首页> 外国专利> Systems and methods for using machine learning techniques to remediate network conditions

Systems and methods for using machine learning techniques to remediate network conditions

机译:使用机器学习技术来修复网络条件的系统和方法

摘要

A system described herein may use automated techniques, such as machine learning techniques, to identify network events (e.g., based on user-submitted reports and/or system-generated alerts). The system may identify a type and/or attributes of the network event, and may identify past network events that share the same or similar attributes. An estimated time to remediate the network event, and/or one or more remedial measures, may be determined and implemented based on remediation measures taken to remediate the past network events. The determined remedial measures may include one or more temporary remedial measures effected until a permanent solution is put into place. Users who are affected, or who are likely to be affected, may be contacted to indicate the estimated remediation time. Feedback may be used to refine the estimation and/or remediation for future similar network events.
机译:这里描述的系统可以使用诸如机器学习技术的自动化技术来识别网络事件(例如,基于用户提交的报告和/或系统生成的警报)。系统可以标识网络事件的类型和/或属性,并且可以识别共享相同或相似属性的过去的网络事件。可以基于所采取的修复措施来确定和实现来修复网络事件和/或一个或多个补救措施的估计时间,并基于用于修复过去的网络事件的修复措施。确定的补救措施可包括在将永久性溶液到位之前进行的一种或多种临时补救措施。受影响的用户或可能受到影响的人可以联系,以表明估计的修复时间。反馈可用于优化未来类似网络事件的估计和/或修复。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号