QoS-Driven Selection of Web Services for Transactional Composition

Haddad, Joyce El; Manouvrier, Maude; Ramírez, Gema; Rukoz, Marta

doi:10.1109/icws.2008.116

Cited by 52 publications

(22 citation statements)

References 9 publications

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“…In the literature, a number of QoS-aware Web service selection mechanisms have been developed, aiming at QoS improvement in composite services [3,24,30]. In [30], Zeng et al present a general and extensible model to evaluate the QoS of composite services.…”

Section: Related Workmentioning

confidence: 99%

“…Based on their model, a service selection approach has been introduced using linear programming techniques to compute optimal execution plans for composite services. The work in [3] addresses the selection and composition of Web services based on functional requirements, transactional properties and QoS characteristics. In this model, services are selected in a way that satisfies user preferences, expressed as weights over QoS and transactional requirements.…”

Section: Related Workmentioning

confidence: 99%

“…In the literature, there are some existing studies for service composition and quality driven service selection [3,16,24,28,30]. However, for trust-oriented composite service selection and discovery, some research problems remain open.…”

Section: Introductionmentioning

confidence: 99%

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Trust-Oriented Composite Service Selection and Discovery

Wang

Lim

2009

Service-Oriented Computing – ICSOC 2007

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Abstract. In Service-Oriented Computing (SOC) environments, service clients interact with service providers for consuming services. From the viewpoint of service clients, the trust level of a service or a service provider is a critical issue to consider in service selection and discovery, particularly when a client is looking for a service from a large set of services or service providers. However, a service may invoke other services offered by different providers forming composite services. The complex invocations in composite services greatly increase the complexity of trust-oriented service selection and discovery. In this paper, we propose novel approaches for composite service representation, trust evaluation and trust-oriented service selection and discovery. Our experiments illustrate that compared with the existing approaches our proposed trust-oriented service selection and discovery algorithm is realistic and more efficient.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Trust-Oriented Composite Service Selection and Discovery

Wang

Lim

2009

Service-Oriented Computing – ICSOC 2007

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“…Similarly QoS [16] is also a critical research topic to satisfy the customer's user-dependent QoS performance of web services or cloud as well as non-functional QoS parameters like evaluations of software systems and components [16]. In cloud computing [28], many approaches were proposed for the selection of a good web service [8,29], web service compositions [7,13,17,18,25], failure rate of web services [6], recommendation of web services [19], web services reliability prediction [5,6] etc.…”

Section: Related Workmentioning

confidence: 99%

“…Now days, a number of research work is being carried out in finding the optimal communications costs [5,6] among WSs to improve QoS. For evaluations of communication cost amongst WSs [11,12] and to find the set of optimal WSs [13,14,18], users need to know their values of QoS [15]. On invoking the same WSs from different locations the user experiences different communication cost values.…”

Section: Introductionmentioning

confidence: 99%

Comparative study on machine learning techniques in predicting the QoS-values for web-services recommendations

Kumar

Pandey

Nath

et al. 2015

International Conference on Computing, Communication &Amp; Automation

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This is an era of Internet computing and computing as a service on the internet is called cloud computing. Mainly three services like SaaS (applications), PaaS, and IaaS are being accessed through internet on demand, pay as per usage basis. Quality of Service (QoS) is the main issue in internet based computing for service providers and user-dependent as well as user-independent QoS parameters. In the current work we compared different machine learning algorithms for predicting the response time and throughput QoS values using past usage data. Bagging and support vector machines are found to be better performing prediction methods in comparison with other learning algorithms.

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Trust‐oriented QoS‐aware composite service selection based on genetic algorithms

Gao

Yan

2013

Concurrency and Computation

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SUMMARYService selection in service‐oriented computing has emerged to be an increasingly important research area. From the client's point of view, in addition to the QoS of a service or a service composition, the trust level becomes an important part. As the complexity of invocation in service composition has been greatly increased, a comprehensive mechanism, which could evaluate both the subjective aspect as trust expression and the objective aspect as QoS, is needed. In this paper, we provide a formal service composition architecture for service selection. In addition, we propose a trust evaluation method for the service composition plan based on the subjective probability theory, based on them, our trust‐oriented genetic algorithm (TOGA) is proposed to find a near‐optimal service composition plan with QoS constraints. Experimental results have illustrated that our proposed approach can discover the near‐optimal solution efficiently. Copyright © 2013 John Wiley & Sons, Ltd.

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QoS-Driven Selection of Web Services for Transactional Composition

Cited by 52 publications

References 9 publications

Trust-Oriented Composite Service Selection and Discovery

Trust-Oriented Composite Service Selection and Discovery

Comparative study on machine learning techniques in predicting the QoS-values for web-services recommendations

Trust‐oriented QoS‐aware composite service selection based on genetic algorithms

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