A Web Service Architecture Providing QoS Management

Garcia, Denise Hortência Lopes; Toledo, Maria Cristina Motta de

doi:10.1109/la-web.2006.3

Cited by 20 publications

(1 citation statement)

References 19 publications

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“…A reputation value of a service provider decays with time (Emekci, Sahin, Agrawal, & El-Abbadi, 2004;Garcia & Toledo, 2006). Hence, all the past reputation data may be of little or no importance to the service composer.…”

Section: Strategies For Mitigating Reputation Milkingmentioning

confidence: 99%

Reputation Management for Composite Services in Service-Oriented Systems

Nepal

Malik

Bouguettaya

2011

International Journal of Web Services Research

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This paper investigates the problem of reputation management in composite services. The authors propose a novel reputation propagation technique in composite services. The proposed approach provides a fair distribution of reputation values so that a component service is neither penalised nor awarded for the poor and good performance, respectively, of other peer component services. Experiment results indicate that the proposed technique propagates the “fair share” of reputation from the composite service to its component services.

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Section: Strategies For Mitigating Reputation Milkingmentioning

confidence: 99%

Reputation Management for Composite Services in Service-Oriented Systems

Nepal

Malik

Bouguettaya

2011

International Journal of Web Services Research

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Performance‐driven dynamic service selection

Ghezzi

Manna

Motta

et al. 2014

Concurrency and Computation

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SummaryModern software systems are increasingly built by integrating different services implemented by independent organizations and offered in an open service marketplace. In such environment, multiple providers may compete with each other by publishing services that provide the same functionality, and export the same interface, but differ in the offered QoS and in particular in the offered performance. Clients and service integrators may therefore dynamically select the most efficient services that satisfy their requirements among the competing alternatives. Service selection may be performed by clients by following different strategies, which may ultimately affect the overall quality of service invocations. In this paper, we address the problem of analyzing and comparing different service selection strategies based on a framework that supports performance estimates. We report on quantitative analyses through simulations, highlighting advantages and limitations of each strategy. Copyright © 2014 John Wiley & Sons, Ltd.

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