Abstract: A method, system, and computer program product are disclosed for merging search results. In one embodiment, the method comprises identifying a query, splitting the query into sub-queries, and calculating information content for each of the sub-queries. This method also comprises executing each of the sub-queries to obtain a plurality of search results, and combining the search results based on the information content calculated for the sub-queries. In an embodiment, the execution of each of the sub-queries includes identifying a multitude of search results for at least one of the sub-queries; and the combining includes grouping said multitude of search results into a plurality of clusters, and computing a relevance score for each of said clusters. In the embodiment the combining further includes merging the clusters based on the relevance scores computed for the clusters as well as the information content calculated for the sub-queries.

Abstract: A method for creating a workflow using system administrator actions to resolve a system issue is provided. The method may include assigning a ticket to a category. The method may include capturing a first snapshot of a first system state of a machine before a system administrator begins a corrective action. The method may include capturing a second snapshot of a second system state of the machine after system administrator corrective action. The method may include creating a difference set based on a comparison of the first snapshot and the second snapshot. The method may include generating summaries of administrator action. The method may include dividing the summaries into groups of summaries. The method may include constructing a candidate workflow for each group. The method may include presenting the candidate workflow to a subject matter expert. The method may include storing the reviewed candidate workflow in a repository.

Abstract: A system, a computer readable storage medium, and a method for determining a suggested component restart order in a computer system on a basis of one or more heuristic analyses of a plurality of input data. The method can include performing one or more sort or merge orders after one or more of each heuristic analysis, combining the one or more sort orders according to a weighting algorithm, generating a recovery dependency graph between each of the components of the computer system, and presenting the recovery dependency graph.

Abstract: Embodiments of the present invention provide systems and methods for the discovery of facets. A search query over sets of data (e.g., a set of documents) leads to search results. The search results are organized by facets. Responsive to receiving new queries, facets are dynamically extracted from the search results. Furthermore, user profiles are dynamically updated. The order of presentation of facets, as displayed in a graphical user interface, can be modified based on the extracted facets.

Abstract: Methods, systems, and computer program products for storage system-based replication for disaster recovery in virtualized environments are provided herein.

Abstract: Embodiments of the present invention disclose a method, computer program product, and system for exposing more dissatisfied service requests through survey sample selection. The computer builds a user dissatisfaction model based on a plurality of historical survey results, and a plurality of historical service request information. The plurality of historic service request information includes at least one dissatisfaction metric, wherein the at least one dissatisfaction metric includes a total time spent resolving a problem, a total travel time, a total onsite time, a at least one part used, and/or a plurality of other metrics. The computer determines a probability of dissatisfaction for each of a plurality of service requests. The computer selects a survey sample that includes a plurality of dissatisfied users based on the determined probability of dissatisfaction for each of the plurality of service requests. The computer transmits a survey to each user of the survey sample.

Abstract: For disaster recovery involving a first site and a disaster recovery site, where at least a portion of management service metadata not isolated within the management service, a failover process is initiated, including creating an initial snapshot of the distributed metadata state. In a failback process, a representation is created of state changes for the management service and a delta description is calculated therefrom. The delta description is transmitted to the first site; and a reverse replica is created, at the first site, of all the workload components from the disaster recovery site. The delta description is played back to restore a distributed metadata state that existed in the disaster recovery site and to re-create it in the first site.

Abstract: The methods, systems, and computer program products described herein provide optimized provisioning of replacement parts for service calls through the use of machine learning. In some aspects, historical hardware maintenance tickets may be processed to generate symptoms vectors identifying sets of symptoms associated with the hardware maintenance tickets. The symptoms vectors and corresponding parts usage records of the historical hardware maintenance tickets may be used train a decision model to predict a probability that a particular part will be used to fulfill the new hardware maintenance ticket. The predicted probability may be used by the system when generating a parts provisioning plan for the new hardware maintenance ticket.

Abstract: For disaster recovery involving a first site and a disaster recovery site, where at least a portion of management service metadata not isolated within the management service, a failover process is initiated, including creating an initial snapshot of the distributed metadata state. In a failback process, a representation is created of state changes for the management service and a delta description is calculated therefrom. The delta description is transmitted to the first site; and a reverse replica is created, at the first site, of all the workload components from the disaster recovery site. The delta description is played back to restore a distributed metadata state that existed in the disaster recovery site and to re-create it in the first site.

Abstract: During normal operation, at a first site, of a disaster recovery management unit, at least one customer workload machine, at least one management service machine, and metadata for the at least one management service machine are replicated to a remote disaster recovery site. After a disaster at the first site, a replicated version of the at least one customer workload machine and a replicated version of the at least one management service machine are brought up at the remote disaster recovery site. A replicated version of the metadata for the at least one management service machine is reconfigured by executing, on the replicated version of the at least one management service machine, a failover script, to obtain reconfigured replicated metadata for the replicated version of the at least one management service machine. When the first site comes back up, failback is carried out, essentially in the reverse order.

