B M Mansour Merrihan, Abdelkader Tamer, Hashem Mohamed, El-Horbaty El-Sayed M
BAEPS, The British University in Egypt, Egypt.
Faculty of Computers & Information Sciences, Ain Shams University, Cairo, Egypt.
PeerJ Comput Sci. 2021 Sep 15;7:e700. doi: 10.7717/peerj-cs.700. eCollection 2021.
Mobile edge computing (MEC) is introduced as part of edge computing paradigm, that exploit cloud computing resources, at a nearer premises to service users. Cloud service users often search for cloud service providers to meet their computational demands. Due to the lack of previous experience between cloud service providers and users, users hold several doubts related to their data security and privacy, job completion and processing performance efficiency of service providers. This paper presents an integrated three-tier trust management framework that evaluates cloud service providers in three main domains: Tier I, which evaluates service provider compliance to the agreed upon service level agreement; Tier II, which computes the processing performance of a service provider based on its number of successful processes; and Tier III, which measures the violations committed by a service provider, per computational interval, during its processing in the MEC network. The three-tier evaluation is performed during Phase I computation. In Phase II, a service provider total trust value and status are gained through the integration of the three tiers using the developed overall trust fuzzy inference system (FIS). The simulation results of Phase I show the service provider trust value in terms of service level agreement compliance, processing performance and measurement of violations independently. This disseminates service provider's points of failure, which enables a service provider to enhance its future performance for the evaluated domains. The Phase II results show the overall trust value and status per service provider after integrating the three tiers using overall trust FIS. The proposed model is distinguished among other models by evaluating different parameters for a service provider.
移动边缘计算（MEC）作为边缘计算范式的一部分被引入，它在更靠近服务用户的场所利用云计算资源。云服务用户经常寻找云服务提供商来满足他们的计算需求。由于云服务提供商和用户之间缺乏先前的经验，用户对其数据安全和隐私、服务提供商的作业完成情况以及处理性能效率存在诸多疑虑。本文提出了一个集成的三层信任管理框架，该框架在三个主要领域评估云服务提供商：第一层，评估服务提供商对商定的服务水平协议的遵守情况；第二层，根据服务提供商成功处理的数量计算其处理性能；第三层，衡量服务提供商在MEC网络中处理期间每个计算间隔内所犯的违规行为。三层评估在第一阶段计算期间进行。在第二阶段，通过使用开发的总体信任模糊推理系统（FIS）对三层进行整合，得出服务提供商的总信任值和状态。第一阶段的仿真结果分别显示了服务提供商在服务水平协议遵守情况、处理性能和违规行为衡量方面的信任值。这揭示了服务提供商的失败点，使服务提供商能够在评估领域提高其未来性能。第二阶段的结果显示了使用总体信任FIS对三层进行整合后每个服务提供商的总体信任值和状态。所提出的模型通过评估服务提供商的不同参数，在其他模型中脱颖而出。
