神经网络在服务故障根本原因预测中的应用

2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM) Pub Date : 2017-05-08 DOI:10.23919/INM.2017.7987422

R. Harper, P. Tee

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引用次数: 4

摘要

监视计算和通信基础设施的主要目标是最小化影响服务的事件的平均解决时间。实现这一目标的关键是确定向操作员提供的众多警报中哪些可能是事件的根本原因。反过来，这对于确定应该以最高优先级调查哪些警报至关重要。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The application of Neural Networks to predicting the root cause of service failures

The principal objective when monitoring compute and communications infrastructure is to minimize the Mean Time To Resolution of service-impacting incidents. Key to achieving that goal is determining which of the many alerts that are presented to an operator are likely to be the root cause of an incident. In turn this is critical in identifying which alerts should be investigated with the highest priority.

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2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)

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