Abstract: Methods, apparatus and computer program products decompose a service process into service process operations; filter the service operations based on at least one pre-determined criterion; identify at least one different service process operation to be used to replace an existing service process operation; and replace the existing service process operation with the at least one different service process operation. The service process can be decomposed using specific service features derived from reference service processes. The pre-determined criterion used to filter the service operations can constitute a service level; a service category; or a service process feature. A service process feature describes core functionality of the service.

Abstract: A document corpus is annotated by given annotators and aggregates of the given annotators to generate a corpus of pre-annotated documents with given annotations. The same document corpus is annotated by a subject annotator to have subject annotations. The subject annotations are decomposed into superpositions of the given annotations. The decomposed subject annotations are mapped to a most representative superposition of the given annotations. The subject annotator may be mapped to the aggregate of given annotators corresponding to the most representative superposition.

Abstract: Embodiments of the present invention address deficiencies of the art in respect to server provisioning in a heterogeneous computing environment and provide a method, system and computer program product for secure and verified distributed orchestration and provisioning. In one embodiment of the invention, a server provisioning method can be provided. The server provisioning method can include establishing grouping criteria, grouping different target computing nodes into different groups of target computing nodes according to the established grouping criteria, server provisioning a root node in each of the different groups of target computing nodes, and relying upon the root node in each of the different groups to peer-to-peer server provision remaining nodes in each of the different groups.

Abstract: A polling method, online polling system and program product therefor. A system avatar unit creates, maintains and controls system avatars distributed throughout a virtual world. System avatars receive questions received from polling system clients. A dialogue module manages dialogs between system avatars presenting the questions to user avatars in the virtual world. A report generator generates reports responsive to responses given by user avatars to system avatars.

Abstract: Evaluating the performance of a text analysis engine is provided. A plurality of pre-annotated reference documents and a set of annotation types associated with the pre-annotated reference documents are received. Annotation contexts of reference annotations in the plurality of pre-annotated reference documents are analyzed using the set of annotation types. Similar annotation contexts are identified between the reference annotations and the set of annotation types. Responsive to identifying the similar annotation contexts, the similar annotation contexts are clustered thereby forming a plurality of reference annotation clusters. A set of reference content heterogeneity scores are computed based on the number of reference annotation clusters for each annotation type in the set of annotation types. An integral reference content rate for the set of annotation types is then computed and output to a user.

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: Web navigation pattern histories are used to navigate to a plurality of visited web sites. A navigation map is generated comprised of a node for each visited web site. Each node in the navigation map is connected by an edge to at least one other node in the navigation map, and the edge is associated with the link from the given visited web site to the next web site. For each visited web site, the corresponding node stores an address for the given web site, a relevance rating for the given visited web site, a link from the given visited web site to a next web site and optionally a title of the web site. A presentation of a node in the navigation map is based on the relevance rating. A plurality of navigation maps for a plurality of users can be merged by identifying navigation maps having similar search goals.

Abstract: Web navigation pattern histories are used to navigate to a plurality of visited web sites. A navigation map is generated comprised of a node for each visited web site. Each node in the navigation map is connected by an edge to at least one other node in the navigation map, and the edge is associated with the link from the given visited web site to the next web site. For each visited web site, the corresponding node stores an address for the given web site, a relevance rating for the given visited web site, a link from the given visited web site to a next web site and optionally a title of the web site. A presentation of a node in the navigation map is based on the relevance rating. A plurality of navigation maps for a plurality of users can be merged by identifying navigation maps having similar search goals.

Abstract: Embodiments of the present invention address deficiencies of the art in respect to server provisioning in a heterogeneous computing environment and provide a method, system and computer program product for secure and verified distributed orchestration and provisioning. In one embodiment of the invention, a server provisioning method can be provided. The server provisioning method can include establishing grouping criteria, grouping different target computing nodes into different groups of target computing nodes according to the established grouping criteria, server provisioning a root node in each of the different groups of target computing nodes, and relying upon the root node in each of the different groups to peer-to-peer server provision remaining nodes in each of the different groups.

