance, testability, interoperability, availability, and performance. The proposed approach is based on a list of candidate web services that is gradually reduced by eliminating some candidates on the basis of a reliability criteria.…”

Section: Related Workmentioning

confidence: 99%

“…Approaches that explicitly deal with the reliability prediction are proposed in [16][17][18]36,37,41,47]. In [18] an UML-based framework to predict the reliability of a two-tier application is proposed.…”

Section: Related Workmentioning

confidence: 99%

A model-driven method for describing and predicting the reliability of composite services

Bocciarelli

D’Ambrogio

2010

Softw Syst Model

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Service-oriented computing is the prominent paradigm for viewing business processes as composed of functions provided by modular and standardized services. Web services are the building blocks for the application of service-oriented computing on the Web and provide the necessary support for the consolidation of multiple services into a single composite service corresponding to the overall process. In such a context, service providers are strategically interested in both describing the quality of service (QoS) characteristics of offered services, to better qualify their offer and gain a significant advantage in the global marketplace, and predicting the level of QoS that can be offered to service consumers when building composite web services that make use of services managed by various service providers. This paper illustrates a model-driven method to automatically describe and predict the QoS of composite web services specified by use of business process execution language (BPEL). The paper specifically addresses the reliability characteristic of the QoS. The proposed method is founded on Q-WSDL, a lightweight WSDL extension for the description of the QoS characteristics of a web service, and exploits Q-WSDL to annotate reliability data onto a BPEL-based UML model of the composite service. The UML model is then used to predict and describe the reliability of the composite web service. The proposed method is illustrated by use of an example application that deals with a composite web service for the migration of PSTN telephone numbers

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Criteria analysis and validation of the reliability of Web services-oriented systems

Abstract: Abstract

Cited by 46 publications

References 15 publications

Evaluating the Reliability of Web Services Based on BPEL Code Structure Analysis and Run-Time Information Capture

Evaluating the Reliability of Web Services Based on BPEL Code Structure Analysis and Run-Time Information Capture

Geographic Location-Based Service Reliability Prediction

A model-driven method for describing and predicting the reliability of composite services

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