一种互联网视频调度服务器发现方法与应用

通过对互联网视频资源调度的分析与引导,可有效纠正视频资源调度错误、提高用户访问感知、优化网络架构和提升网络运营效率;通过对主流互联网视频网站调度方式的梳理归纳,得出了现阶段互联网视频领域中的DNS解析、HTTP 302跳转等常用调度方式及其主要特征;通过对上述常用视频调度方式的分析,结合抓包等数据分析工具,建立起调度服务器的自动识别模型,并基于该自动识别模型定制开发构建成调度发现装置;将该调度发现装置部署现网中,对主要视频网站进行测试分析,进一步验证了该发现方法的准确性。     

Conductance of metallic nanoribbons with defects

The conductances of two typical metallic graphene nanoribbons with one and two defects are studied using the tight binding model with the surface Green’s function method. The weak scattering impurities, U ～ 1 eV, induce a dip in the conductance near the Fermi energy for the narrow zigzag graphene nanoribbons. As the impurity scattering strength increases, the conductance behavior at the Fermi energy becomes more complicated and depends on the impurity location, the AA and AB sites. The impurity effect then becomes weak and vanishes with the increase in the width of the zigzag graphene nanoribbons (150 nm). For the narrow armchair graphene nanoribbons, the conductance at the Fermi energy is suppressed by the impurities and becomes zero with the increase in impurity scattering strength, U > 100 eV, for two impurities at the AA sites, but becomes constant for the two impurities at the AB sites. As the width of the graphene nanoribbons increases, the impurity effect on the conductance at the Fermi energy depends sensitively on the vacancy location at the AA or AB sites.