Using 3-Way Satisfaction for Web Service Selection: Preliminary Investigation

Lim, Erbin; Thiran, Philippe; Maamar, Zakaria

doi:10.1109/scc.2011.59

Cited by 5 publications

(4 citation statements)

References 9 publications

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“…On the other hand the model proposed in this paper takes user's requirements and satisfaction into consideration for ranking the web services. 3-Way Satisfaction for Web Service Selection [14] gives selection method with in a community and uses Score (availability, correctness, execution time).…”

Section: Simulation Environment Implementation Results and Comparatmentioning

confidence: 99%

QOS Aware Formalized Model for Semantic Web Service Selection

Sachan¹,

Dixit²,

Kumar³

2014

IJWesT

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Section: Simulation Environment Implementation Results and Comparatmentioning

confidence: 99%

QOS Aware Formalized Model for Semantic Web Service Selection

Sachan¹,

Dixit²,

Kumar³

2014

IJWesT

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show abstract

Section: Simulation Environment Implementation Results and Comparatmentioning

confidence: 99%

A Formalized Model for Semantic Web Service Selection Based on QoS Parameters

Sachan¹,

Dixit²,

Kumar³

2014

Computer Science &Amp; Information Technology ( CS &Amp; IT )

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“…Another set of authors Lim et al (2011) and Vergin Raja Sarobin et al, (2016aor 2016b proposed a web service selection within a community by calculating scores for other slave web services based on QoS parameters by a master web service.…”

Section: Related Workmentioning

confidence: 99%

A Four-level Linear Discriminant Analysis Based Service Selection in the Cloud Environment

Bhushan¹,

Reddy²

2016

IJTech

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The cloud is an outstanding platform to deal with functionally equivalent services which are exponentially increasing day-by-day. The selection of services to meet the client requirements is a subtle task. The services can be selected by ranking all the candidate services using their network and non-network Quality-of-Service (QoS) parameters, which is formulated as a NP hard optimization problem. In this paper, we proposed a linear discriminant analysis (LDA) based a four level matching model for service selection based on QoS parameters, which includes description matching of a service, matchmaking phase, LDA-based QoS matching and ranking. The LDA-service selection agent is deployed on each cloud to classify services into classes and rank the services based on the aggregate QoS value of each service. Finally, the test results show the efficiency in service selection with minimal discovery overhead, significant reduction in the computation time and the number of candidate services to be considered.

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Using 3-Way Satisfaction for Web Service Selection: Preliminary Investigation

Cited by 5 publications

References 9 publications

QOS Aware Formalized Model for Semantic Web Service Selection

QOS Aware Formalized Model for Semantic Web Service Selection

A Formalized Model for Semantic Web Service Selection Based on QoS Parameters

A Four-level Linear Discriminant Analysis Based Service Selection in the Cloud Environment

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