Abstract: An aspect of providing job assignment optimization includes creating a feature vector from features extracted from a new job request. Each of the features is associated with a constraint on minimum requirements with respect to a level of experience of a potential candidate. An aspect further includes creating a feature vector for each employee that includes skills attributed to the employee and instances that each of the skills have been completed, searching feature vectors generated from the employee database for the minimum requirements indicated in the new job request feature vector, searching the feature vectors of the database for the minimum requirements indicated by constraints associated with the new job request, modeling aggregate utility of past experience of employees as a weighted sum of applied utility functions, and generating a score indicating a difference between a potential post assignment and a pre-assignment utility. An aspect also includes outputting qualified candidates.

Abstract: A system is provided for inferring sensor topology in a structure. The system includes a receiver, a server communicatively coupled to the receiver and a sensor topology engine communicatively coupled to the receiver and the server. The receiver is configured to receive identification information that sensors have been and deployed throughout the structure to sense a presence of an operator and to receive sensor readings from the sensors and couple the sensor readings to the sensor topology engine. The sensor topology engine is further configured analyze the identification information and the sensor readings to infer zones of the multiple spaces in which the presence of the operator is sensed by at least one of the sensors, borders of each of the zones, and dead zones adjacent to one or more of the zones in which the presence of the operator is not sensed and build a topological graph.

Abstract: A system for determining asset configuration in a service delivery environment, comprises a simulation module developing a simulation model reflecting features of the service delivery environment, a search module using the simulation model and constraint data to determine a plurality of asset configurations for evaluation, a first evaluation module determining a value of each of the asset configurations, and determining the asset configuration of the plurality of asset configurations that yields a value meeting a predetermined objective, and a second evaluation module determining a deviation from a current configuration that would be caused by each of the asset configurations, and determining the asset configuration that yields a lowest deviation of the plurality of asset configurations, wherein the second evaluation module uses the value meeting the predetermined objective from the first evaluation module as a constraint when determining the asset configuration that yields the lowest deviation.

Abstract: A system for determining asset configuration in a service delivery environment, comprises a simulation module developing a simulation model reflecting features of the service delivery environment, a search module using the simulation model and constraint data to determine a plurality of asset configurations for evaluation, a first evaluation module determining a value of each of the asset configurations, and determining the asset configuration of the plurality of asset configurations that yields a value meeting a predetermined objective, and a second evaluation module determining a deviation from a current configuration that would be caused by each of the asset configurations, and determining the asset configuration that yields a lowest deviation of the plurality of asset configurations, wherein the second evaluation module uses the value meeting the predetermined objective from the first evaluation module as a constraint when determining the asset configuration that yields the lowest deviation.

Abstract: A method of visualizing and interacting with a given term graph for a given group G defined by a set of values d for a set of dimensions D and topic X, may comprise obtaining the term graph associated with the given group G and the topic X; displaying the topic X in a tag cloud; representing each term from the term graph as a tag in the tag cloud, wherein a distance of a given tag from the displayed topic X in the tag cloud represents a distance of a term represented by the given tag from the topic X in the term graph; and visually representing a tag's importance relative to one or more of resources associated with the given group G in the tag cloud.

Abstract: A method of visualizing and interacting with a given term graph for a given group G defined by a set of values d for a set of dimensions D and topic X, may comprise obtaining the term graph associated with the given group G and the topic X; displaying the topic X in a tag cloud; representing each term from the term graph as a tag in the tag cloud, wherein a distance of a given tag from the displayed topic X in the tag cloud represents a distance of a term represented by the given tag from the topic X in the term graph; and visually representing a tag's importance relative to one or more of resources associated with the given group G in the tag cloud.

Abstract: An aspect of providing job assignment optimization includes creating a feature vector from features extracted from a new job request. Each of the features is associated with a constraint on minimum requirements with respect to a level of experience of a potential candidate. An aspect further includes creating a feature vector for each employee that includes skills attributed to the employee and instances that each of the skills have been completed, searching feature vectors generated from the employee database for the minimum requirements indicated in the new job request feature vector, searching the feature vectors of the database for the minimum requirements indicated by constraints associated with the new job request, modeling aggregate utility of past experience of employees as a weighted sum of applied utility functions, and generating a score indicating a difference between a potential post assignment and a pre-assignment utility. An aspect also includes outputting qualified candidates.

Abstract: A computer implemented method delivers information technology services according to a set of service level agreements. A service request class having a largest control error is identified from a plurality of service request classes. The service request priority of the service request class having the largest control error is then increased to form an updated priority. Service requests for the plurality of service request classes are dispatched in a next control iteration based upon the updated priority.

Abstract: Common sub-process patterns in a plurality of deployed process models may be discovered, and performance measures associated with the sub-process patterns may be computed based on runtime events of the deployed process models. Positive or negative performance patterns among sub-process patterns may be identified and used for creating new process models or improving existing process models.

Abstract: An approach is presented for identifying related problem tickets in an information technology (IT) environment. A pattern of actions included in interactions with a computer program is determined to be effective at proactively preventing a problem in the IT environment based on a frequency at which user(s) performed the interactions which perform text and statistical analyses of content of historical problem tickets. A script based on the pattern of actions is generated. A root cause of the problem is determined based on the text and statistical analyses. Responsive to a receipt of a new problem ticket, the script is executed to automatically perform the pattern of actions. The new problem ticket is classified as being in a group of problem tickets which are related to the problem and included in the historical problem tickets. The new problem ticket is determined to specify the problem which has the root cause.

