基于信息和马尔科夫链的云服务可信度测量
1School of Information Engineering, Sanming University, Sanming, 365004, China.
Scientific reports
|January 7, 2026
概括
这项研究引入了一种评估云服务可信度的新模型,提高了15%的预测准确性. 它通过了解云计算中的安全性和可靠性等因素,帮助用户做出更好的选择.
科学领域:
- 计算机科学 计算机科学
- 信息系统信息系统信息系统
背景情况:
- 用户对服务可信度的怀疑,阻碍了云计算的采用.
- 缺乏对影响云服务可信度的因素的系统理解.
研究的目的:
- 分析用户对云服务信贷和信誉的需求.
- 开发一个全面的模型来衡量云服务的可信度.
主要方法:
- 定义了云服务可信度的六个维度:可见性,可控性,安全性,可靠性,提供商可行性和用户满意度.
- 开发了一种综合信息和马尔科夫链的测量模型,以量化不确定性和影响.
主要成果:
- 拟议的模型计算了每个因素对云服务可信度和提供商可信度水平的影响.
- 实验验证显示,与传统的AHP方法相比,预测准确度有15%的改善.
- 该模型在动态场景中表现出更强的适应性.
结论:
- 信息和马尔科夫链模型为评估云服务可信度提供了更准确和更具适应性的方法.
- 这项研究有助于用户在选择云服务时做出明智的决定.
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