International Business Machines Corporation

Douglas Berg

Nitin Gaur

Christopher D Johnson

Dustin K Amrhein

Kulvir Singh Bhogal

Todd Eric Kaplinger

Brian Keith Martin

Benjamin Michael Parees

Hai Shan Wu

Michael Joseph Spreitzer

Brian Keith Smith

Embodiments of the invention provide a method, system and computer program product for optimized continuous query processing in an in memory data grid (IMDG). In an embodiment of the invention, a method for optimized continuous query processing in an IMDG includes receiving a request to add an object to an IMDG. The method also includes evaluating a continuous query upon the object in order to produce a result. The method yet further includes adding an attribute to the object referencing the continuous query and assigning a value to the attribute of the result. The method even yet further includes inserting the object with the attribute into the IMDG. Finally, the method includes returning the value of the attribute in lieu of repeating an evaluation of the continuous query in response to receiving a request to repeat an evaluation of the continuous query in respect to the object.

Optimizing continuous query operations in an in memory data grid (IMDG)

Embodiments of the invention provide a method, system and computer program product for data duplication detection in an in memory data grid (IMDG). A method for data duplication detection in an IMDG includes computing a hash value for each binary data value in a key value pair of a partition in an IMDG. The method also includes generating a map including an entry for each unique computed hash value and one or more keys corresponding to binary data values of respective key value pairs from which the hash value had been uniquely computed. Thereafter, only those hash values in the map with multiple keys associated therewith are identified and binary data corresponding to the multiple keys of the identified hash values are reported as potential duplicate data in the IMDG.

Data duplication detection in an in memory data grid (IMDG)

Techniques are described for scaling an in-memory data grid to satisfy the needs of client applications requesting data from the in-memory data grid. The in-memory data grid may monitor a variety of factors, such as data traffic or number of received queries from a particular geographical region, to determine whether to create a proximity grid. A proximity grid is an extension of the in-memory data grid that services queries originating from a defined geographic region. Each proximity grid stores data objects relevant to the proximity grid's assigned geographic region. Queries originating from the client applications within the geographic regions are then routed to the corresponding proximity grid for execution. The proximity grid may be terminated when the need of the client applications within the geographic region has subsided.

Proximity grids for an in-memory data grid

A computer receives a request from a client application for data within an enterprise grid. The computer sends the data along with a program to monitor the application's use of the data. The computer subsequently receives from the program a subset of the data being utilized by the client application. Responsive to a subsequent request for the data, the computer sends to the client application only the data corresponding to the identified subset of data being utilized.

Intelligent mapping for an enterprise grid

A method, system, and program product for optimizing distribution and availability of data partitions is disclosed. Placement logic is run for data partition distribution which optimizes a configuration of a memory data grid. A determination of a change in performance of the memory data grid after adding new members to the memory data grid is provided. Replication of data partitions in the memory data grid is minimized. Optimum data partition distribution in the memory data grid is determined.

Optimization of in-memory data grid placement

Embodiments of the present invention provide a method, system and computer program product for IMDG No-SQL schema optimization. In an embodiment of the invention, an IMDG No-SQL schema optimization method is provided. The method includes parsing documents of a No-SQL database, such as a document-oriented database, to select an object model mapping the documents of the No-SQL database to different portions of the IMDG, and selecting a partitioning schema for the IMDG according to the documents. Thereafter, a change in the documents of the No-SQL database can be detected, for example a change in data density of the documents of the No-SQL database, and in response to detecting the change, the documents of the No-SQL database are parsed to select a new object model of the No-SQL database mapping the documents to different portions of the IMDG, and to select a new partitioning schema for the IMDG according to the documents.

Optimization of an in memory data grid (IMDG) schema based upon a No-SQL document model

A method for autonomic data partition placement in an in-memory data grid (IMDG) based on usage sampling is provided. The method may include sampling access pattern data, during a configurable window, of a client accessing one or more data objects in the IMDG. Analytics are applied to the sampled access pattern data to determine a replacement partition schema, based on the analyzed sampled access pattern data exceeding at least one performance threshold. The deployed partition schema is altered, based on the replacement partition schema.

Autonomic data partition placement in an in-memory data grid

A method, system and computer program product for dynamic map template discovery and map creation may include determining a frequency of use of a data object in a database and discovering a dynamic map template corresponding to the data object based on the frequency of use of the data object. The method may also include creating a dynamic map from the dynamic map template in response to discovering the dynamic map template.

Dynamic map template discovery and map creation

A method, system, and program product for optimizing distribution and availability of data partitions is disclosed. Placement logic is run for data partition distribution which optimizes a configuration of a memory data grid. A performance impact of adding new members to the memory data grid is provided. Replication of data partitions in the memory data grid is minimized. Optimum data partition distribution in the memory data grid is determined.

System and method of optimization of in-memory data grid placement

A method for transferring and storing a data set associated with an in-memory data grid (IMDG) is provided. The method may include identifying at least two data object instances associated with the data set based on a determined relationship between the at least two data object instances. The method may also include performing a field relation analysis on the identified at least two data object instances and recording the field relation analysis. The method may include receiving a request for a data object associated with the data set. The method may include determining if an optimization can be performed on the data object. The method may include omitting a field value associated with the data object based on the determined optimization. The method may include inflating the omitted field value into the data set associated with the data object request and returning the data set with the inflated field value.

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Rochester, MN, United States of America

Douglas Berg