Abstract: Aspects of the present invention provide a tool for retrieving data in response to a query in any format. In an embodiment, each query term of the query is analyzed to determine whether it corresponds to either a domain keyword or a formula designator. If a formula designator is retrieved, each formula term associated with the formula designator is mapped to a domain keyword. Each of the domain keywords, the formula designators, and the mapped formula terms are boosted. A dataset is searched using a structured search query that includes all boosted terms, as well as any remaining query terms that do not correspond to one of the boosted terms.

Abstract: Business processes that may be affected by events, conditions or circumstances that were unforeseen or undefined at modeling time (referred to as unforeseen events) are modeled and/or executed. Responsive to an indication of such an event during process execution, a transfer is performed from the process, in which selected data is stored and the process is terminated. The selected data may then be used by a target process. The target process may be, for instance, a new version of the same process, the same process or a different process. The target process may or may not have existed at the time the process was deployed.

Abstract: An approach is presented for identifying related problem tickets in an information technology (IT) environment. A pattern of actions included in interactions with a computer program is determined to be effective at proactively preventing a problem in the IT environment based on a frequency at which user(s) performed the interactions which perform text and statistical analyses of content of historical problem tickets. A script based on the pattern of actions is generated. A root cause of the problem is determined based on the text and statistical analyses. Responsive to a receipt of a new problem ticket, the script is executed to automatically perform the pattern of actions. The new problem ticket is classified as being in a group of problem tickets which are related to the problem and included in the historical problem tickets. The new problem ticket is determined to specify the problem which has the root cause.

Abstract: An approach is presented for identifying related problem tickets in an information technology (IT) environment. User interactions with a computer program are stored. The user interactions include inputs to the computer program to search for problem tickets issued in the IT environment that have the same characteristics. One or more user interaction patterns within the user interactions are recognized. A user interaction pattern of the one or more user interaction patterns is selected based on an evaluation of effectiveness of each of the one or more user interaction patterns. Based on the user interaction pattern, a rule is generated for determining which problem tickets in the IT environment share a common characteristic. The rule is applied to additional problem tickets issued in the IT environment to identify which of the additional problem tickets share the common characteristic.

Abstract: An approach for modeling a service delivery system is presented. Data from the service delivery system is collected. Discrete event simulation, queueing, and system heuristics models are constructed from the collected data. Based on the constructed models, a first utilization error indicating first variations among measures of utilization of staffing by the service delivery system is determined. Based on the first utilization error, a problem that causes the first variations is determined and in response, adjustments to the models to correct the problem are determined. A second utilization error is determined. The second utilization error indicates second variations among other measures of the utilization of staffing by the service delivery system which are based on the adjustments. Based on the second utilization error, a consistency among the adjusted models is determined, and in response, an initial recommended model of the service delivery system is derived.

Abstract: A system for ensuring timing study quality in a service delivery environment, comprises a participation module capable of determining a level of participation by assets in the timing study, a volume module capable of comparing effort data volume with workload data volume, and a records module capable of analyzing effort data for a duration for each record, wherein one or more of the modules are implemented on a computer system comprising a memory and at least one processor coupled to the memory.

Abstract: A system for ensuring timing study quality in a service delivery environment, comprises a participation module capable of determining a level of participation by assets in the timing study, a volume module capable of comparing effort data volume with workload data volume, and a records module capable of analyzing effort data for a duration for each record, wherein one or more of the modules are implemented on a computer system comprising a memory and at least one processor coupled to the memory.

Abstract: Aspects of the present invention provide a tool for retrieving data in response to a query in any format. In an embodiment, each query term of the query is analyzed to determine whether it corresponds to either a domain keyword or a formula designator. If a formula designator is retrieved, each formula term associated with the formula designator is mapped to a domain keyword. Each of the domain keywords, the formula designators, and the mapped formula terms are boosted. A dataset is searched using a structured search query that includes all boosted terms, as well as any remaining query terms that do not correspond to one of the boosted terms.

Abstract: A method of visualizing and interacting with a given term graph for a given group G defined by a set of values d for a set of dimensions D and topic X, may comprise obtaining the term graph associated with the given group G and the topic X; displaying the topic X in a tag cloud; representing each term from the term graph as a tag in the tag cloud, wherein a distance of a given tag from the displayed topic X in the tag cloud represents a distance of a term represented by the given tag from the topic X in the term graph; and visually representing a tag's importance relative to one or more of resources associated with the given group G in the tag cloud.

Abstract: A term graph for a group (G), where G is defined by a given set of values d for a set of dimensions (D) relative to a topic (X) may be created by retrieving a graph (H) comprising terms related to an entity and associated with topic X; identifying a node (N) that represents topic X in graph H; identifying resources (R) associated with topic X in group G (used or accessed by, or otherwise associated with values d in group (G); compiling a list (L) of terms used in the identified resources (R); and creating, starting from node N, a connected subgraph S representing the term graph, wherein each node in subgraph S represents one of the terms from list L and has a path to node N.