Abstract: A target domain name is classified using hash strides including domain name components. The hash strides are fed into a set of bloom filters programmed to identify pre-determined domain name categories. A programmable mapping table is provided for selecting one of many probable classifications.

Abstract: An approach for discovery of relevant data in massive datasets. Compare datasets including compare key fields, compare data fields and a core dataset including target data field(s) and core field(s) are received. The compare datasets are categorized into direct and indirect related dataset pools based on the target data field(s) correlation strength with matching compare and core fields. The direct related dataset pool and the core dataset are transformed into reduction datasets based on statistical measure of values of target data fields, shared key fields and compare data fields. Target correlations of the reduction datasets are creating based on a reduction compare and target data fields. Statistical relationship strength of core dataset and the direct related dataset pool are created based on a statistical mean of target correlations and a relevancy data store is created.

Abstract: One embodiment of the present invention provides a computing system, which identifies, for graph clustering, first and second sets of vertices in a graph. A respective vertex in the first set of vertices is an exemplar. A respective vertex in the second set of vertices is not an exemplar and not associated with a vertex identifier. The system assigns a vertex identifier of a first vertex in the first set to a second vertex in the second set based on type and strength of relationship between the vertices. The vertices represent elements in a data set. The vertex identifiers of the first and second vertices do not change before convergence. The system allocates the first vertex and the second vertex to a first vertex cluster associated with the vertex identifier, and detects convergence based on modularity associated with vertex clusters representing information of interest in the data set.

Abstract: A method and system configured for receiving data associated with a virtual connection between a client and server communicating using SCSI over a fiber channel network by a server fiber channel adapter, identifying a data stream for the virtual connection, and writing the data to a tail of a singly linked list of the data stream without a lock by a producer process thread while a consumer process thread has access to the linked list of the data stream.

Abstract: A first device may receive an instruction to add a first marker that identifies a first time index associated with particular content and a particular account used to access the particular content; receive an instruction to add a second marker that identifies a second time index associated with the particular content and the particular account; store the first marker and information associating the first marker with the first time index, the particular content, and the particular account; store the second marker and information associating the second marker with the second time index, the particular content, and the particular account; receive selection of the first marker or the second marker, associated with the particular content and the particular account; and cause a second device to play back the particular content at the first time index or the second time index.

Abstract: A system is described for processing schema updated in a zero-downtime environment. A technique includes establishing an application session to access a database, receiving a schema update, converting the database to an updated database according to the schema update after establishing the application session, generating a temporary compensation view from the schema update, the temporary compensation view containing compensation logic to locate database objects belonging to the database, receiving a database transaction from the application session to access a database object in the database; and processing the compensation logic to locate the database object.

Abstract: Data unavailability and data loss events in a large distributed database system are predicted by proactively and substantially continuously collecting information about appliance states and operations in the database system, forming feature vectors of prescribed key information features, and classifying said feature vectors as indicative of possible DU/DL events based upon their similarity and closeness to stored historical feature vectors known to be relevant to DU/DL events.

Abstract: Techniques for predicting data replication performance degradation are described. According to one embodiment, a method starts with receiving periodically data replication characteristics from a source storage and a target storage, the periodically received data replication characteristics being extracted from a replication process of the source storage replicating data to the target storage. The periodically received data replication characteristics are analyzed at a replication management server communicatively coupled with the source storage and the target storage, and a predictive modeling are applied. When the possibility of degradation of replication performance reaches a predetermined threshold, a notification is sent out.

Abstract: Embodiments include a method and computer program product for encoding data while it is being processed as part of a query is provided. The method includes receiving a query request and determining a set of values associated with data to be encoded for completing the query request. The method also includes encoding those values such that any subsequent processing operations can be performed on the encoded values to complete the requested query. After performing the subsequent processing operations to complete the requested query, each value is decoded back to its original value.

Abstract: Techniques for providing on-demand validation services for wager-based virtual machines deployed in a cloud based virtual environment. In some implementations, data sources store master deployment sets containing virtual machines. The master deployment sets may be deployed to component servers to provide a gaming related software services to remote client machines. The on-demand service takes snapshots of the virtual machines in the deployment and the virtual machines in the master deployment set. The snapshots are compared to ensure that important files in the master deployment set have not been improperly modified in the deployment. In some implementations, a secure hashing algorithm creates signatures for the snapshots prior to the comparison and the signatures are compared. The validation result may be sent to a remote client that requested the validation.

