International Business Machines Corporation

Hcl Technologies Italy S.p.a

Stefano Sidoti

Luigi Pichetti

Marco Secchi

Nicola Milanese

Sandro Piccinini

Mauro Arcese

Fabio De Angelis

Andrea Napoleoni

Luca Balestrazzi

Andrea Tortosa

Giuseppe Ciano

Francesco Lecciso

Giancarlo Carbone

Valerio Bellizia

Luisa Attanasio

Marco Imperia

Marco Mattia

Michele D'Urso

Alessandro Donatelli

Bernardo Pastorelli

Arcangelo Di Balsamo

Cristina Bonanni

Fabio Benedetti

Leonardo Rosati

Filomena Ferrara

Marco De Santis

Barbara Febonio

Alberto Ginestroni

Genoveffa Nacchia

Antonio Perrone

Rosario Gangemi

Gianluca Bernardini

Agostino Sturaro

Catia Mecozzi

Andrea Sacco

Method and system for correlating multiple device entries within a domain is disclosed. The method may include receiving a first correlation key comprising a set of device properties associated with a first device from a first plugin. The method may further include comparing the first correlation key with each of a plurality of second correlation keys stored in a device database. The method may further include determining whether a second correlation key from the plurality of second correlation keys in the device database corresponds to the first device, based on the comparing. The method may further include selectively correlating the first device with a second device from the plurality of second devices mapped to the second correlation key in the device database, based on the determining.

Method and system for correlating multiple device entries within domain

A computer-implemented method for providing a modification history of digital information associated with a project is disclosed. A local agent runs at a computing entity at least temporarily associated with a user. A list of recognition tags is provided. A determination is made by the local agent whether digital information is associated with a project based on the list of recognition tags in order to establish project-relevant information. One or more additional recognition tags are automatically extracted out of the project-relevant information. The one or more additional recognition tags are added to the list of recognition tags. The project-relevant information or information derived from the project-relevant information is stored in a data repository. Modification history information is created regarding the project-relevant information.

Managing project resources

A method, system, apparatus, and a computer program product are provided for optimizing database query plans generated from a received database query at a database management system by monitoring a global cost estimation function for one or more steps of the received database query to identify a first low-performing cost metric and collaboratively optimizing a query plan for the database query by comparing differences between the first low-performing cost metric and a second cost metric at an additional database management system, thereby generating an optimized query plan for the database management system that may be stored at the database management system along with corresponding information identifying a reason for rewriting the optimized query plan.

Method and system for collaborative and dynamic query optimization in a DBMS network

A method and system for generating Key Performance Indicators (KPIs) for a software based on debugging information is disclosed. In some embodiments, the method includes creating a mapping of each of a plurality of lines in a log of the software to at least one issue Identifier (ID) from a set of issue IDs. The method further includes generating a mapping database consisting of the logs along with their predicted issued ID based on the aforementioned mapping. The method further includes identifying, for each of the set of issue IDs, a set of mapped sentences based on a set of mapped lines. The method further includes generating, for each of the set of issue IDs, a KPI based on the associated set of mapped sentences and the associated set of mapped lines.

Method and system for generating key performance indicators (KPIs) for software based on debugging information

A computer-implemented system and program product for providing a modification history of digital information associated with a project is disclosed. A local agent runs at a computing entity at least temporarily associated with a user. A list of recognition tags is provided. A determination is made by the local agent whether digital information is associated with a project based on the list of recognition tags in order to establish project-relevant information. One or more additional recognition tags are automatically extracted out of the project-relevant information. The one or more additional recognition tags are added to the list of recognition tags. The project-relevant information or information derived from the project-relevant information is stored in a data repository. Modification history information is created regarding the project-relevant information.

A solution is proposed for managing a database, which comprises one or more data units stored in one or more of a plurality of computing machines. A corresponding method comprises monitoring one or more machine parameters relating to operation of each computing machine over time, monitoring one or more unit parameters relating to operation of each data unit on the corresponding computing machine over time, detecting a relocation condition corresponding to a missing fulfillment of one or more targets according to the monitored unit parameters, and determining a proposed relocation of the data units in the computing machines removing the missing fulfillment of the targets according to the monitored unit parameters and the monitored machine parameters for use in relocating the data units accordingly.

Management of a database with relocation of data units thereof

Transferring files between computer nodes located on different networks is provided. A path for transferring a file to a target node located on a different network is determined. The path includes an address of the target node and a set of one or more addresses of intermediate network bridge nodes connecting the different networks. At least one command to be executed to transfer the file to a specific node present in the path is determined. A file transfer command record is generated. The file transfer command record includes the path and the at least one command to be executed to transfer the file to the specific node present in the path.

