Experiences of sampling-based approaches for estimating QoS parameters in the Web Service composition problem

Blanco, Eduardo; Cardinale, Yudith; Vidal, María-Esther

doi:10.1504/ijwgs.2012.046729

Cited by 8 publications

(4 citation statements)

References 23 publications

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“…ANAPSID (Acosta et al , 2011) keeps a list of predicates, the execution timeout properties of the endpoints and the statistics as metadata catalog. The endpoints’ execution timeouts and statistics are collected by an adaptive sampling technique (Vidal et al , 2010; Blanco et al , 2012) or during the query execution. It also updates the statistics on the fly.…”

Section: Data Source Selectionmentioning

confidence: 99%

Federated query processing on linked data: a qualitative survey and open challenges

Oğuz¹,

Ergenc²,

Yin³

et al. 2015

The Knowledge Engineering Review

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A large number of data providers publish and connect their structured data on the Web as linked data. Thus, the Web of data becomes a global data space. In this paper, we initially give an overview of query processing approaches used in this interlinked and distributed environment, and then focus on federated query processing on linked data. We provide a detailed and clear insight on data source selection, join methods and query optimization methods of existing query federation engines. Furthermore, we present a qualitative comparison of these engines and give a complementary comparison of the measured metrics of each engine with the idea of pointing out the major strengths of each one. Finally, we discuss the major challenges of federated query processing on linked data.

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Section: Data Source Selectionmentioning

confidence: 99%

Federated query processing on linked data: a qualitative survey and open challenges

Oğuz¹,

Ergenc²,

Yin³

et al. 2015

The Knowledge Engineering Review

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show abstract

“…Cardinale (2011) presented a selection algorithm that satisfies the user query functional conditions expressed as input and output attributes, QoS requirements represented by weights over criteria and transactional properties expressed as a risk level. Blanco et al (2012) proposed sampling-based techniques to accurately estimate QoS values that will be used in a hybrid composer, to identify the compositions that best meet a user request. Jiang et al (2012) proposed an event driven continuous query algorithm for QoS-aware automatic service composition problem to cope with different types of dynamic services.…”

Section: Related Workmentioning

confidence: 99%

“…For instance, a customer may want lessening the response time while satisfying certain constraints with price and reliability, while another user may give more importance to the price than to the response time. A QoS-aware approach to web service composition is therefore needed, which maximises the QoS of composite services by taking into account the constraints and preferences set by the customers (Blanco et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Efficient QoS management for QoS-aware web service composition

Wang

Zhu

Yang

2014

IJWGS

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In this paper, we propose an efficient QoS management approach for QoS-aware web service composition. In the approach, we classify web services according to theirs similarity and then design a QoS tree to manage the QoS the classified web services. Besides, by querying the managed QoS, we propose a QoS-aware web service composition via a particle swarm optimisation algorithm to perform fast web service composition. Experimental results based on two kinds of dataset show our proposed approach outperforms other schemes in terms of query cost, computation time and optimality.

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“…They clarify that QoS refers to the quality aspects of a service (actually Web service) [20]. These metrics are used to select a service directly, where the service selection is decided by QoS attributes [3]. Because trust is also built for each quality aspect of a service (i.e.…”

Section: B Trust Evaluationmentioning

confidence: 99%

Quantitative Trust Management to Support QoS-Aware Service Selection in Service-Oriented Environments

Kim¹,

Doh²

2013

2013 International Conference on Parallel and Distributed Systems

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Owing to the black-box nature of services, selecting a trustworthy service that best fits users' requirements is greatly critical in service-oriented computing. Once a set of services fulfilling users' functional requirements are founded, one of these services invoked by the users depends mostly on the Quality of Services (QoS), particularly security, trust, and reputation. This paper proposes a trust management model to support service discovery and selection based on QoS. We define a quantitative trust evaluating method for dynamic service discovery and selection. The proposed model makes service consumers get trustworthy services possible. Our mechanism uses consumers' feedback to describe the trust degree of services and service providers. The service selection using the quantitative measurement rather than consumers' intuition allows selecting a highly reliable service accomplishing their quality requirements well. Finally, we give experimental results.

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Experiences of sampling-based approaches for estimating QoS parameters in the Web Service composition problem

Cited by 8 publications

References 23 publications

Federated query processing on linked data: a qualitative survey and open challenges

Federated query processing on linked data: a qualitative survey and open challenges

Efficient QoS management for QoS-aware web service composition

Quantitative Trust Management to Support QoS-Aware Service Selection in Service-Oriented Environments

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