Abstract: A technology is described for automating deployment of a machine learning model. An example method may include receiving, via a graphical user interface, credentials for connecting to a data store containing a plurality of datasets and connecting to the data store using the credentials. A selection of a target metric to predict using the machine learning model can be received, via the graphical user interface, and datasets included in the plurality of datasets that correlate to the target metric can be identified by analyzing the datasets to identify an association between the target metric and data contained within the datasets. The datasets can be input to the machine learning model to train the machine learning model to generate predictions of the target metric, and the machine learning model can be deployed to computing resources in a service provider environment to generate predictions associated with the target metric.

Abstract: Creating sub-social networks based on contextual inferencing may include analyzing, using a processor, social network activity among a plurality of users that belong to a social network and determining, using the processor, an interest category according to the social network activity. A sub-social network for the interest category may be created using the processor. The sub-social network may include a subset of the plurality of users of the social network having an association with the interest category.

Abstract: Creating sub-social networks based on contextual inferencing may include analyzing, using a processor, social network activity among a plurality of users that belong to a social network and determining, using the processor, an interest category according to the social network activity. A sub-social network for the interest category may be created using the processor. The sub-social network may include a subset of the plurality of users of the social network having an association with the interest category.

Abstract: Techniques are disclosed for implementing custom object-in-memory formats in a data grid network appliance. The techniques include maintaining a record of format definitions on a client device of the data grid and a corresponding record of format definitions on a server device of the data grid. Each format definition may indicate one or more attributes of an object class and data types and byte ranges of the attributes. The client device may serialize one or more objects for storage in the data grid based on respective format definitions associated with the one or more objects and retrieved from the record of format definitions maintained on the client device. Further, the server device may perform one or more data grid operations using format definitions retrieved from the record of format definitions maintained on the server device.

Abstract: Techniques are disclosed for implementing custom object-in-memory formats in a data grid network appliance. The techniques include maintaining a record of format definitions on a client device of the data grid and a corresponding record of format definitions on a server device of the data grid. Each format definition may indicate one or more attributes of an object class and data types and byte ranges of the attributes. The client device may serialize one or more objects for storage in the data grid based on respective format definitions associated with the one or more objects and retrieved from the record of format definitions maintained on the client device. Further, the server device may perform one or more data grid operations using format definitions retrieved from the record of format definitions maintained on the server device.

Abstract: A method, system and computer program product for autonomic caching in an IMDG has been provided. A method for autonomic caching in an IMDG includes receiving from a client of the IMDG a request for a primary query in the IMDG. The method also includes associating the primary query with a previously requested sub-query related to the primary query. Finally, the method includes directing the sub-query concurrently with a directing of the primary query without waiting to receive a request for the sub-query from the client. In this way, the method can proactively predict a receipt of the request for a sub-query following a request for a primary query prior the actual receipt of the request for the sub-query.

Abstract: A method, system and computer program product for autonomic caching in an IMDG has been provided. A method for autonomic caching in an IMDG includes receiving from a client of the IMDG a request for a primary query in the IMDG. The method also includes associating the primary query with a previously requested sub-query related to the primary query. Finally, the method includes directing the sub-query concurrently with a directing of the primary query without waiting to receive a request for the sub-query from the client. In this way, the method can proactively predict a receipt of the request for a sub-query following a request for a primary query prior the actual receipt of the request for the sub-query.

Abstract: Systems and methods of managing an in-memory data grid (IMDG) may involve conducting a data distribution analysis of the IMDG on a periodic basis, and selecting a hash scheme from a plurality of hash schemes based on the data distribution analysis. In one example, the selected hash scheme is used to conduct a repopulation of the IMDG, wherein the repopulation increases the distribution evenness of database records across the IMDG.

Abstract: Systems and methods of managing an in-memory data grid (IMDG) may involve conducting a data distribution analysis of the IMDG on a periodic basis, and selecting a hash scheme from a plurality of hash schemes based on the data distribution analysis. In one example, the selected hash scheme is used to conduct a repopulation of the IMDG, wherein the repopulation increases the distribution evenness of database records across the IMDG.

Abstract: Techniques are disclosed for implementing custom object-in-memory formats in a data grid network appliance. The techniques include maintaining a record of format definitions on a client device of the data grid and a corresponding record of format definitions on a server device of the data grid. Each format definition may indicate one or more attributes of an object class and data types and byte ranges of the attributes. The client device may serialize one or more objects for storage in the data grid based on respective format definitions associated with the one or more objects and retrieved from the record of format definitions maintained on the client device. Further, the server device may perform one or more data grid operations using format definitions retrieved from the record of format definitions maintained on the server device.

