Identifying and localizing network problems using the PuNDIT project
Identifying and localizing network problems using the PuNDIT project
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使用 PuNDIT 项目识别和定位网络问题
DOI：
10.1088/1742-6596/664/5/052027
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
S. McKee
中科院分区：
文献类型：
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作者：
Jorge Batista;C. Dovrolis;Danny H. Lee;S. McKee
在当今科学家分布式协作的世界中，提供有效的基础设施来将这些科学家群体与他们共享的计算和存储资源耦合在一起存在许多挑战。Pythia网络诊断基础设施（PuNDIT[1]）项目集成和扩展研究工具，并创建适合操作需求的健壮代码，以解决自动化检测和定位网络问题的困难挑战。PuNDIT基于部署在开放科学网格（OSG）[3]和全球LHC计算网格（WLCG）[4]中的事实标准perfSONAR[2]网络测量基础设施，收集和分析复杂的现实世界网络拓扑及其相应的网络指标，从一组症状中识别网络问题的可能特征。PuNDIT团队正与来自ESnet和Internet2的perfSONAR开发人员密切合作，将PuNDIT组件集成到perfSONAR工具包中。PuNDIT的主要目标是以自动化的方式将复杂的网络指标转换为易于理解的诊断。我们将报告与OSG和WLCG社区合作的项目进展，描述当前的实施情况，包括一些初步结果，并讨论未来的计划和项目时间表。
In today's world of distributed collaborations of scientists, there are many challenges to providing effective infrastructures to couple these groups of scientists with their shared computing and storage resources. The Pythia Network Diagnostic InfrasTructure (PuNDIT[1]) project is integrating and scaling research tools and creating robust code suitable for operational needs addressing the difficult challenge of automating the detection and location of network problems.PuNDIT is building upon the de-facto standard perfSONAR[2] network measurement infrastructure deployed in Open Science Grid(OSG)[3] and the Worldwide LHC Computing Grid(WLCG)[4]to gather and analyze complex real-world network topologies coupled with their corresponding network metrics to identify possible signatures of network problems from a set of symptoms. The PuNDIT Team is working closely with the perfSONAR developers from ESnet and Internet2 to integrate PuNDIT components as part of the perfSONAR Toolkit. A primary goal for PuNDIT is to convert complex network metrics into easily understood diagnoses in an automated way. We will report on the project progress to-date in working with the OSG and WLCG communities, describe the current implementation including some initial results and discuss future plans and the project timeline.