HYBRID EVENT PREDICTION AND SYSTEM CONTROL
First Claim
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.
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Abstract
A system for predicting an occurrence of a critical even in a computer cluster includes: a control system that includes an event log, a system parameter log, a memory for storing information related to occurrences of critical events, and a processor. The processor implements a hybrid prediction system; loads the information from the event log and the system performance log into a Bayesian network model; uses the Bayesian network model to predict a future critical event; makes future scheduling and current data migration selections; and adapts the Bayesian network model by feeding the scheduling and data migration selections.
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Citations
20 Claims
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1. An information processing system for predicting an occurrence of a critical event in a computer cluster, the information processing system comprising:
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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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A computer readable storage medium comprising program instructions for:
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implementing a hybrid prediction system comprising rule based prediction algorithms, time-dependent variable prediction algorithms, and a warning window for a computer cluster comprising a series of nodes, said hybrid prediction system carrying out instructions for; for only those nodes in which an error has occurred, loading the information from 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; for only those nodes in which an error has occurred, loading system performance information pertaining to said error-prone nodes from a system parameter log comprising information concerning system performance parameters for each node in the cluster into a Bayesian network model representing a correspondence between the system performance parameters and occurrence of the critical events; using the Bayesian network model to predict a future critical event within a specified time-limit based upon the hybrid prediction system; and storing information related to said occurrence of said critical events and said system parameters of said nodes. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20)
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Specification