Event correlation based trouble ticket resolution system incorporating adaptive rules optimization

作者: Vladimir Shcherbina , Eugeniusz Walach

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摘要: A system and method for event correlation adaptive rules optimization in the context of a trouble ticket resolution system. The optimizer incorporates learning principles that achieve high degree automation while leaving control hands an operator. To mitigate effects possible errors, switches from hard decisions to soft decisions. tickets queue their related events are prioritized mimic best practices introduced by support team handling given problem, take into account business impact so at each point time operator's work provides maximum overall benefit provide all auxiliary information may be instrumental problem process.

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