System and method for automatically maintaining a computer system
Patent 5944839 Issued on August 31, 1999. Estimated Expiration Date: 
March 19, 2017. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.
March 19, 2017. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.Patent ReferencesComputer assisted vehicle service featuring signature analysis and artificial intelligence Log file control system in a complex system Automated diagnostic system having temporally coordinated wireless sensors System for uninterruptively displaying only relevant and non-redundant alert message of the highest severity for specific condition associated with group of computers being managed Knowledge processing system employing confidence levels Patent #: 5809493 InventorAssigneeApplicationNo. 820573 filed on 03/19/1997US Classes:714/26, Artificial intelligence (e.g., diagnostic expert system)706/47, Ruled-based reasoning system714/38, Of computer software714/47Performance monitoring for fault avoidanceExaminersPrimary: Le, Dieu-MinhAttorney, Agent or FirmInternational ClassG06F 011/00AbstractA system and method for the automated maintenance of a computer system. A scheduler periodically activates sensors. When activated, the sensors gather information about various aspects of the computer system. The sensors store this information in a knowledge database. The knowledge database also contains cases, questions, and actions. The cases describe potential computer problems and solutions. The questions are used to diagnose the problems while the actions describe steps that can be taken to solve the diagnosed problems. If the information gathered by the sensors indicates a problem with the computer system, then the sensors activate an artificial intelligence engine. The engine uses the information in the knowledge database to evaluate certain cases. If information necessary to evaluate a case is not in the knowledge database, then the engine activates a sensor to gather the information. As the cases are evaluated, the confidence levels of certain other cases, questions, and actions increase. If the confidence level of a case or question rises above a predetermined threshold, then the engine evaluates that case or question. If the confidence level of an action rises above the threshold, then that action represents the likely solution to the problem. Accordingly, the engine activates a sensor to perform the action. If no case, question, or action rises above the threshold, then the knowledge database does not contain enough information to solve the problem. In such a case, the engine saves the state of the computer system and knowledge database. Then, a human expert can update the database with the knowledge necessary to solve the problem.Other References
Field of SearchKNOWLEDGE PROCESSING SYSTEMAnalogical reasoning system Ruled-based reasoning system Knowledge representation and reasoning technique Artificial intelligence (e.g., diagnostic expert system) Of computer software Monitor recognizes sequence of events (e.g., protocol or logic state analyzer) Performance monitoring for fault avoidance Error detection or notification | |