Transferring files between computer nodes on different networks

A method is provided for managing memory allocation in a database. The method determines a preferred statement among defined statements with defined sizes of objects. The defined statements include (i) a stored statement defined to allocate the objects and stored in the database wherein each of the objects have a stored size, and (ii) alternative stored statements that provide an alternative of the stored statement defined to allocate the objects with alternative sizes lower than stored sizes. The preferred statement has defined sizes compliant to actual sizes according to preference criterion. The method invokes the preferred statement for execution in place of the stored statement when different. The method stores a new statement, having new sizes compliant to actual sizes according to alternate criterion, responsive to unfulfilling a condition based on comparing defined sizes of the preferred statement with actual sizes.

Dynamic management of memory allocation in a database

A diagnosis server for collaborating with electronic noses, a related mobile diagnosis unit and a related method may be provided. A diagnosis server may comprise a receiver unit for receiving a set of data from one out of a plurality of e-noses. The set of data may comprise a sensor identifier, a sensor output value, and a relevance flag for a predefined diagnosis. A determination unit may determine a probability factor for the predefined diagnosis based on the set of data, a relevance function and a distribution function.

Collaborative electronic nose management in personal devices

An example operation may include one or more of receiving a plurality of local audio files from a plurality of audio devices that participated in a teleconference, where each local audio file includes a locally captured audio recording of a user of a respective audio device during the teleconference, generating combined audio playback information for the teleconference based on the plurality of local audio files received from the plurality of audio devices, the generating including detecting audio portions within the plurality of local audio files and synchronizing a playing order of the detected audio portions based on timing information included in the plurality of local audio files, and transmitting the combined audio playback information of the teleconference to at least one audio device among the plurality of audio devices.

Teleconference recording management system

A method for determining a performance trend of a software application based on performance indicators of the software application. The method receives corresponding access requests from the client computing machines from a user interface framework of the software application that includes at least one command for submitting corresponding operation requests, and estimates corresponding expected response times of the software application for serving the operation requests in response to the access requests. The expected response time of each of the operation requests is estimated according to a comparison of the operative conditions that correspond to the operation request with the performance trend. The method transmits corresponding performance artifacts that are based on the expected response times associated with the user interface framework, to the client computing machines that cause the client computing machines to provide corresponding warnings.

User interface with expected response times of commands

A method and system. One or more local parameters are collected from one or more corresponding endpoints. Each policy of one or more policies includes an indication of one or more activities for execution on the corresponding endpoints. At least one of the activities of the policies is conditioned by a condition based on one or more aggregated parameters. Each aggregated parameter depends on at least one of the one or more local parameters. The local parameters are aggregated into the aggregated parameters. Each aggregated parameter is distributed at least to the corresponding endpoints of each policy including any activity conditioned on the aggregated parameter. At least the corresponding policies are sent to the endpoints to cause each endpoint to apply each corresponding policy by collecting any aggregated parameters of the policy on the endpoint and executing the activities of the policy according to the corresponding aggregated parameters.

Control of activities executed by endpoints based on conditions involving aggregated parameters

Presenting notifications to one or more computing devices of a user is provided. A notification is received addressed to a client service running on a computing device of one or more computing devices of the user. The notification is classified based on content associated with the notification. User context of the user is determined based on user-related information received from the one or more computing devices. The notification is presented to one or more of the one or more computing devices of the user according to one or more modes of presentation, based on classifying the notification and determining the user context.

Presenting notifications to a user of a computing device

Embodiments of the present disclosure relate to improving computer performance. An action may be issued to a first client and a second client. A first optimization factor list (OFL) may be generated for the first client and a second OFL may be generated for the second client. After each OFL is generated, the first OFL may be compared to the second OFL. A correlation factor (CF) may be generated between the first client and the second client based on the OFL comparison, wherein the CF indicates a level of similarity between the first client and the second client. A bottleneck causing performance issues in the first client may be determined and computer configuration of the first client may be adjusted based on the bottleneck.

Modifying computer configuration to improve performance

Recommending corrective action during aerial application is provided. An unmanned aerial vehicle is navigated to a geolocation where an aerial application task is currently carried out. First sensor data is received from the unmanned aerial vehicle that characterize a quality of the aerial application task. Measures to be carried out to increase the quality of the aerial application task are determined based on the first sensor data. The measures are outputted while the aerial application task is ongoing so that the aerial application task can be adapted while the aerial application task occurs.

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Rome, Italy

Stefano Sidoti