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首页> 外文期刊>International Journal of Web Based Communities >Dynamic ranking of cloud services for web-based cloud communities: efficient algorithm for rating-based discovery and multi-level ranking of cloud services
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Dynamic ranking of cloud services for web-based cloud communities: efficient algorithm for rating-based discovery and multi-level ranking of cloud services

机译：基于Web的云社区的云服务动态排名：基于评级的发现和云服务多级别排名的高效算法

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摘要

Trust assessment in cloud depends on QoS attributes. While evaluating the trustworthiness of the CSPs, traditional methods of trust assessment do not take into account QoS attributes that keep changing dynamically. To address the issue of determining the trustworthiness of CSPs in web, rating based dynamic discovery (RBDD) of QoS attributes that keeps changing periodically and multi-layer ranking (MLR) algorithm that ranks the discovered CSPs in an efficient manner have been proposed. This approach allows us to evaluate CSPs trustworthiness from cloud auditors perception. evaluation results indicates that the RBDD is capable of sensing behavioural changes in CSPs and discovers the dynamic trustworthy service providers and MLR algorithm ranks them based on CC requirements with high accuracy and minimal time complexity compared to other approaches. The proposed system has been validated with synthetic dataset owing to absence of standardisation.
机译：云中的信任评估取决于QoS属性。在评估CSP的可信赖性时，传统的信任评估方法没有考虑不断变化的QoS属性。为了解决确定Web中CSP可信度的问题，提出了一种基于QoS属性的基于等级的动态发现（RBDD）（该值不断变化）和一种以有效方式对发现的CSP进行排名的多层排名（MLR）算法。这种方法使我们能够从云审计师的感知评估CSP的可信度。评估结果表明，RBDD能够感知CSP中的行为变化，并发现动态可信赖的服务提供商，而MLR算法与其他方法相比，基于CC要求对它们进行了排名，准确性高且时间复杂度最低。由于缺乏标准化，建议的系统已使用综合数据集进行了验证。

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