Abstract: A database analyzer includes a data sorting unit sorting a data group acquired from an analysis target database based on data values in a table column and storing it as analysis target data in a storage unit; a data pattern creation processing unit creating a group for each data value based on differences between the data values and storing a data pattern in the storage unit; a data pattern judgment processing unit for judging validity of the data pattern; and a data pattern transformation processing unit for reconstructing the data pattern with respect to constituent elements of each group included in the data pattern by transforming each group in accordance with a specified conversion rule for converting the constituent elements, which are conceptually similar to each other, into the same constituent element, and storing it in the storage unit if a negative result is obtained for the validity judgment.

Abstract: Checksum values are generated and used to verify the data integrity. A client executing in a parallel computing system stores a data chunk to a shared data object on a storage node in the parallel computing system. The client determines a checksum value for the data chunk; and provides the checksum value with the data chunk to the storage node that stores the shared object. The data chunk can be stored on the storage node with the corresponding checksum value as part of the shared object. The storage node may be part of a Parallel Log-Structured File System (PLFS), and the client may comprise, for example, a Log-Structured File System client on a compute node or burst buffer. The checksum value can be evaluated when the data chunk is read from the storage node to verify the integrity of the data that is read.

Abstract: Embodiments include a system for encoding data while it is being processed. The system includes a processor, an encoder and a decoder. The processor is configured to process a query request by determining a set of values. The encoder is configured for encoding the set of values, such that a subsequent processing operation can be performed on the encoded values. The processor performs the subsequent processing operations. The decoder is configured for decoding each value back to its value prior to being encoded upon completion of the processor completing the requested query.

Abstract: Disclosed are various embodiments for a navigation element generation application. A navigation element comprising a plurality of navigation aids is generated responsive to a search query and other data. A relevance score is calculated for the navigation element. The navigation element is inserted into a ranked list of search result items as a function of the relevance score and communicated to a client.

Abstract: Before backing up a user file to backup storage, a trust deduplication module is configured to ask a limited set of other trust deduplication modules to check if the user file has already been backed up. If the user file is already backed up, a backup receipt that corresponds to the user file (which was provided during backup of the user file) is communicated to the requesting trust deduplication module. The backup receipt provides the requesting trust deduplication module with access to the already-backed up user file in backup storage, and the requesting trust deduplication module need not back up the user file. Thus, a single copy of the user file can be stored in backup storage among several trusted users who own an instance of the user file. A user file can be restored from backup storage, using a backup receipt that corresponds to the user file.

Abstract: As medical imaging becomes more affordable, and the diversity of diagnostic modalities and therapeutic treatments increase, the amount of data being stored increases, and the problem becomes even more critical. One approach to improve retrieval efficiency of images is to employ semantics to establish a defined set of search and classification terms. However, such semantic systems still require the user to make a selection of the most appropriate term or terms to classify a report or image, and the accuracy of the results are thus dependent on the skill and knowledge of the classifier. According to a first aspect of the invention, a retriever is provided for retrieving a medical image having a searchable attribute, the retriever being configured to interface with a semantic database and an image database, and wherein the searchable attribute is determined by segmenting the medical image, using the anatomical model.

Abstract: Example systems and methods of deleting data stored in a database system are presented. In one example, a plurality of data items is received from an application and stored at the database system. Also received from the application and stored at the database system is deletion timing information for each of the data items. The deletion timing information for a data item may indicate when the data item is to be deleted from the database system. At least one of the data items may be deleted at the database system at a time indicated by its corresponding deletion timing information without assistance from the application.

Abstract: Data mining and logic-checking tools provided by a service to a client organization enable fractal data comparison and analysis and a logic-based data derivation. The tools are configured to interface with websites which have data that typically is 1) required and missing from a client organization's database, 2) used to validate pre-existing data in a user's database, or 3) used to derive new data for a user's database. For data acquisition, the tools interface with sources of data which, typically, do not offer an application programming interface (API) for non-human access to the data. The tools may execute routines to validate the acquired data to ensure its completeness and logical accuracy as well as enrich the data with data from other sources or data that is derived from the acquired data. The processed data is organized and transformed into specified end states and routed to appropriate recipients.

Abstract: A computer system determines a category of users to which a user of a computer belongs. The computer system determines a relationship between the category of users and at least one program available for installation from the computer system. Based on the determined relationship, the computer system determines that at least one feature of the at least one program are of potential interest to the user of the computer. The computer system notifies the user of the at least one feature of the at least one program of potential interest.

Abstract: A method performed by one or more processing devices includes obtaining search results responsive to a search query submitted by a user; determining a maturity score for the user, where the maturity score represents a measure of development of a particular user attribute; determining, based on the maturity score, utility scores for the search results, where a utility score represents a measure of utility of a particular type of content to a particular type of user as defined by the measure of development of the particular user attribute; and adjusting rankings of the search results based on the utility scores.