Abstract: Embodiments of the present invention provide systems and methods for the discovery of facets. A search query over sets of data (e.g., a set of documents) leads to search results. The search results are organized by facets. Responsive to receiving new queries, facets are dynamically extracted from the search results. Furthermore, user profiles are dynamically updated. The order of presentation of facets, as displayed in a graphical user interface, can be modified based on the extracted facets.

Abstract: Embodiments of the present invention provide systems and methods for the discovery of facets. A search query over sets of data (e.g., a set of documents) leads to search results. The search results are organized by facets. Responsive to receiving new queries, facets are dynamically extracted from the search results. Furthermore, user profiles are dynamically updated. The order of presentation of facets, as displayed in a graphical user interface, can be modified based on the extracted facets.

Abstract: A base query having a plurality of base query terms is obtained. A plurality of problem log files are accessed. Words, contained in a corpus vocabulary, are extracted from the plurality of problem log files. Based on the words extracted from the plurality of problem log files, a first expanded query is generated from the base query. The corpus is queried, via a query engine and a corpus index, with a second expanded query related to the first expanded query.

Abstract: One embodiment provides a method, including: utilizing at least one processor to execute computer code that performs the steps of: identifying a new product launch having a predetermined time frame; identifying at least one existing maintenance contract expiring within the predetermined time frame; generating at least one machine learning model, wherein the at least one machine learning model identifies influence of the new product launch on an existing contract; determining, using the at least one machine learning model, impact of the new product launch on revenue received from the at least one existing maintenance contract; and providing a recommendation to a user, wherein the recommendation identifies prioritization of the at least one existing maintenance contract with respect to other actions based upon the new product launch. Other aspects are described and claimed.

Abstract: Methods, systems, and computer program products for black box techniques for detecting performance and availability issues in virtual machines exploiting hardware assisted virtualization are provided herein. A computer-implemented method includes capturing multiple hardware assisted virtualization exit calls generated in connection with a given virtual machine; calculating one or more virtual machine performance metrics attributed to the given virtual machine based on the multiple hardware assisted virtualization exit calls; determining one or more virtual machine performance issues and/or one or more virtual machine availability issues attributed to the given virtual machine based on the one or more calculated virtual machine performance metrics; and outputting an alert identifying the one or more determined virtual machine performance issues and/or the one or more virtual machine availability issues attributed to the given virtual machine.

Abstract: A base query having a plurality of base query terms is obtained. A plurality of problem log files are accessed. Words, contained in a corpus vocabulary, are extracted from the plurality of problem log files. Based on the words extracted from the plurality of problem log files, a first expanded query is generated from the base query. The corpus is queried, via a query engine and a corpus index, with a second expanded query related to the first expanded query.

Abstract: The methods, systems, and computer program products described herein provide optimized provisioning of replacement parts for service calls through the use of machine learning. In some aspects, historical hardware maintenance tickets may be processed to generate symptoms vectors identifying sets of symptoms associated with the hardware maintenance tickets. The symptoms vectors and corresponding parts usage records of the historical hardware maintenance tickets may be used train a decision model to predict a probability that a particular part will be used to fulfill the new hardware maintenance ticket. The predicted probability may be used by the system when generating a parts provisioning plan for the new hardware maintenance ticket.

Abstract: Automatic teller machine network management control system executes a deterministic optimization process based on a deterministic forecasted withdrawal demand to determine a cash refill amount, and executes a stochastic simulation process to determine an overall automatic teller machine network management cost based on a stochastic forecasted withdrawal demand and the cash refill amount. The executing of the deterministic optimization process and the executing of the stochastic simulation process are iterated based on updated scaling parameter from the stochastic simulation process and the cash refill amount determined by the deterministic optimization process at current iteration until a termination threshold is met.

Abstract: Determining which snapshot deltas tend to occur in: (i) healthy virtual machines (VMs) that have been subject to an attack yet remained healthy, and/or (ii) unhealthy VMs that have apparently been adversely affected by an attack. Snapshot deltas that occur in at least some (or more preferably all) of the healthy VM subset provide information about software changes (for example, updates, configuration changes) that may be helpful. Snapshot deltas that occur in at least some (or more preferably all) of the unhealthy VM subsets provide information about software changes (for example, updates, configuration changes) that may be unhelpful.

Abstract: Methods, systems, and computer program products for applying entity search techniques to expedite entitlement resolution in support services are provided herein. A computer-implemented method includes automatically processing multiple distributed data sources to identify data sources to be used in entitlement queries, identify data elements within each of the data sources, and implement search-enhancing features across the data sources; automatically searching the collection, in response to an entitlement query failure due to incorrect and/or missing data object values in a set of data object values input for the entitlement query, to identify alternate sets of values; applying a scoring algorithm to each of the alternate sets of values to generate a score that quantifies an amount of matching between each of the alternate sets and the set of data object values input in connection with the entitlement query; and outputting the alternate sets of values having the highest scores.