Abstract: A computer implemented method on a computer readable media is provided for determining the source of a problem in a complex system of managed components based upon symptoms. The problem source identification process is split into different activities. Explicit configuration non-specific representations of types of managed components, their problems, symptoms and the relations along which the problems or symptoms propagate are created that can be manipulated by executable computer code. A data structure is produced for determining the source of a problem by combining one or more of the representations based on information of specific instances of managed components in the system. Computer code is then executed which uses the data structure to determine the source of the problem from one or more symptoms.

Abstract: A computer implemented method on a computer readable media is provided for determining the source of a problem in a complex system of managed components based upon symptoms. The problem source identification process is split into different activities. Explicit configuration non-specific representations of types of managed components, their problems, symptoms and the relations along which the problems or symptoms propagate are created that can be manipulated by executable computer code. A data structure is produced for determining the source of a problem by combining one or more of the representations based on information of specific instances of managed components in the system. Computer code is then executed which uses the data structure to determine the source of the problem from one or more symptoms.

Abstract: An apparatus and method is provided for efficiently determining the source of problems in a complex system based on observable events. By splitting the problem identification process into two separate activities of (1) generating efficient codes for problem identification and (2) decoding the problems at runtime, the efficiency of the problem identification process is significantly increased. Various embodiments of the invention contemplate creating a causality matrix which relates observable symptoms to likely problems in the system, reducing the causality matrix into a minimal codebook by eliminating redundant or unnecessary information, monitoring the observable symptoms, and decoding problems by comparing the observable symptoms against the minimal codebook using various best-fit approaches. The minimal codebook also identifies those observable symptoms for which the greatest benefit will be gained if they were monitored as compared to others.

Abstract: A method and apparatus are provided for multi-realm system modeling (MRSM) for dividing systems into components, defining realms containing objects representing system components, optionally defining relationships between the system components, defining associations between realms sufficient to unify objects in the realms when needed, and unifying objects in the realms based on the associations. The realms are defined in a way that enables unified processing for various applications of MRSM.

Abstract: An apparatus and method is provided for efficiently determining the source of problems in a complex system based on observable events. By splitting the problem identification process into two separate activities of (1) generating efficient codes for problem identification and (2) decoding the problems at runtime, the efficiency of the problem identification process is significantly increased. Various embodiments of the invention contemplate creating a causality matrix which relates observable symptoms to likely problems in the system, reducing the causality matrix into a minimal codebook by eliminating redundant or unnecessary information, monitoring the observable symptoms, and decoding problems by comparing the observable symptoms against the minimal codebook using various best-fit approaches. The minimal codebook also identifies those observable symptoms for which the greatest benefit will be gained if they were monitored as compared to others.

Abstract: A computer implemented method is provided for determining the source of a problem in a complex system of managed components based upon symptoms. The problem source identification process is split into different activities. Explicit configuration non-specific representations of types of managed components, their problems, symptoms and the relations along which the problems or symptoms propagate are created that can be manipulated by executable computer code. A data structure is produced for determining the source of a problem by combining one or more of the representations based on information of specific instances of managed components in the system. Computer code is then executed which uses the data structure to determine the source of the problem from one or more symptoms.

Abstract: An apparatus and method is provided for efficiently determining the source of problems in a complex system based on observable events. The problem identification process is split into two separate activities of (1) generating efficient codes for problem identification and (2) decoding the problems at runtime. Various embodiments of the invention contemplate creating a causality matrix which relates observable symptoms to likely problems in the system, reducing the causality matrix into a minimal codebook by eliminating redundant or unnecessary information, monitoring the observable symptoms, and decoding problems by comparing the observable symptoms against the minimal codebook using various best-fit approaches. The minimal codebook also identifies those observable symptoms for which the greatest benefit will be gained if they were monitored as compared to others.

Abstract: An apparatus and method is provided for efficiently determining the source of problems in a complex system based on observable events. The problem identification process is split into two separate activities of (1) generating efficient codes for problem identification and (2) decoding the problems at runtime. Various embodiments of the invention contemplate creating a causality matrix which relates observable symptoms to likely problems in the system, reducing the causality matrix into a minimal codebook by eliminating redundant or unnecessary information, monitoring the observable symptoms, and decoding problems by comparing the observable symptoms against the minimal codebook using various best-fit approaches. The minimal codebook also identifies those observable symptoms for which the greatest benefit will be gained if they were monitored as compared to others.

Abstract: In a distributed system whose state space is partitioned into recovery units, wherein recovery units communicate by the exchange of messages and wherein a message received by a recovery unit may causally depend on other recovery units having received prior messages, a method of recovering from failure of any number of recovery units in the system comprising the steps of: (a) tracking the dependency of each message received by a recovery unit in terms of the causative messages received by other recovery units in the system; and (b) restoring all recovery units to a consistent system-wide state after recovery unit failure by means of the tracked message dependencies.