QoS computation and policing in dynamic web service selection

Liu, Yutu; Ngu, Anne H. H.; Zeng, Liang Z.

doi:10.1145/1013367.1013379

Cited by 693 publications

(310 citation statements)

References 8 publications

Supporting

Mentioning

294

Contrasting

Unclassified

Order By: Relevance

“…Regarding the QoS-aware service selection issue, Liu et al [5] modeled the selection process as a fuzzy constraint satisfaction problem, and then solved the problem using an optimal search method based on systematic adjustments to the service composition. Meanwhile, Wang et al [8] proposed a fuzzy model for the selection of QoSaware web services based on the consumers' preferences or satisfaction degree as expressed in terms of both functional and non-functional weightings of the QoS criteria.…”

Section: Web Service Discovery and Selectionmentioning

confidence: 99%

See 1 more Smart Citation

An evidence-based scheme for web service selection

Wang

Chao

et al. 2011

Inf Technol Manag

View full text Add to dashboard Cite

Existing studies on the web service selection problem focus mainly on the functional QoS properties of the service rather than the consumer satisfaction and trust aspects. While a good QoS enhances the reputation of a service, different consumers invariably hold differing views of the service contents. Some service reputation approaches primarily consider the consumer's prior experience of the service via opinion feedback system, may neglect the effect of social trust transition in the recommendations of others. As a result, the problem of reaching consensus on the level of consumer trust regarding service becomes one of key issues in service selection. This study proposes a trust-based service selection model to estimate the degree of consumer trust in a particular service based on the consumers' direct experience and indirect recommendation of the service. In the proposed approach, the degree of consumer trust is correctly estimated by extending Dempster-Shafer evidence reasoning theory to the reputation computation using consumers' direct experience and incorporating Jøsang's belief model for solving the trust transition problem in the indirect recommendation of the service. The proposed model effectively enables deception detection by means of existing bodies of evidence, and therefore excludes the fraudulent evidence of malicious evaluators from the selection process. In addition, a quality index is proposed to help third party (TTP) examine the body of evidence and make the outranking result more reliable. Importantly, the quality index is based not only on the confidence degree of the evidence, but also on the support degree, and therefore discovers the effects of intentional negative assessments.The validity of the proposed approach is demonstrated numerically by means of two service selection examples.

show abstract

Section: Web Service Discovery and Selectionmentioning

confidence: 99%

“…While many web services have overlapping or even identical, they generally vary in the level of QoS which they provide. Therefore, in attempting to meet consumers' service requirements, service providers are faced with a QoS-aware service selection problem [1][2][3][4][5][6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

An evidence-based scheme for web service selection

Wang

Chao

et al. 2011

Inf Technol Manag

View full text Add to dashboard Cite

show abstract

“…Items such as price, time, reliability, security and trust will be considered inside (just like most models published [10,20,21] .) since these are common items for QoS.…”

Section: General Qos Model and Composition Calculationmentioning

confidence: 99%

QoS Requirement Generation and Algorithm Selection for Composite Service Based on Reference Vector

Chi

et al. 2009

J. Comput. Sci. Technol.

View full text Add to dashboard Cite

Wu BY, Chi CH, Xu SJ et al. QoS requirement generation and algorithm selection for composite service based on reference vector. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 24(2): 357- AbstractUnder SOA (Service-Oriented Architecture), composite service is formed by aggregating multiple component services together in a given workflow. One key criterion of this research topic is QoS composition. Most work on service composition mainly focuses on the algorithms about how to compose services according to assumed QoS, without considering where the required QoS comes from and the selection of user preferred composition algorithm among those with different computational cost and different selection results. In this paper, we propose to strengthen current service composition mechanism by generation of QoS requirement and its algorithm selection based on the QoS reference vectors which are calculated optimally from the existing individual services' QoS by registry to represent QoS overview about the best QoS, the worst (or most economical) QoS, or the average QoS of all composite services. To implement QoS requirement, which is determined according to QoS overview, this paper introduces two selection algorithms as two kinds of experiment examples, one aiming at the most accurate service selection and the other chasing for trade-off between selection cost and result. Experimental results show our mechanism can help the requester achieve his expected composite service with appropriate QoS requirement and customized selection algorithm.

show abstract

“…QoS qualities are modeled using Web Service Modeling Ontology (WSMO) and a selection algorithm which claims to be fair and objective is proposed. The underlying QoS computation is similar to what we proposed in [41] which has been incorporated in our framework. In [42], a comprehensive QoS management system that emphasized on time, cost and reliability is proposed.…”

Section: Related Workmentioning

confidence: 99%

Dynamic composition and optimization of Web services

Zeng

Ngu

Benatallah

et al. 2008

Distrib Parallel Databases

View full text Add to dashboard Cite

Process-based composition of Web services has recently gained significant momentum for the implementation of inter-organizational business collaborations. In this approach, individual Web services are choreographed into composite Web services whose integration logics are expressed as composition schema. In this paper, we present a goal-directed composition framework to support on-demand business processes. Composition schemas are generated incrementally by a rule inference mechanism based on a set of domain-specific business rules enriched with contextual information. In situations where multiple composition schemas can achieve the same goal, we must first select the best composition schema, wherein the best schema is selected based on the combination of its estimated execution quality and schema quality. By coupling the dynamic schema creation and quality-driven selection strategy in one single framework, we ensure that the generated composite service comply with business rules when being adapted and optimized. 46 Distrib Parallel Databases (2008) 24: 45-72

show abstract

QoS computation and policing in dynamic web service selection

Cited by 693 publications

References 8 publications

An evidence-based scheme for web service selection

An evidence-based scheme for web service selection

QoS Requirement Generation and Algorithm Selection for Composite Service Based on Reference Vector

Dynamic composition and optimization of Web services

Contact Info

Product

Resources

About