云计算可信服务度量与评估模型研究

Cloud computing is the core of new generation information technology innovation,service is the core mode of cloud computing, to support and develop the cloud computing are national strategic demand. But, incomplete mechanism of trustworthy service have seriously restricted the further development of cloud computing. Measurement and evaluation of the trustworthy service is an important problem that urgently need to be overcame in cloud computing domain. Based on information entropy theory, this project will study measurement of risk which influences cloud service creditability and evaluation of the cloud service creditability. The higher the risk, the lower the creditability. Therefore, measure, manage and control the risk is an important way for advancing cloud service creditability. On the one hand, this project will mine adequately cloud computing characteristic, then construct a risk attribute model for cloud service, and develop a model to measure cloud service risk using information entropy theory and method. On the other hand, this research will refine many important attributes of trustworthy cloud service, then create a trustworthy service attribute model in cloud computing, and develop a model to evaluate creditability of cloud service using systems science and systems engineering method, and then optimize the model by information entropy theory. This research will obtain many innovations and achievements for trustworthy service theory in cloud computing, and the results are applicable or referrible for governments, enterprises and related organizations to measurement and evaluation of cloud service credibility.

云计算是新一代信息技术变革的核心，其核心模式是服务，支持和发展云计算是国家战略需要！但云计算可信服务机制的不健全已严重制约着云计算的发展和应用，可信服务度量与评估是云计算领域亟待突破的重要研究课题。本项目将用信息熵理论从影响云服务可信性的风险度量和可信服务评价两方面进行研究。风险越高则可信性越低，度量、管理和控制风险是提升云服务可信性的途径之一。因此，本项目一方面将充分挖掘云计算特点，建立云服务风险属性模型，并以此为基础，用信息熵理论与方法度量云服务风险，建立云服务风险度量的熵模型。另一方面，将凝炼云计算可信服务的若干重要属性，建立云计算可信服务属性模型，并用系统科学与系统工程方法构建云计算可信服务评价模型，再用信息熵理论与方法对模型进行优化。实现云计算可信服务理论的创新与完善，为度量和评估云计算服务可信性提供一种理论和方法，并可供政府、企业和相关机构应用或参考，从而推动云计算发展和应用。

云计算的特点及其可信服务机制的不健全已严重制约着云计算的发展和应用，因此项目研究该问题，从影响云服务可信性的风险度量和可信服务评价两个方面展开研究。项目已按计划执行，完成了预期的研究内容和目标，主要成果为：（1）从云服务隐私风险、云服务技术风险、云服务运营管理风险三个维度建立了云计算服务风险属性模型。（2）以云计算服务风险属性模型为基础，建立了基于信息熵、马尔科夫链、模糊集的云计算风险度量模型。（3）从云服务可视性、可控性、安全性、可靠性、云服务提供商生存能力以及用户满意度等多个方面构建了云计算可信服务模型，该模型充分考虑了各因素之间的关联性，对云服务可信性作了一个全面的描述，为云计算可信服务评价奠定了基础。（4）使用信息熵、马尔科夫链、灰色聚类方法建立了云计算可信服务评价模型。为度量和评估云计算服务可信性提供了切实可操作的理论和方法。