International Business Machines Corporation

Dustin K Amrhein

Nitin Gaur

Christopher D Johnson

Douglas Berg

Kulvir Singh Bhogal

Erik John Burckart

Andrew J Ivory

Aaron Kyle Shook

Benjamin Michael Parees

Brian Keith Martin

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)

Provided are techniques for collecting data associated with a mobile communication device, wherein the mobile communication device is executing a session associated with a mobile application over a wireless connection; assigning a corresponding weight value to each datum of the constraint data; generating a score for the communication session based upon the data wherein each datum is modified based upon the corresponding weight; and, in response to a determination that the score falls within a first range, store a context corresponding to the session in a persistent data storage and extend the session; in response to a determination that the score falls within a second range, distinct from the first range, store the context in the persistent data storage and maintain the session as a transient session; and, in response to a determination that the score does not fall within wither the first or second ranges, terminate the session.

Constraint based signal for intelligent and optimized end user mobile experience enhancement

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

Constraint based signal for intellegent and optimized end user mobile experience enhancement

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 computer implemented method and system for proximity aware identification includes determining a symbol for identification on a first device. The first device is configured to detect a second device in a specified proximity to the first device. The method and system includes displaying the symbol on the first device, and detecting the second device within the specified proximity. The first device sends an image including the symbol to the second device, and the second device receiving the image and displaying the symbol. Indicating a location of the second device on a display of the first device depicting a relative location of the first device to the second device using the symbol, wherein the first device and the second devices include the symbol for identification by users of the first and second devices.

Enabling proximity-aware visual identification

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 client application cache access profile is created that documents accesses over time to data cached within an in-memory data grid (IMDG) cache by each of a set of client applications that utilize the IMDG. A new data request is received from one of the set of client applications that includes a client-application data caching vote that specifies whether the requesting client application wants the newly-requested data cached. In response to an IMDG cache data miss related to the new data request, a determination is made as to whether to cache the newly-requested data based upon analysis of the client application cache access profile of the client application from which the new data request was received, IMDG system performance cache costs of caching the newly-requested data, and the client-application data caching vote. The newly-requested data is cached within the IMDG cache in response to determining to cache the newly-requested data.

Client voting-inclusive in-memory data grid (IMDG) cache management

A computer receives one or more partitions of application code and one or more tags associated with each partition. The computer identifies feedback corresponding to the application and determines whether terms contained within the feedback correspond to the tags associated with the partitions of code. Based on determining that the terms within the feedback correspond to the tags associated with a partition, associating the feedback with the corresponding partition of code. Based on determining that the terms within the feedback do not correspond to the tags associated with a partition, improving correlating accuracy through techniques such as machine learning, text analytics, natural language processing, and developer feedback to determine additional terms and additional tags.

Qualitative feedback correlator

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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Zachary, LA, United States of America

Dustin K Amrhein