Abstract: A method for voice browsing an integrated voice response server is described. The method includes visually displaying a representation of a choice tree for a service, where the service includes an audio menu of available actions. A selection of an action displayed in the representation is received. The method also includes automatically navigating the audio menu in order to initiate the selected action. Apparatus and computer readable media are also described.

Abstract: A data collection method including collecting, by a configuration collector manager, configuration data, including configuration properties, from a plurality of data sources, creating, by a model discovery component, a business application model using the configuration data collected by the configuration collector manager, a collecting, from a business application model analysis user interface, edits and confirmations associated with the business application model, and a analyzing, by a feedback analyzer component, the edits and confirmations associated with the business application model and prioritizing the configuration properties based on the data sources and the edits and confirmations associated with the business application model.

Abstract: Embodiments of the present invention address deficiencies of the art in respect to server provisioning in a heterogeneous computing environment and provide a method, system and computer program product for secure and verified distributed orchestration and provisioning. In one embodiment of the invention, a server provisioning method can be provided. The server provisioning method can include establishing grouping criteria, grouping different target computing nodes into different groups of target computing nodes according to the established grouping criteria, server provisioning a root node in each of the different groups of target computing nodes, and relying upon the root node in each of the different groups to peer-to-peer server provision remaining nodes in each of the different groups.

Abstract: A method for comparing systems includes running, simultaneously, a first system and a second system, wherein the first system and the second system process events, collecting first data from the first system based on the processing of the events, collecting second data from the second system based on the processing of the events, wherein the second system includes at least one feature different than the first system, and performing a sequential probability ratio test based on the first data and the second data.

Abstract: A system and method for reducing service latency includes dividing an information technology service for a customer into an infrastructure management service and a data management service. Data associated with the information technology service is stored in a backup memory. A set of infrastructure images related to the information technology service is stored at a cloud service provider. The infrastructure images are updated with software updates and hardware updates, as needed, and the data associated with the information technology service is updated through backup and restore mechanisms. The set of infrastructure images that have been updated with data with latest updates are started for recovery, continuity, testing, etc.

Abstract: A method for predicting an impact of a service level agreement including collecting workload data and effort data and constructing a cost model for the service level agreement, defining a baseline service parameter corresponding to the code model of the service level agreement, and calibrating the cost model of the service level agreement, by calibrating a workload volume from the workload data and an effort time from the effort data to match the baseline service parameter, to output a service level agreement impact model.

Abstract: A system and method for reducing service latency includes dividing an information technology service for a customer into an infrastructure management service and a data management service. Data associated with the information technology service is stored in a backup memory. A set of infrastructure images related to the information technology service is stored at a cloud service provider. The infrastructure images are updated with software updates and hardware updates, as needed, and the data associated with the information technology service is updated through backup and restore mechanisms. The set of infrastructure images that have been updated with data with latest updates are started for recovery, continuity, testing, etc.

Abstract: In an environment wherein a front end system receives a service request, and a back end system responds to the request, a user of a target endpoint must be authenticated. A ticket ID is assigned to the service request, and responsive to an initiating action of the user, a virtual token is generated that has a specified relationship with the ticket ID. The virtual token is delivered to the user, and the user is prompted to present the token to a validating component associated with one of the front end or back end systems, wherein the validating component is configured to verify the token validity. If the token is found to be valid, the user is authenticated to access the specified target endpoint.

Abstract: In an environment wherein a front end system receives a service request, and a back end system responds to the request, a user of a target endpoint must be authenticated. A ticket ID is assigned to the service request, and responsive to an initiating action of the user, a virtual token is generated that has a specified relationship with the ticket ID. The virtual token is delivered to the user, and the user is prompted to present the token to a validating component associated with one of the front end or back end systems, wherein the validating component is configured to verify the token validity. If the token is found to be valid, the user is authenticated to access the specified target endpoint.

Abstract: Mechanisms are provided for comparing the performance of applications. An application log record associated with a first application is identified. Mappings between the application logs and underlying log record of environments are made for both the source and the target environments. Performance measurements are made based on both the application logs in the source and target environments are made and compared to each other by way of the mappings. A result of the comparison is output to thereby compare performance of the first application in the source environment with performance of a second application in the target environment.

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.