Reliable Web service selection in choreographed environments

Hwang, San‐Yih; Lee, Chien-Hsiang

doi:10.1016/j.dss.2012.12.017

Cited by 7 publications

(6 citation statements)

References 42 publications

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“…It seems logical to believe that some cloud services in customer-service matrix may have high significances in making recommendations [33] , [34] . For instance, a cloud service, which has more useful historical records, may be regarded as more important compared with a negative service.…”

Section: Methodsmentioning

confidence: 99%

Decision Support for Personalized Cloud Service Selection through Multi-Attribute Trustworthiness Evaluation

et al. 2014

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Facing a customer market with rising demands for cloud service dependability and security, trustworthiness evaluation techniques are becoming essential to cloud service selection. But these methods are out of the reach to most customers as they require considerable expertise. Additionally, since the cloud service evaluation is often a costly and time-consuming process, it is not practical to measure trustworthy attributes of all candidates for each customer. Many existing models cannot easily deal with cloud services which have very few historical records. In this paper, we propose a novel service selection approach in which the missing value prediction and the multi-attribute trustworthiness evaluation are commonly taken into account. By simply collecting limited historical records, the current approach is able to support the personalized trustworthy service selection. The experimental results also show that our approach performs much better than other competing ones with respect to the customer preference and expectation in trustworthiness assessment.

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Section: Methodsmentioning

confidence: 99%

Decision Support for Personalized Cloud Service Selection through Multi-Attribute Trustworthiness Evaluation

et al. 2014

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“…[47] Possibly low success rate; no performance evaluation. [53] No support for service selection of multiple, independent CS requests; service bundling not supported; end-to-end QoS constraints not supported. [16] No direct support for composite service requests.…”

Section: Cs Requestsmentioning

confidence: 99%

Simultaneous service selection for multiple composite service requests: A combinatorial auction approach

Moghaddam

Davis

2019

Decision Support Systems

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“…This verification requires communicating with the two involved web services in the selection related to rec. As such, both the selecting web service (i.e., WS i-1 ) and the selected service (WS i ) are retrieved from rec and proof i , respectively (lines [12][13]. Afterwards, the copy corresponding to UR a i TK , as was used by WS i-1 , is requested directly from WS i-1 (getting 1 WS i UR a i TK  in line 14).…”

Section: Ur Double Proof Testmentioning

confidence: 99%

“…These constraints are requirements that can be imposed either by end-users, regarding their personal service preferences, or by web service providers, regarding some quality of service (QoS) criteria that they might require in potential collaborators [17]. The scenario of CWSCs has attracted considerable attention from researchers considering both the orchestration [19] and the choreography deployment approaches [2], [13]. The crucial issue being addressed is the selection of the appropriate web service to be invoked for a given activity in the workflow such that the composite service satisfies all constraints and gives the best overall performance.…”

Section: Introductionmentioning

confidence: 99%

Correctness Control of Privacy-Preserving Decentralized Constrained Web Service Compositions Through Auditing

Bahri¹,

Carminati²,

Ferrari³

et al. 2016

STSC

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Deploying web service (WS) compositions following a choreography has been attracting considerable interest as it brings the advantages of decentralization in terms of performance and privacy preservation. However, in the absence of a central entity, the choreography model suffers from lack of control regarding the selection of appropriate WSes. This is further aggravated in the case of constrained compositions, where service selection is bounded by a set of requirements imposed either by the user requesting the composite service or by the WSes involved in the composition. In this scenario, it is essential to provide assurance that all selected services satisfied the posed constraints. This requirement might constitute a serious limitation to the acceptance of the choreography model, compared to the central orchestration driven one, as entities might collude to select each other even if they are not enough qualified for the task. To save the benefits of the choreography model all while ensuring control against collusion, we suggest an audit-based correctness control combined with a reputation system. Our approach detects anomalous behaviors, it deters entities from collusion with a punish-based reputation system, and it ensures the audit in a privacy preserving manner without subverting the performance of the choreography approach.

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Reliable Web service selection in choreographed environments

Cited by 7 publications

References 42 publications

Decision Support for Personalized Cloud Service Selection through Multi-Attribute Trustworthiness Evaluation

Decision Support for Personalized Cloud Service Selection through Multi-Attribute Trustworthiness Evaluation

Simultaneous service selection for multiple composite service requests: A combinatorial auction approach

Correctness Control of Privacy-Preserving Decentralized Constrained Web Service Compositions Through Auditing

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