Patents by Inventor Brian R. Muras

Brian R. Muras has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Generating and accessing a data table
    Patent number: 9740721
    Abstract: An index shared between a plurality of tables is used to access a data sharing space (DSS) storing a set of rows from a base table having a plurality of rows with stored data. First data values of the index are identified in response to a query for a table. A subset of rows is then retrieved from the DSS using the index elements corresponding to the first data values. Second data values and some of the first data values are then identified in response to a second query for a table. A second subset of rows are then retrieved from the DSS using the index elements corresponding to the second data values and some of the first data values and the query is then applied to the subset of rows.
    Type: Grant
    Filed: August 25, 2014
    Date of Patent: August 22, 2017
    Assignee: International Business Machines Corporation
    Inventors: Rafal P. Konik, Roger A. Mittelstadt, Brian R. Muras, Mark W. Theuer
  • QUERY PLAN MANAGEMENT ASSOCIATED WITH A SHARED POOL OF CONFIGURABLE COMPUTING RESOURCES
    Publication number: 20170199910
    Abstract: Disclosed aspects relate to query plan management associated with a shared pool of configurable computing resources. A query, which relates to a set of data located on the shared pool of configurable computing resources, is detected. A virtual machine includes the set of data. With respect to the virtual machine, a set of burden values of performing a set of asset actions is determined. Based on the set of burden values, a query plan to access the set of data is established. Using at least one asset action of the set of asset actions, the query plan is processed.
    Type: Application
    Filed: January 12, 2016
    Publication date: July 13, 2017
    Inventors: Rafal P. Konik, Roger A. Mittelstadt, Brian R. Muras
  • Database statistics based on transaction state
    Patent number: 9697251
    Abstract: A computer-implemented method for determining a query execution plan based on transaction state may include determining that a first set of database values in a database table are in a committed transaction state and that a second set of database values in the database table are in an uncommitted transaction state. In response to the determining, the first set of database values may have a first set of statistics generated and the second set of database values may have a second set of statistics generated. The first and second set of statistics may be for use in determining a query execution plan.
    Type: Grant
    Filed: August 23, 2016
    Date of Patent: July 4, 2017
    Assignee: International Business Machines Corporation
    Inventors: Rafal P. Konik, Roger A. Mittelstadt, Brian R. Muras, Chad A. Olstad
  • Generating and accessing a data table
    Patent number: 9679014
    Abstract: A data sharing space (DSS) is generated for a base table having a set of rows with stored data. Requests are received to generate tables, each request including a query to the base table. A row from the set of rows is then accessed. The query is then applied to the row to generate results. An index value is then determined and a portion of the row is stored in the DSS based on the index value.
    Type: Grant
    Filed: August 25, 2014
    Date of Patent: June 13, 2017
    Assignee: International Business Machines Corporation
    Inventors: Rafal P. Konik, Roger A. Mittelstadt, Brian R. Muras, Mark W. Theuer
  • Generating and accessing a data table
    Patent number: 9679013
    Abstract: A data sharing space (DSS) is generated for a base table having a set of rows with stored data. Requests are received to generate tables, each request including a query to the base table. A row from the set of rows is then accessed. The query is then applied to the row to generate results. An index value is then determined and a portion of the row is stored in the DSS based on the index value.
    Type: Grant
    Filed: June 12, 2014
    Date of Patent: June 13, 2017
    Assignee: International Business Machines Corporation
    Inventors: Rafal P. Konik, Roger A. Mittelstadt, Brian R. Muras, Mark W. Theuer
  • STREAMS: INTELLIGENT OPERATOR SUBSET FOR DEBUG
    Publication number: 20170153966
    Abstract: Techniques are disclosed for identifying a minimal operator subsets in a distributed streams application for debugging purposes. A debugging tool receives a selection of operators from a plurality of operators included in a distributed application. The distributed application executes the plurality of operators in a runtime environment. The debugging tool identifies, based on the selected operators, a subset of the plurality of operators to execute in a debugging environment. The subset includes at least the selected operators. The debugging tool executes the subset of the plurality of operators in the debugging environment.
    Type: Application
    Filed: December 1, 2015
    Publication date: June 1, 2017
    Inventors: Bin CAO, Jessica R. EIDEM, Brian R. MURAS, Jingdong SUN
  • QUERY HINT MANAGEMENT FOR A DATABASE MANAGEMENT SYSTEM
    Publication number: 20170132286
    Abstract: Disclosed aspects relate to query hint management for a database management system. With respect to a hint for a query, a set of hint profile data is established. The database management system detects a triggering event. Based on the set of hint profile data, the database management system determines to perform a hint action in response to the triggering event. Performance of the hint action is initiated.
