International Business Machines Corporation

Christopher D Johnson

Nitin Gaur

Kulvir Singh Bhogal

Douglas Berg

Dustin K Amrhein

Todd Eric Kaplinger

Brian Keith Martin

Snehal S Antani

Asima Silva

Frederick Allyn Kulack

Jonathan Frederick Brunn

William Thomas Newport

Marit L Imsdahl

Razeyah Stephen

Jared H Anderson

James J Stadtmiller

Jonathan T Coffey

Yuriy B Veytsman

Mark A DuFresne

John Joseph Stecher

Steven Joseph Branda

Randall Paul Baartman

Bhushan Kamlakar Lokhande

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.

Autonomic caching for in memory data grid query processing

Embodiments of the present invention provide a method, system and computer program product for the seamless integration of an application with an in memory data grid. In an embodiment of the invention, a method for intercepting database queries from a computer program for delegation to an in memory data grid is provided. The method includes retrieving database queries from a database driver for a database management system from a requesting computer program and comparing at least a portion of each of the database queries to a listing of database queries. Thereafter, the database queries are selectively routed to a data grid, such as an in memory data grid, in lieu of the database management based upon the comparison.

Interception of database queries for delegation to an in memory data grid

Task-oriented messages are presented to a user in an interactive format for disposition. Natural language processing techniques parse task-oriented messages for individual tasks, such as assignments, information requests, and requests for approval or authorization. A user interface provides a recipient of a task-oriented message with selectable tasks for individual, or group, disposition, such as respond, defer, delegate, mark answered, and ignore. Recipients are notified if an incomplete response is generated, such as when an identified task is not dispositioned.

Task-oriented messaging system

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.

Custom object-in-memory format in data grid network appliance

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)

A code reuse user interface executed by a processor allows a code developer to specify unused data variables of a coded object definition to be reused, from pre-existing code within a new application, as a partial object without instantiation of the unused data variables. An indication from the code developer that at least one data variable of the reused coded object definition is specified as unused in the new application is detected within the code reuse user interface. The specified at least one unused data variable of the reused coded object definition is externalized from the code reuse user interface to a runtime environment, where as part of execution of the new application in the runtime environment, the runtime environment instantiates the reused coded object definition as the partial object without instantiation of the specified at least one unused data variable.

Sparse object instantiation

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

In an approach to delegating distribution of push notification messages, a computer processor identifies, based, at least in part, on at least one characteristic, a plurality of computing devices to receive push notification information, and sends the push notification information to each of the plurality of computing devices.

Device delegation of push notification distribution

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.

Growing community of inventors

Rochester, MN, United States of America

Christopher D Johnson