Abstract: A method of ranking workers for an incoming task includes recording a list of completed tasks in a computer data structure, extracting first attributes from the list for the tasks that were completed during a pre-determined period, generating a first feature vector for each task and worker from the first extracted attributes, training a Support Vector Machine (SVM) based on the feature vector to output a weight vector, extracting second attributes from an incoming task, generating a second feature vector for each worker based on the second extracted attributes, and ranking the workers using the second feature vectors and the weight vector. The first attributes may be updated during a subsequent period to re-train the SVM on updated first feature vectors to generate an updated weight vector. The workers may be re-ranked based on the second feature vectors and the updated weight vector. Accordingly, the feature vectors are dynamic.

Abstract: A method of ranking workers for an incoming task includes recording a list of completed tasks in a computer data structure, extracting first attributes from the list for the tasks that were completed during a pre-determined period, generating a first feature vector for each task and worker from the first extracted attributes, training a Support Vector Machine (SVM) based on the feature vector to output a weight vector, extracting second attributes from an incoming task, generating a second feature vector for each worker based on the second extracted attributes, and ranking the workers using the second feature vectors and the weight vector. The first attributes may be updated during a subsequent period to re-train the SVM on updated first feature vectors to generate an updated weight vector. The workers may be re-ranked based on the second feature vectors and the updated weight vector. Accordingly, the feature vectors are dynamic.

Abstract: A method of ranking workers for an incoming task includes recording a list of completed tasks in a computer data structure, extracting first attributes from the list for the tasks that were completed during a pre-determined period, generating a first feature vector for each task and worker from the first extracted attributes, training a Support Vector Machine (SVM) based on the feature vector to output a weight vector, extracting second attributes from an incoming task, generating a second feature vector for each worker based on the second extracted attributes, and ranking the workers using the second feature vectors and the weight vector. The first attributes may be updated during a subsequent period to re-train the SVM on updated first feature vectors to generate an updated weight vector. The workers may be re-ranked based on the second feature vectors and the updated weight vector. Accordingly, the feature vectors are dynamic.

Abstract: A method for auditing and verifying configuration items (CIs) in an information technology (IT) configuration management database (CMDB) includes identifying which configuration item (CI) types should be part of an audit, defining link rules to link an authorized CI type stored in a CMDB to an actual CI type that is part of an IT infrastructure, retrieving all authorized CI instances of the identified CI types from the CMDB, retrieving all actual CI instances of the identified CI types from a discovery upload of a current IT environment, comparing the actual CI instances to the authorized CI instances, and taking remedial action when variances are discovered.

Abstract: A system, method and apparatus for performing information transformations on an information stream composed of configuration items (CIs) for improving data quality and extending the capabilities of a configuration management database (CMDB). In one embodiment the data transformations ensure that a CMDB can be used to manage environments that use Network Address Translation by the modification of the signatures of analyzed CIs so that the resulting set of CIs is unique. The modification is applied to augment the signature with a domain specific prefix so that, when loaded into the enterprise wide CMDB, a CI is uniquely identified.

Abstract: A method of recommending an assignment for a work order includes receiving the work order, retrieving information from the work order, identifying a skill set needed to complete the work order using the information retrieved from the work order, extracting, automatically, a first set of evidences from a first data source based on the identified skill set, and a second set of evidences from a second data source based on the identified skill set, combining a first inference and a second inference, by a processor, wherein the first inference is determined using the first set of evidences, the second inference is determined using the second set of evidences, and the first and second set of evidences comprise dissimilar data, and generating a work order assignment recommendation based on the combined inferences.

Abstract: A method of ranking workers for an incoming task includes recording a list of completed tasks in a computer data structure, extracting first attributes from the list for the tasks that were completed during a pre-determined period, generating a first feature vector for each task and worker from the first extracted attributes, training a Support Vector Machine (SVM) based on the feature vector to output a weight vector, extracting second attributes from an incoming task, generating a second feature vector for each worker based on the second extracted attributes, and ranking the workers using the second feature vectors and the weight vector. The first attributes may be updated during a subsequent period to re-train the SVM on updated first feature vectors to generate an updated weight vector. The workers may be re-ranked based on the second feature vectors and the updated weight vector. Accordingly, the feature vectors are dynamic.

Abstract: A system, method and apparatus for performing information transformations on an information stream composed of configuration items (CIs) for improving data quality and extending the capabilities of a configuration management database (CMDB). In one embodiment the data transformations ensure that a CMDB can be used to manage environments that use Network Address Translation by the modification of the signatures of analyzed CIs so that the resulting set of CIs is unique. The modification is applied to augment the signature with a domain specific prefix so that, when loaded into the enterprise wide CMDB, a CI is uniquely identified.

Abstract: A method for auditing and verifying configuration items (CIs) in an information technology (IT) configuration management database (CMDB) includes identifying which configuration item (CI) types should be part of an audit, defining link rules to link an authorized CI type stored in a CMDB to an actual CI type that is part of an IT infrastructure, retrieving all authorized CI instances of the identified CI types from the CMDB, retrieving all actual CI instances of the identified CI types from a discovery upload of a current IT environment, comparing the actual CI instances to the authorized CI instances, and taking remedial action when variances are discovered.

Abstract: A method for facilitating compliance testing in an information technology (IT) environment is provided. The method includes defining each IT component of an enterprise as a set of attribute value pairs represented as a configuration item (CI) and defining relationships among the CIs. Configuration Standards for the CIs are defined to include scope identifying CIs to which the Configuration Standards apply and restrictions defining requirements for compliance. Compliance testing is performed for IT components of the enterprise against a selected Configuration Standards by determining, depending on the scope and the restrictions of each of the selected Configuration Standards, which of the IT components within the scope of the selected Configuration Standards fails to meet the restrictions of respective ones of the selected Configuration Standards; and by outputting results as a list, which includes each of the IT components that failed to meet respective ones of the selected Configuration Standards.

Abstract: A method for facilitating compliance testing in an environment is provided. The method includes defining each component as a set of attribute value pairs represented as a configuration item (CI) and defining relationships among the CIs. Configuration Standards for the CIs are defined to include scope identifying CIs to which the Configuration Standards apply and restrictions defining requirements for compliance. Compliance testing is performed for components against a selected Configuration Standards by determining, depending on the scope and the restrictions of each of the selected Configuration Standards, which of the components within the scope of the selected Configuration Standards fails to meet the restrictions of respective ones of the selected Configuration Standards; and by outputting results as a list, which includes each of the components that failed to meet respective ones of the selected Configuration Standards.

Abstract: An off-line knowledge acquisition process takes IT resource messages, in CBE format generated natively or using generic log adapter, and use a variety of mining techniques and technologies to automatically generate a set of rules used to provide situation categories for the resource messages/events. The off-line knowledge acquisition process also generates an event-to-situation mapping file for efficiently mapping situation to events in runtime. Rules are fed back into a knowledge repository and process for reuse. The off-line knowledge acquisition process also provides methods to reiterate the process of mining (autonomically and/or by human interaction) to improve the rules and confidence level assigning the situation categories. A runtime categorizer component uses the event-to-situation mapping file, when available from the off-line knowledge acquisition process, to add situation categories to the IT resource events.