    Type: Application
    Filed: November 9, 2015
    Publication date: May 11, 2017
    Inventors: Shawn J. Baranczyk, Rafal P. Konik, Roger A. Mittelstadt, Brian R. Muras
  • ADAPTIVE OPTIMIZATION OF A COMPUTER DATABASE JOURNAL
    Publication number: 20170116248
    Abstract: A journal optimizer in a computer database system with an adaptive journal mechanism. The adaptive journal mechanism dynamically adjusts adaptive parameters of the journal optimizer to optimize the journal based on one or more journal conditions to more efficiently utilize system resources. The adaptive parameters used to adapt the optimization include aggressiveness parameters and the location of the optimizer, where the aggressiveness parameters specify the intensity of optimization of the journal by the journal optimizer. For example, the adaptive journal mechanism may dynamically adjust an adaptive parameter of the optimizer to increase optimization of the journal when the resource utilization indicates the resources are underutilized and decrease optimization of the journal when the resource utilization indicates resources are strained.
    Type: Application
    Filed: March 1, 2016
    Publication date: April 27, 2017
    Inventors: Rafal P. Konik, Roger A. Mittelstadt, Brian R. Muras, Chad A. Olstad
  • ADAPTIVE OPTIMIZATION OF A COMPUTER DATABASE JOURNAL
    Publication number: 20170116086
    Abstract: A journal optimizer in a computer database system with an adaptive journal mechanism. The adaptive journal mechanism dynamically adjusts adaptive parameters of the journal optimizer to optimize the journal based on one or more journal conditions to more efficiently utilize system resources. The adaptive parameters used to adapt the optimization include aggressiveness parameters and the location of the optimizer, where the aggressiveness parameters specify the intensity of optimization of the journal by the journal optimizer. For example, the adaptive journal mechanism may dynamically adjust an adaptive parameter of the optimizer to increase optimization of the journal when the resource utilization indicates the resources are underutilized and decrease optimization of the journal when the resource utilization indicates resources are strained.
    Type: Application
    Filed: October 26, 2015
    Publication date: April 27, 2017
    Inventors: Rafal P. Konik, Roger A. Mittelstadt, Brian R. Muras, Chad A. Olstad
  • Mission tuples in a streaming application environment
    Patent number: 9635084
    Abstract: Tuple communication and decision determination is provided in a streaming environment. A processor: generates mission tuples, places the mission tuples in a computing stream of a stream application, accesses computing time upon, obtains the computing time of the mission tuples, determines: a current position in the computing stream for the mission tuples and a class and one or more sub-classes that each of the mission tuples belongs to, and communicates data: between the mission tuples and between the mission tuples and one or more runtime processes associated with the computing stream or one or more external processes associated with the computing stream. The mission tuples are configured to modify operations of the computing operators in the computing stream.
    Type: Grant
    Filed: September 16, 2016
    Date of Patent: April 25, 2017
    Assignee: International Business Machines Corporation
    Inventors: Bin Cao, Jessica R. Eidem, Brian R. Muras, Jingdong Sun
  • Run to end of an execution pattern in a software debugger
    Patent number: 9632908
    Abstract: Techniques are described for a run to end of execution pattern in a software debugger. In one example, a method includes identifying a pattern of stop events in a program. The method further includes executing the program in a debugger, wherein executing the program includes encountering a stop event, determining if the stop event is part of the pattern of stop events, and ignoring the stop event in response to determining that the stop event is part of the pattern of stop events.
    Type: Grant
    Filed: January 4, 2016
    Date of Patent: April 25, 2017
    Assignee: International Business Machines Corporation
    Inventors: Cary L. Bates, Brian R. Muras
  • Managing stream components based on virtual machine performance adjustments
    Patent number: 9626208
    Abstract: Embodiments of the disclosure include a method, a system, and a computer program product for modifying a stream operator based on the virtual resources. The method includes receiving a first resource allocation and a second resource allocation of a virtual resource for a virtual machine supporting a stream computing application. The method also includes determining whether the second resource allocation changed within a tolerance relative to the first resource allocation. The method also includes identifying a stream operator in the stream computing application using the virtual resource of the virtual machine. The method also includes modifying the stream operator to accommodate the second resource allocation in response to the second resource allocation changing relative to the first resource allocation.
    Type: Grant
    Filed: May 7, 2014
    Date of Patent: April 18, 2017
    Assignee: International Business Machines Corporation
    Inventors: Bin Cao, Jessica R. Eidem, Brian R. Muras, Jingdong Sun
  • QUERY PLAN BASED ON A DATA STORAGE RELATIONSHIP
    Publication number: 20170103104
    Abstract: Disclosed aspects include the database management system detecting that a first data storage medium includes a first set of data of a database. The first data storage medium has a first access-factor. The database management system detects that a second data storage medium includes a second set of data of the database. The second data storage medium has a second access-factor which differs from the first access-factor. Based on a data storage relationship, the database management system determines a query plan to access both the first set of data with respect to the first data storage medium and the second set of data with respect to the second data storage medium. The database management system establishes the query plan.
