Abstract: Methods and arrangements for conducting a search using query logs. A query log is consulted and query rewrite rules are learned automatically based on data in the query log. The learning includes obtaining click-through data present in the query log.

Abstract: Methods and arrangements for conducting a search using query logs. A query log is consulted and query rewrite rules are learned automatically based on data in the query log. The learning includes obtaining click-through data present in the query log.

Abstract: A computer-implemented method of load balancing including calculating an expected cost set associated with an application-specific task of an application executing on a processing resource in a cloud computing environment, and communicating the expected cost set from the processing resource to a cloud management system. Resource mapping of applications currently executing in the cloud computing environment are retrieved, the application-specific task is assigned to a specific computational resource in the cloud computing environment based on the expected cost set and the resource mapping of applications currently executing in the cloud computing environment. A task to VM (virtual machine) assignment is determined based on the assignment of the application-specific task to the specific computational resource. The task to VM assignment is transferred from the cloud management system to the application executing on the processing resource in the cloud computing environment.

Abstract: A non-transitory computer-implemented method of load balancing includes calculating an expected cost set associated with an application-specific task of an application executing on a processing resource in a cloud computing environment, and communicating the expected cost set from the processing resource to a cloud management system. Resource mapping of applications currently executing in the cloud computing environment are retrieved, and the application-specific task is assigned to a specific computational resource in the cloud computing environment based on the expected cost set and the resource mapping of applications currently executing in the cloud computing environment. A task to VM (virtual machine) assignment is determined based on the assignment of the application-specific task to the specific computational resource. The task to VM assignment is transferred from the cloud management system to the application executing on the processing resource in the cloud computing environment.

Abstract: A method and associated systems for the efficient selection of runtime rules for programmable search engines, in which a processor of a computer system translates a set of programmable search-engine runtime rules into a set of fielded documents and then partitions the fielded documents into optimized clusters that are each in turn converted into an inverted index. When a user submits a query, the search engine converts the query into a set of fielded queries and uses the set of inverted indices and the set of fielded queries to identify a candidate subset of the runtime rules. The search engine matches this candidate subset against the input query to select a final set of applicable runtime rules.

Abstract: A method and associated systems for the efficient selection of runtime rules for programmable search engines, in which a processor of a computer system translates a set of programmable search-engine runtime rules into a set of fielded documents and then partitions the fielded documents into optimized clusters that are each in turn converted into an inverted index. When a user submits a query, the search engine converts the query into a set of fielded queries and uses the set of inverted indices and the set of fielded queries to identify a candidate subset of the runtime rules. The search engine matches this candidate subset against the input query to select a final set of applicable runtime rules.

Abstract: A method of generating an image includes the step of obtaining captured data characterizing an object. The method also includes the step of reconstructing a spatio-temporal image of the object based on the captured data, the spatio-temporal image comprising a plurality of spatial images in respective time intervals, with at least a given one of the spatial images in one of the time intervals being reconstructed using captured data from a frame associated with that time interval and captured data associated with one or more additional frames associated with other time intervals. The method further includes the step of outputting the spatio-temporal image. The obtaining, reconstructing and outputting steps are performed by a processing device comprising a processor coupled to a memory.

Abstract: Methods and arrangements for conducting a search using query logs. A query log is consulted and query rewrite rules are learned automatically based on data in the query log. The learning includes obtaining click-through data present in the query log.

Abstract: Methods and arrangements for conducting a search using query logs. A query log is consulted and query rewrite rules are learned automatically based on data in the query log. The learning includes obtaining click-through data present in the query log.

Abstract: A spatio-temporal image of an object is reconstructed based on captured data characterizing the object. The spatio-temporal image comprises a plurality of spatial images in respective time intervals, and at least a given one of the spatial images in one of the time intervals is reconstructed using not only captured data from a frame associated with that time interval but also captured data associated with one or more additional frames associated with other time intervals. The spatio-temporal image may be reconstructed by iteratively obtaining a solution to a minimization or maximization problem in a sparse domain and transforming the solution to an image domain. The transformation between the sparse domain and the image domain may utilize a spatio-temporal transformation implemented using a plurality of basis functions, one or more of which may be determined at least in part based on secondary information associated with the imaged object.

Abstract: A computer-implemented method of load balancing including calculating an expected cost set associated with an application-specific task of an application executing on a processing resource in a cloud computing environment, and communicating the expected cost set from the processing resource to a cloud management system. Resource mapping of applications currently executing in the cloud computing environment are retrieved, the application-specific task is assigned to a specific computational resource in the cloud computing environment based on the expected cost set and the resource mapping of applications currently executing in the cloud computing environment. A task to VM (virtual machine) assignment is determined based on the assignment of the application-specific task to the specific computational resource. The task to VM assignment is transferred from the cloud management system to the application executing on the processing resource in the cloud computing environment.

Abstract: There is provided, in a parallel pipelined structure on a multi-core device, a method for parallel pipelined multi-core indexing. The method includes generating one or more single document indexes respectively corresponding to one or more single documents of a given data stream. The method further includes generating one or more multi-document interval-based hash tables from the one or more single document indexes. The method also includes generating a global hash table formed from merging one or more of the multi-document interval-based hash tables, the global hash table representing a collective index for all of the single documents for which the one or more single document indexes were generated.

Abstract: A spatio-temporal image of an object is reconstructed based on captured data characterizing the object. The spatio-temporal image comprises a plurality of spatial images in respective time intervals, and at least a given one of the spatial images in one of the time intervals is reconstructed using not only captured data from a frame associated with that time interval but also captured data associated with one or more additional frames associated with other time intervals. The spatio-temporal image may be reconstructed by iteratively obtaining a solution to a minimization or maximization problem in a sparse domain and transforming the solution to an image domain. The transformation between the sparse domain and the image domain may utilize a spatio-temporal transformation implemented using a plurality of basis functions, one or more of which may be determined at least in part based on secondary information associated with the imaged object.

Abstract: There is provided, in a parallel pipelined structure on a multi-core device, a method for parallel pipelined multi-core indexing. The method includes generating one or more single document indexes respectively corresponding to one or more single documents of a given data stream. The method further includes generating one or more multi-document interval-based hash tables from the one or more single document indexes. The method also includes generating a global hash table formed from merging one or more of the multi-document interval-based hash tables, the global hash table representing a collective index for all of the single documents for which the one or more single document indexes were generated.