论文标题
分析HPC支持票：经验和建议
Analyzing HPC Support Tickets: Experience and Recommendations
论文作者
论文摘要
高性能计算（HPC）用户支持团队是针对大规模问题的第一道防线，因为它们通常是第一个了解用户报告的问题的人。开发工具以更好地协助支持团队解决用户问题和跟踪问题趋势对于维持系统健康至关重要。我们的工作研究了Los Alamos国家实验室HPC咨询团队的用户支持票务系统，并开发了概念验证工具以自动化诸如类别分配和类似票务建议之类的任务。我们还生成了新类别，用于报告和讨论改善未来票务系统的想法。
High performance computing (HPC) user support teams are the first line of defense against large-scale problems, as they are often the first to learn of problems reported by users. Developing tools to better assist support teams in solving user problems and tracking issue trends is critical for maintaining system health. Our work examines the Los Alamos National Laboratory HPC Consult Team's user support ticketing system and develops proof of concept tools to automate tasks such as category assignment and similar ticket recommendation. We also generate new categories for reporting and discuss ideas to improve future ticketing systems.
