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A formal approach for the specification and verification of a Trustworthy Human Resource Discovery mechanism in the Expert Cloud

机译:规范和验证专家云中可信赖的人力资源发现机制的正式方法

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Expert Cloud as a new class of Cloud computing systems enables its users to request the skill, knowledge and expertise of people without any information of their location by employing Internet infrastructures and Cloud computing concepts. One of the most important service in Expert Cloud is to search trustworthy peoples in order to benefit from their knowledge and skills. In this paper we propose a new and applicable method for Trustworthy Human Resource Discovery (THRD) in Expert Cloud by introducing a resource discovery and trust evaluating method, implement the proposed method by using ASP.Net and SQL in Expert Cloud; verify the structures and compositions of THRD by describing the behavioral models and state diagrams; define a Kripke structure with marked states to provide the formal relationship between the expanded model and the original state diagram structures; define the expected properties of the structures and compositions of THRD by means of temporal logic languages; and implement the proposed model by NuSMV model checker. The results show that the proposed method can discover trustworthy people efficiently and is sound, complete, reachable, fair, deadlock-free and consistent. (C) 2015 Elsevier Ltd. All rights reserved.
机译:专家云作为一种新型的云计算系统,通过使用Internet基础设施和云计算概念,其用户可以在不需要任何位置信息的情况下,请求人们的技能,知识和专长。专家云中最重要的服务之一是搜索可信赖的人,以便从他们的知识和技能中受益。本文通过引入资源发现和信任评估方法,提出了一种新的适用于专家云的可信赖人力资源发现方法,并通过在专家云中使用ASP.Net和SQL来实现。通过描述行为模型和状态图来验证THRD的结构和组成;定义带有标记状态的Kripke结构,以提供扩展模型与原始状态图结构之间的形式关系;通过时间逻辑语言定义THRD的结构和成分的预期特性;并通过NuSMV模型检查器实现提出的模型。结果表明,所提出的方法可以有效地发现值得信赖的人,并且健全,完整,可达,公平,无死锁且一致。 (C)2015 Elsevier Ltd.保留所有权利。

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