The invention discloses a
server relevant failure prediction method. The method comprises steps as follows: a
failure type is determined after a failure happens to a
server; a failure relevant to the failure is acquired from a relevant failure set obtained in advance according to an
Apriori algorithm and taken as a follow-up prediction failure; a worker performs corresponding compensation operation according to the follow-up prediction failure. After the failure happens to the
server, possible follow-up failure types are predicted according to the relevance of the failure types in the relevant failure set, so that the worker can perform certain compensation operation in advance, the follow-up failure is avoided in time, influence on the server is reduced as far as possible after the follow-up failure happens, and the RAS (
remote access service) performance of the server is improved. The invention further discloses a server relevant failure
prediction system. The
system also has the advantages, and unnecessary details are not described here anymore.