论文标题

部分可观测时空混沌系统的无模型预测

Partially Trusting the Service Mesh Control Plane

论文作者

Adam, Constantin, Adebayo, Abdulhamid, Franke, Hubertus, Snible, Edward, Feldman-Fitzthum, Tobin, Cadden, James, Jean-Louis, Nerla

论文摘要

储层计算是预测湍流的有力工具,其简单的架构具有处理大型系统的计算效率。然而,其实现通常需要完整的状态向量测量和系统非线性知识。我们使用非线性投影函数将系统测量扩展到高维空间,然后将其输入到储层中以获得预测。我们展示了这种储层计算网络在时空混沌系统上的应用,该系统模拟了湍流的若干特征。我们表明,使用径向基函数作为非线性投影器,即使只有部分观测并且不知道控制方程,也能稳健地捕捉复杂的系统非线性。最后,我们表明,当测量稀疏、不完整且带有噪声,甚至控制方程变得不准确时,我们的网络仍然可以产生相当准确的预测,从而为实际湍流系统的无模型预测铺平了道路。

Zero Trust is a novel cybersecurity model that focuses on continually evaluating trust to prevent the initiation and horizontal spreading of attacks. A cloud-native Service Mesh is an example of Zero Trust Architecture that can filter out external threats. However, the Service Mesh does not shield the Application Owner from internal threats, such as a rogue administrator of the cluster where their application is deployed. In this work, we are enhancing the Service Mesh to allow the definition and reinforcement of a Verifiable Configuration that is defined and signed off by the Application Owner. Backed by automated digital signing solutions and confidential computing technologies, the Verifiable Configuration allows changing the trust model of the Service Mesh, from the data plane fully trusting the control plane to partially trusting it. This lets the application benefit from all the functions provided by the Service Mesh (resource discovery, traffic management, mutual authentication, access control, observability), while ensuring that the Cluster Administrator cannot change the state of the application in a way that was not intended by the Application Owner.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源