摘要
通过建立合理的模型对弹性进行评估和量化,可对未来预测和决策具有较大帮助。文中主要通过设定一些服务属性指标,计算出相应的性能得分,在一组性能得分基础上推出单个服务的自适应得分和服务状态。并结合马尔科夫网络模型及弹性函数方程,评估整个网络的弹性。文中不仅考虑了单个服务的状态,且结合了服务之间的相互依赖关系。在日后的网络弹性度量方面,为状态阈值的设定和故障的快速查找提供了参考。
The establishment of a reasonable model to evaluate and quantify the elasticity offers great help in fu-ture forecast and decision. In this paper, a number of service attribute indexes are sett, the corresponding perform-ance score calculated introduced, and the adaptive score and the service state of a single service given based on a setof performance scores. And finally combined with the Markov network model and elastic function equations, thewhole network resilience is evaluated. This paper considers not only the single service condition, but also the mutualdependencies between services. It is of referential value in the future network elasticity measurement, fast search forfault, and state threshold setting.
出处
《电子科技》
2015年第3期65-68,共4页
Electronic Science and Technology
关键词
网络弹性
可靠性评估
量化模型
network elasticity
reliability evaluation
quantitative model