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T-Broker: A Trust-Aware Service Brokering Scheme for Multiple Cloud Collaborative Services

机译:T- Broker :一种用于多云协作服务的信任感知服务代理方案

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摘要

Oriented by requirement of trust management in multiple cloud environment, this paper presents T-, a trust-aware service brokering scheme for efficient matching cloud services (or resources) to satisfy various user requests. First, a trusted third party-based service brokering architecture is proposed for multiple cloud environment, in which the T- acts as a middleware for cloud trust management and service matching. Then, T- uses a hybrid and adaptive trust model to compute the overall trust degree of service resources, in which trust is defined as a fusion evaluation result from adaptively combining the direct monitored evidence with the social feedback of the service resources. More importantly, T- uses the maximizing deviation method to compute the direct experience based on multiple key trusted attributes of service resources, which can overcome the limitations of traditional trust schemes, in which the trusted attributes are weighted manually or subjectively. Finally, T- uses a lightweight feedback mechanism, which can effectively reduce networking risk and improve system efficiency. The experimental results show that, compared with the existing approaches, our T- yields very good results in many typical cases, and the proposed system is robust to deal with various numbers of dynamic service behavior from multiple cloud sites.
机译:针对多云环境中信任管理的需求,本文提出了一种T-(信任感知服务代理方案),用于高效匹配云服务(或资源)以满足各种用户需求。首先,针对多云环境提出了一种基于信任的第三方服务中介体系结构,其中T-充当云信任管理和服务匹配的中间件。然后,T-使用混合自适应信任模型来计算服务资源的总体信任度,其中信任被定义为通过将直接监视的证据与服务资源的社会反馈进行自适应组合而得到的融合评估结果。更重要的是,T-使用最大偏差法基于服务资源的多个关键可信属性来计算直接体验,可以克服传统信任方案的局限性,传统的信任方案是对信任属性进行手动或主观加权。最后,T-使用轻量级反馈机制,可以有效降低网络风险并提高系统效率。实验结果表明,与现有方法相比,我们的T-在许多典型情况下都能产生很好的结果,并且所提出的系统对于处理来自多个云站点的各种动态服务行为具有鲁棒性。

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