1. An information processing system for predicting an occurrence of a critical event in a computer cluster, the information processing system comprising: the computer cluster comprising a series of nodes; a control system comprising: A) an event log comprising information concerning critical events that occur in the computer cluster, wherein said critical events adversely affect performance of the cluster or one of its nodes; B) a system parameter log comprising information concerning system performance parameters for each node in the cluster; C) a processor configured for: i) implementing a hybrid prediction system comprising rule based prediction algorithms, time-dependent variable prediction algorithms, and a warning window; ii) maintaining the event log for only those nodes in which an error has occurred; iii) maintaining the system parameter log for each node in the cluster; iv) for only those nodes in which an error has occurred, loading the information from the event log and the system performance information pertaining to said error-prone nodes from the system parameter log into a Bayesian network model representing a correspondence between the system performance parameters and occurrence of the critical events; v) using the Bayesian network model to predict a future critical event within a specified time-limit based upon the hybrid prediction system; vi) making future scheduling and current data migration selections based upon the hybrid prediction system; and vii) adapting the Bayesian Network Model by feeding the scheduling and data migration selections into said Bayesian Network Model; and D) a memory for storing information related to said occurrence of said critical events and said system parameters of said nodes.