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首页> 外文期刊>International journal of mobile computing and multimedia communications >Statistically Enhanced Multi-Dimensional Trust Computing Mechanism for Cloud Computing
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Statistically Enhanced Multi-Dimensional Trust Computing Mechanism for Cloud Computing

机译：统计增强的云计算多维信任计算机制

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摘要

Quality of service plays an important role in distributed systems. Cloud computing has been the recent entrant to the distributed system market and has revolutionized computing by changing the way computing resources are accessed and paid for. Users can access cloud services and pay only for the usage similar to utilities. Trust computing systems can be employed for identifying the service providers quality in terms of their adherence to the committed in SLAs. Several trust computing mechanisms have been proposed in literature based on various algorithms and functions. Almost all of them are based on a single performance parameter and modify the trust scores monotonously when performance deviations are reported. This paper proposes a trust computing mechanism that statistically validates the attribute monitored before modifying the trust scores. Hence the proposed mechanism is protected from momentary fluctuations in system performances. The experiments conducted show that the trust scores computed using the proposed mechanism are more representative of the long term system performance than the ones that were computed without the validation of the inputs.
机译：服务质量在分布式系统中起着重要作用。云计算一直是分布式系统市场的最新进入者，并通过改变访问和支付计算资源的方式彻底改变了计算。用户可以访问云服务，并且只需为类似于公用事业的使用付费。可以使用信任计算系统根据服务提供商对SLA中所承诺的遵守情况来确定其质量。在文献中已经提出了基于各种算法和功能的几种信任计算机制。几乎所有这些都基于单个性能参数，并且在报告性能偏差时单调修改信任评分。本文提出了一种信任计算机制，该机制在修改信任分数之前可以统计地验证所监视的属性。因此，保护​​了所提出的机制不受系统性能的瞬时波动的影响。进行的实验表明，与未经输入验证的情况下计算出的信任度相比，使用所提出的机制计算出的信任度更能代表长期系统性能。

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