International Business Machines Corporation

Shaw-Ben Shi

Meng Hong Tsai

Gandhi Sivakumar

Geetha Adinarayan

Debora Jean Byrne

Bruce Arland Rich

Michael Bradford Ault

Ernst Robert Plassmann

Mickella Ann Rosiles

Theodore J Shrader

Yu Chen Zhou

Randy Allan Rendahl

Yi-hsiu Wei

David G Robinson

Cheng Luo

Sushma Bharat Patel

Rodolfo Augusto Mancisidor

Jinfang Chen

Jonathan Michael Cook

Daniel Edward House

Yu Zheng

Xiao Bi Liang

John Ryan McGarvey

I-Lung Kao

Wayne B Riley

Chetan Ram Murthy

Lloyd E Jordan, Ii

Larry George Fichtner

Qingyan Wang

Martin Jay Sirkin

Chandra Paul Immanuel

Richard Lee Daugherty

Cynthia Fleming Corn

Chin-Long Shu

Paul Edwin Stephens

Yang Liu

Xin Peng Liu

Peng Gao

Xiao Liang Hu

Chih-Hsiung Liu

Xi Ning Wang

Xia Tian Zhang

Theodore Jack London Shrader

Lei He

John Mark McConaughy

John William Sweitzer

Barry Keith Aldred

Trung Minh Tran

Ronald Bruce Baker

Shun Xiang Yang

Zhen Xiang Yang

Yue Yu

Benjamin Nelson Jeffcoat

Dah-Haur H Lin

David Werner Bachmann

Ellen Jean Stokes

Reginal Raynard Hill

Lorraine Phyllis Vassberg

Karen Lynn Buros

Rodney Carl Burnett

Byron Eugene Todd, Iii

Peter C-t Wang

Yun Song Huang

Shia-San Gong

Dah-Haur David Lin

A method, system, and computer program product for graph-based searching for one or more data streams is disclosed. A computer-implemented method comprises extracting a plurality of tuples from one or more data streams. The method further comprises generating a graph for the plurality of tuples in which a node represents a tuple of the plurality of tuples and an edge represents a correlation between the node and another node, and the edge is generated based at least partly on one or more predetermined queries for the one or more data streams. The method further comprises traversing the graph based on the one or more predetermined queries. Accordingly, embodiments of the present disclosure can improve the search speed by use of the graph-based searching for one or more data streams.

Graph-based searching for data stream

Provided are techniques for building and fixing a dynamic application topology. Log files are received from multiple sources comprising any of services and nodes. Information is extracted from the log files. An application topology is created for a particular point in time for an application that provides hierarchical relationships of components for executing the application using the extracted information. One or more problems in the application topology are identified. A solution is applied to each of the one or more problems.

Building and fixing a dynamic application topology in a cloud based environment leveraging log file data

One embodiment for determining a marketing incentive for a user of an electronic device. In one embodiment, a computer processor detects a first electronic device within a retail environment utilizing a second electronic device that also identifies information associated with the first electronic device. In one embodiment, a computer processor determines a behavior associated with the first electronic device based, at least in part, on movement of the first electronic device within the retail environment. In one embodiment, a computer processor identifies data associated with the retail environment that includes information associated with a retailer associated with the retail environment and information associated with the first electronic device. In one embodiment, a computer processor determines a first marketing incentive based, at least in part, on the determined behavior associated with the first electronic device and the identified data associated with the retail environment.

Personalized marketing incentives based on historical information and mobility monitoring

A computer-implemented method includes receiving a data stream and dividing the data stream into one or more data artefacts for one or more time intervals. The computer-implemented method further includes generating one or more contexts. Each of the one or more contexts are for at least one of the one or more time intervals. The computer-implemented method further includes storing each of the one or more data artefacts in shared storage. The shared storage is accessible for each of the one or more contexts. The computer-implemented method further includes, for each context of the one or more contexts: determining a dependency for the context; monitoring the context for a completion of said dependency; and responsive to the completion, releasing the dependency. The computer-implemented further includes removing those of the one or more data artefacts that do not belong to the dependency for any of the one or more contexts.

Efficiency for real-time data processing

The method include receiving, by one or more computer processors, a request for data usage, the request for data usage being associated with a mobile device. The method further includes identifying, by one or more computer processors, a current data usage quantity, the current data usage quantity being associated with the mobile device. The method further includes determining, by one or more computer processors, whether the current data usage quantity is beyond a threshold data usage. The method further includes responsive to the data usage quantity being beyond the threshold data usage, receiving, by one or more computer processors, mobile device information associated with the mobile device. The method further includes analyzing, by one or more computer processors, the mobile device information. The method further includes determining, by one or more computer processors, access for the request based on the mobile device information and the current data usage quantity.

Data usage recommendation generator

A method, system and computer program product for analytically selecting which tests are to be executed in a continuous delivery process. An analytics processing system constructs a code dependency tree to analyze the tests that are affected by changes in code after a new build is generated. After analyzing the code dependency tree, the system eliminates those tests in the code dependency tree that do not depend on the changed code. The system then analyzes the historical execution records for those tests that have not been eliminated for execution to obtain an execution rate and a failure rate for those tests. A score is generated for each of the tests from the code dependency tree that were not eliminated for execution based on the historical execution rate and failure rate of the test. Tests that have a score that exceeds a threshold are included for execution.

Analytically selecting which tests are to be executed in a continuous delivery process

An embodiment of the present invention may include a system and method for intrusion detection of an unauthorized human. The embodiment may include a security device with a human presence detector, recognition mechanisms, and a computer coupled to the device over a network. The device may detect a human and notify the computer. In response, the computer may cause the device to collect and transmit recognition mechanism information. This may include causing the device to collect and transmit first information, determining a degree of match to each corresponding stored information associated with a human, and determining that a sufficient match does not exist. For each subsequent mechanism, the embodiment may include causing the device to collect and transmit the subsequent information, determining a degree of match, and in response to determining that the confidence level of the match is above the threshold, classifying the human as authorized.

Multi-sensor intrusion detection system

A method and apparatus for managing the persistent data of a pre-installed application in an elastic virtual machine instance is disclosed, the method comprising: in response to installing an application into a master virtual machine image, obtaining a persistent data point of a function component of the application, the persistent data point comprising a file directory for storing the persistent data of the function component; in response to launching an elastic virtual machine instance from the master virtual machine, creating a storage volume, attaching the storage volume to the elastic virtual machine instance, and mounting the storage volume to the file directory based on the persistent data point. Other features and aspects may be realized, depending upon the particular application.

Managing the persistent data of a pre-installed application in an elastic virtual machine instance

A computer implemented method, apparatus, and computer usable program code for collecting data. The data is collected from a particular data source by an application portion of agent to form collected data. The application portion is associated with the particular data source in response to an event. The collected data stored in a temporary data store for transfer to a data storage system to form stored data. The stored data sent to the data storage system using a generic portion of the agent, wherein the generic portion of the agent is configured to send data to the data storage system.

Collecting data from data sources

A computer implemented method, data processing system, and computer program product for allowing users with minimal database skills to produce efficient, extended configuration management databases. Input is received from a user to extend a configuration management database, wherein the input includes a generic data type. The generic data type is mapped to a database data type of the configuration management database. An SQL statement is then generated to create the database data type in the configuration management database. Responsive to a successful execution of the SQL statement, the tables in the configuration management database are updated with the database data type to reduce a number of tables created for the database data type.

Extending configuration management databases using generic datatypes

Growing community of inventors

Austin, TX, United States of America

Shaw-Ben Shi