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: A flash translation layer method, system, and computer program product, include sending a request with a type of feature and a flash characteristic of a translation table for a Solid-State disk, receiving, via a meta-flash translation layer (meta-FTL), the request and checking for a number of free blocks in a NAND chip, and instantiating a range in the NAND chip including the number of free blocks using the meta-FTL to create a compatible range of blocks for the type of feature and the flash characteristic of the translation table if the checking returns a confirmation that the number of free blocks is available.

Abstract: A method includes embedding clothing with at least one sensor and at least one control unit; a power unit powering on the at least one sensor and the at least one control unit; the at least one sensor monitoring a sensed condition; the at least one control unit conducting a heat prediction based on the sensed condition; and the at least one control unit controlling threads within the clothing based on the heat prediction to actively adjust properties of the clothing.

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: A method for diagnosing software crashes includes calculating, using vector space modeling, angles between vectors representing stack-traces from reports in a repository on one or more server computer systems, to define similarities in the reports, wherein reports are deemed similar where angles between their respective vectors are less than a threshold value. The method further includes grouping the reports into similar sets using a maximal cliques process and automatically diagnosing, in response to a received software crash, a first stack-trace extracted from a first report of the received software crash, to determine a potential solution to the received software crash.

Abstract: A method and system are provided. The method includes generating, by a machine-based sentiment prediction generator, respective machine-determined sentiment predictions for each of a plurality of software patches using sentiment analysis. The method further includes setting, by a sentiment-based confidence value generator, a confidence value for each of the plurality of software patches based on the machine-determined sentiment predictions. The method also includes at least one of selecting and prioritizing, by a software patch selector and prioritizer, at least one of the plurality of software patches based on the respective confidence value therefor.

Abstract: A method and system are provided. The method includes generating, by a machine-based sentiment prediction generator, respective machine-determined sentiment predictions for each of a plurality of software patches using sentiment analysis. The method further includes setting, by a sentiment-based confidence value generator, a confidence value for each of the plurality of software patches based on the machine-determined sentiment predictions. The method also includes at least one of selecting and prioritizing, by a software patch selector and prioritizer, at least one of the plurality of software patches based on the respective confidence value therefor.

Abstract: A method for diagnosing software crashes includes retrieving a stack-trace from at least one of a new problem report, updated problem report, and authorized analysis report from a repository. A vector is automatically created from the retrieved stack-trace using the function name and associating the resultant vector with the problem report and authorized analysis reports. Vector space modeling is used to calculate the angles between the resultant vectors to determine similarities. Similar problem reports and authorized analysis reports are grouped into similar sets using a maximal cliques process. New software crashes are automatically diagnosed by extracting the stack-trace from a new problem report of the new software crash, and selecting a potential solution by searching the grouped problem reports and authorized analysis reports for a stack-trace similar to the new stack-trace.

Abstract: A system and method for tuning a solid state disk memory includes computing a metric representing a usage trend of a solid state disk memory. Whether one or more parameters need to be adjusted to provide a change in performance is determined. The parameter is adjusted in accordance with the metric to impact the performance of running workloads. These steps are repeated after an elapsed time interval.

Abstract: A method for diagnosing software crashes includes retrieving a stack-trace from at least one of a new problem report, updated problem report, and authorized analysis report from a repository. A vector is automatically created from the retrieved stack-trace using the function name and associating the resultant vector with the problem report and authorized analysis reports. Vector space modeling is used to calculate the angles between the resultant vectors to determine similarities. Similar problem reports and authorized analysis reports are grouped into similar sets using a maximal cliques process. New software crashes are automatically diagnosed by extracting the stack-trace from a new problem report of the new software crash, and selecting a potential solution by searching the grouped problem reports and authorized analysis reports for a stack-trace similar to the new stack-trace.

Abstract: A system and method for tuning a solid state disk memory includes computing a metric representing a usage trend of a solid state disk memory. Whether one or more parameters need to be adjusted to provide a change in performance is determined. The parameter is adjusted in accordance with the metric to impact the performance of running workloads. These steps are repeated after an elapsed time interval.

Abstract: A system and method for tuning a solid state disk memory includes computing a metric representing a usage trend of a solid state disk memory. Whether one or more parameters need to be adjusted to provide a change in performance is determined. The parameter is adjusted in accordance with the metric to impact the performance of running workloads. These steps are repeated after an elapsed time interval.

Abstract: A system and method for tuning a solid state disk memory includes computing a metric representing a usage trend of a solid state disk memory. Whether one or more parameters need to be adjusted to provide a change in performance is determined. The parameter is adjusted in accordance with the metric to impact the performance of running workloads. These steps are repeated after an elapsed time interval.

Abstract: A system and method for tuning a solid state disk memory includes computing a metric representing a usage trend of a solid state disk memory. Whether one or more parameters need to be adjusted to provide a change in performance is determined. The parameter is adjusted in accordance with the metric to impact the performance of running workloads. These steps are repeated after an elapsed time interval.

Abstract: A method, system, and computer program product are disclosed for automatically determining a valid ordering of provisioning operations, and their needed parameters, so that a provisioning system can configure a desired resource state. This is accomplished by formally describing the pre-conditions and effects of provisioning operations, the current state of managed resources and the desired final state. A planning algorithm is then used to determine the provisioning operations, a valid ordering and appropriate parameters to bring the system from the current state to the desired state.

Abstract: A method, system, and computer program product are disclosed for automatically determining a valid ordering of provisioning operations, and their needed parameters, so that a provisioning system can configure a desired resource state. This is accomplished by formally describing the pre-conditions and effects of provisioning operations, the current state of managed resources and the desired final state. A planning algorithm is then used to determine the provisioning operations, a valid ordering and appropriate parameters to bring the system from the current state to the desired state.