Abstract: A method, system and computer program product for autonomic caching in an IMDG has been provided. A method for autonomic caching in an IMDG includes receiving from a client of the IMDG a request for a primary query in the IMDG. The method also includes associating the primary query with a previously requested sub-query related to the primary query. Finally, the method includes directing the sub-query concurrently with a directing of the primary query without waiting to receive a request for the sub-query from the client. In this way, the method can proactively predict a receipt of the request for a sub-query following a request for a primary query prior the actual receipt of the request for the sub-query.

Abstract: Methods (600-900) for optimizing performance of systems (100, 200). The methods involve determining if a device (108, 1081, 1082, . . . , 108N) has been deployed as a standalone device or a cluster device. The determination can be based on a value of a flag stored in the device (e.g., an appliance) or contents of device registration information stored in a master device of a cluster of devices. The methods also involve automatically delegating data management operations to a centralized Memory Management System (MMS) or a distributed MMS (210) based on results of said determination. The centralized MMS (110) performs relational database management operations (e.g., SQL operations) in response to said data management operations being delegated thereto. The distributed MMS performs grid database management operations (e.g., non-SQL based operations or key-value based operations) in response to said data management operations being delegated thereto.

Abstract: Efficient ablation with multiple electrodes is obtained by rapidly switching electric power to the electrodes. In this way, shielding effects caused by the field around each electrode which would otherwise create cool spots, are avoided. Complex inter-electrode current flows are also avoided.

Abstract: Systems and methods of managing an in-memory data grid (IMDG) may involve conducting a data distribution analysis of the IMDG on a periodic basis, and selecting a hash scheme from a plurality of hash schemes based on the data distribution analysis. In one example, the selected hash scheme is used to conduct a repopulation of the IMDG, wherein the repopulation increases the distribution evenness of database records across the IMDG.

Abstract: Systems and methods of managing an in-memory data grid (IMDG) may involve conducting a data distribution analysis of the IMDG on a periodic basis, and selecting a hash scheme from a plurality of hash schemes based on the data distribution analysis. In one example, the selected hash scheme is used to conduct a repopulation of the IMDG, wherein the repopulation increases the distribution evenness of database records across the IMDG.

Abstract: Methods (600-900) for optimizing performance of systems (100, 200). The methods involve determining if a device (108, 1081, 1082, . . . , 108N) has been deployed as a standalone device or a cluster device. The determination can be based on a value of a flag stored in the device (e.g., an appliance) or contents of device registration information stored in a master device of a cluster of devices. The methods also involve automatically delegating data management operations to a centralized Memory Management System (MMS) or a distributed MMS (210) based on results of said determination. The centralized MMS (110) performs relational database management operations (e.g., SQL operations) in response to said data management operations being delegated thereto. The distributed MMS performs grid database management operations (e.g., non-SQL based operations or key-value based operations) in response to said data management operations being delegated thereto.

Abstract: A method, apparatus and program product is provided for accessing data in an abstract data store. In response to receiving a key value, an object is created by converting the key value into a key tuple. A value tuple is requested from the abstract data store corresponding to the key tuple. The key tuple and value tuple are converted to the object by a projector, which then stores the object on an object graph. An object is saved to the abstract data store by persisting the object onto the object graph. The object is detected on the object graph by the projector. In response to detecting the object, the object is converted to a key tuple and a value tuple by the projector. The object graph is then synchronized with the abstract data store by pushing the key and value tuples to the abstract data store.

Abstract: A method, apparatus, and program product manage a plurality of resources of at least one logically partitioned computing system of the type that includes a plurality of logical partitions managed by a partition manager with an application level administrative console resident in a logical partition of the computing system. Each logical partition is allocated at least a portion of the plurality of resources. A user request to adjust the allocation of at least a portion of the resources using the administrative console is received. The resources of the logically partitioned computing system to adjust in order to satisfy the user request are determined using the application level administrative console. The application level administrative console accesses the partition manager through a resource allocation interface to adjust the determined resources of the logically partitioned computing system in order to satisfy the user request.

Abstract: A method, apparatus and program product is provided for querying an object database. In response to performing a first query, a first set of query results is generated from an object database. Metadata associated with and describing the first set of query results is generated. The first query results and the associated metadata are mapped to a results entity. A second set of query results is generated by querying the results entity using query terms from the metadata in response to performing a second query.

Abstract: A method, apparatus, and program product manage a plurality of resources of at least one logically partitioned computing system of the type that includes a plurality of logical partitions managed by a partition manager with an application level administrative console resident in a logical partition of the computing system. Each logical partition is allocated at least a portion of the plurality of resources. A user request to adjust the allocation of at least a portion of the resources using the administrative console is received. The resources of the logically partitioned computing system to adjust in order to satisfy the user request are determined using the application level administrative console. The application level administrative console accesses the partition manager through a resource allocation interface to adjust the determined resources of the logically partitioned computing system in order to satisfy the user request.