A Meta-model for QoS Monitoring in a Dynamic Service-Component Platform

Souza, Fabio; Silva, Tarcisio C.; Cavalcanti, David; Rosa, Nelson Souto; Lima, Ricardo

doi:10.1109/scc.2015.69

Cited by 3 publications

(2 citation statements)

References 5 publications

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“…These work proposed a trustworthy evaluation approach to the service's QoS based on the service's QoS history data. Another studies 9,10 proposed a dynamic service composition framework by monitoring QoS, aiming at timely adjusting the service composition scheme according to the real‐time QoS. However, these studies do not actually solve the issue of untruthful QoS, since service providers can continually provide services with the untruthful QoS.…”

Section: Introductionmentioning

confidence: 99%

SPASC: Strategy‐proof auction mechanism with cost and QoS incentive for service composition

Yao

Huang

Zhang

et al. 2021

Concurrency and Computation

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In cloud computing, service composition provides an appealing paradigm to compose existing single services into a powerful workflow. The critical issues in service composition is that service providers may lie about the service's cost and QoS for more profits. However, existing studies only address the issue of services' untruthful cost, none of the studies consider both the issue of untruthful cost and untruthful QoS. Thus, it is necessary to design an incentive mechanism to motivate service providers to offer services with the truthful cost and truthful QoS. To address the above challenging issues, we propose the strategy‐proof auction mechanism for service composition (SPASC), which can determine the winners and dynamically calculate the price of services. To the best of our knowledge, this is the first study to design an incentive mechanism to motivate service providers to offer services with the truthful cost and truthful QoS in this field. Furthermore, we propose an auction algorithm to implement the SPASC. Both theoretical proof and the extensively experimental results validate that SPASC achieves the truthfulness and individual rationality. At the same time, the experimental results also prove that this mechanism can motivate service providers to offer services with the truthful cost and truthful QoS.

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Section: Introductionmentioning

confidence: 99%

SPASC: Strategy‐proof auction mechanism with cost and QoS incentive for service composition

Yao

Huang

Zhang

et al. 2021

Concurrency and Computation

View full text Add to dashboard Cite

show abstract

“…In the QoS research, there are five main ways to obtain QoS of untrustworthy Web services, which are QoS collection [8], [9], QoS monitoring [10], [11], QoS prediction [12], [13], QoS evaluation [14], [15], and QoS management [16], [17]. Since the QoS collection approaches mainly focus on testing the quality of Web services under various environments, it may be confined by the high cost of testing environments and human resource.…”

Section: Introductionmentioning

confidence: 99%

An Intelligent QoS Identification for Untrustworthy Web Services via Two-Phase Neural Networks

Wang

Lü

2016

2016 IEEE International Conference on Web Services (ICWS)

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Abstract-QoS identification for untrustworthy Web services is critical in QoS management in the service computing since the performance of untrustworthy Web services may result in QoS downgrade. The key issue is to intelligently learn the characteristics of trustworthy Web services from different QoS levels, then to identify the untrustworthy ones according to the characteristics of QoS metrics. As one of the intelligent identification approaches, deep neural network has emerged as a powerful technique in recent years. In this paper, we propose a novel two-phase neural network model to identify the untrustworthy Web services. In the first phase, Web services are collected from the published QoS dataset. Then, we design a feedforward neural network model to build the classifier for Web services with different QoS levels. In the second phase, we employ a probabilistic neural network (PNN) model to identify the untrustworthy Web services from each classification. The experimental results show the proposed approach has 90.5% identification ratio far higher than other competing approaches.

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An Intelligent QoS Identification for Untrustworthy Web Services Via Two-phase Neural Networks

Wang

2016

Preprint

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A Meta-model for QoS Monitoring in a Dynamic Service-Component Platform

Cited by 3 publications

References 5 publications

SPASC: Strategy‐proof auction mechanism with cost and QoS incentive for service composition

SPASC: Strategy‐proof auction mechanism with cost and QoS incentive for service composition

An Intelligent QoS Identification for Untrustworthy Web Services via Two-Phase Neural Networks

An Intelligent QoS Identification for Untrustworthy Web Services Via Two-phase Neural Networks

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