Fault localization is an imperative method in fault tolerance in a distributed environment that designs a blueprint for continuing the ongoing process even when one or many modules are non-functional. Visualizing a distributed environment as a graph, whose nodes represent faults (fault graph), allows us to introduce probabilistic weights to both edges and nodes that cause the faults. With multiple modules like databases, run-time cloud, etc. making up a distributed environment and extensively, a cloud environment, we aim to address the problem of optimally and accurately performing fault localization in a distributed environment by modifying the Graph optimization approach to localization and centrality, specific to fault graphs.

中文翻译：

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使用中心性度量的云中故障定位

故障定位是分布式环境中容错的一种必不可少的方法，它设计了一个蓝图，即使在一个或多个模块不起作用时也能继续进行中的过程。将分布式环境可视化为一个图，其节点代表故障（故障图），允许我们向导致故障的边和节点引入概率权重。由数据库、运行时云等多个模块组成分布式环境和广泛的云环境，我们旨在通过修改Graph优化定位方法来解决分布式环境中最佳准确地执行故障定位的问题和中心性，特定于故障图。