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Determination of Trustworthiness of Cloud Service Provider and Cloud Customer

机译:确定云服务提供商和云客户的可信度

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In service-oriented computing environment (e.g. cloud computing), Cloud Customers (CCs) and Cloud Service Providers (CSPs) require to calculate the trust ranks of impending partner prior to appealing in communications. Determining trustworthiness dynamically is a demanding dilemma in an open and dynamic environment (such as cloud computing) because of many CSPs providing same types of services. Presently, there are very less number of dynamic trust evaluation scheme that permits CCs to evaluate CSPs trustworthiness from multi-dimensional perspectives. Similarly, there is no scheme that permits CSPs to evaluate trustworthiness of CCs. This paper proposes a Multidimensional Dynamic Trust Evaluation Scheme (MDTES) that facilitates CCs to evaluate the trustworthiness of CSPs from various viewpoints. Similar approach can be employed by CSPs to evaluate the trustworthiness of CCs. The proposed MDTES helps CCs to choose trustworthy CSP and to have desired QoS requirements and CSPs to choose desired and legal CCs. The simulation results illustrate the MDTES is dynamic and steady in distinguishing trustworthy and untrustworthy CSPs and CCs.
机译:在面向服务的计算环境(例如,云计算)中,云客户(CC)和云服务提供商(CSP)要求在通信吸引之前计算即将到来的合作伙伴的信任等级。在开放和动态环境(例如云​​计算)中,动态确定可信赖度是一个艰巨的难题,因为许多CSP提供相同类型的服务。当前,允许CC能够从多维角度评估CSP可信度的动态信任评估方案的数量很少。同样,也没有方案允许CSP评估CC的可信度。本文提出了一种多维动态信任评估方案(MDTES),该方案可帮助CC从各种角度评估CSP的可信度。 CSP可以采用类似的方法来评估CC的可信度。提议的MDTES可以帮助CC选择值得信赖的CSP并具有所需的QoS要求,并帮助CSP选择所需的合法CC。仿真结果表明,MDTES在区分可信赖的和不可信赖的CSP和CC方面是动态且稳定的。

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