    Type: Application
    Filed: October 7, 2015
    Publication date: April 13, 2017
    Inventors: Eric L. Barsness, Brian R. Muras, John M. Santosuosso
  • QUERY PLAN BASED ON A DATA STORAGE RELATIONSHIP
    Publication number: 20170103105
    Abstract: Disclosed aspects include the database management system detecting that a first data storage medium includes a first set of data of a database. The first data storage medium has a first access-factor. The database management system detects that a second data storage medium includes a second set of data of the database. The second data storage medium has a second access-factor which differs from the first access-factor. Based on a data storage relationship, the database management system determines a query plan to access both the first set of data with respect to the first data storage medium and the second set of data with respect to the second data storage medium. The database management system establishes the query plan.
    Type: Application
    Filed: March 20, 2016
    Publication date: April 13, 2017
    Inventors: Eric L. Barsness, Brian R. Muras, John M. Santosuosso
  • Managed services coordinator
    Patent number: 9612865
    Abstract: A method is provided for applying tasks. The method can include receiving a plurality of tasks for a plurality of applications, an application of the plurality of applications is hosted by a computing environment utilizing a monitoring agent, and a task is performed for an operation of the application during a first period of time. The method can also include determining a first resource type and a first resource amount from the computing environment for performing the task. The method can also include grouping the plurality of tasks into a set of tasks based on the first resource type, at least two tasks from the set of tasks being performable in parallel during the first period of time. The method can also include determining whether the first resource amount of the first resource type is present in the computing environment during the first period of time.
    Type: Grant
    Filed: June 15, 2015
    Date of Patent: April 4, 2017
    Assignee: International Business Machines Corporation
    Inventors: Bin Cao, Daniel L. Hiebert, Brian R. Muras, Tanveer Zubair
  • SMART TUPLE RESOURCE ESTIMATION
    Publication number: 20170091284
    Abstract: A stream application receives a stream of tuples to be processed by a plurality of processing elements. The plurality of processing elements operate on one or more compute nodes. Each processing element has one or more stream operators. Segments of software code are embedded in a tuple of the stream of tuples. The tuple retrieves one or more compute node metrics. The compute node metrics describe one or more resources of a first compute node. The tuple obtains tuple information of one or more tuples of the stream of tuples to be processed by a first stream operator that operates on the one or more resources. The tuple determines a prospective resource disparity related to the first stream operator based on the obtained tuple information and the compute node metrics. The tuple transmits a resource request to the stream application based on the determined prospective resource disparity.
    Type: Application
    Filed: September 30, 2015
    Publication date: March 30, 2017
    Inventors: Bin Cao, Jessica R. Eidem, Brian R. Muras, Jingdong Sun
  • SMART TUPLE DYNAMIC GROUPING OF TUPLES
    Publication number: 20170091286
    Abstract: A stream application receives a stream of tuples to be processed by a plurality of processing elements. The plurality of processing elements operating on one or more compute nodes. Each processing element has one or more stream operators. The stream application assigns one or more processing cycles to one or more segments of software code. The segments of software code are embedded in a tuple of the stream of tuples. The software-embedded tuple identifies a set of target tuples based upon operation criteria. The set of target tuples are a part of the stream of tuples. The software-embedded tuple performs an operation based on the set of identified target tuples.
    Type: Application
    Filed: November 6, 2015
    Publication date: March 30, 2017
    Inventors: Bin Cao, Jessica R. Eidem, Brian R. Muras, Jingdong Sun
  • SMART TUPLE CONDITION-BASED OPERATION PERFORMANCE
    Publication number: 20170091283
    Abstract: A stream application receives a stream of tuples to be processed by a plurality of processing elements operating on one or more compute nodes. Each processing element has one or more stream operators. The stream application assigns one or more processing cycles to one or more segments of software code. The segments of software code are embedded in one or more tuples of the stream of tuples. The stream application determines that a condition is met based on the processing cycles. The stream application performs an operation based on the processing cycles.
    Type: Application
    Filed: September 30, 2015
    Publication date: March 30, 2017
    Inventors: Bin Cao, Jessica R. Eidem, Brian R. Muras, Jingdong Sun
  • SMART TUPLE DYNAMIC GROUPING OF TUPLES
    Publication number: 20170091305
    Abstract: A stream application receives a stream of tuples to be processed by a plurality of processing elements. The plurality of processing elements operating on one or more compute nodes. Each processing element has one or more stream operators. The stream application assigns one or more processing cycles to one or more segments of software code. The segments of software code are embedded in a tuple of the stream of tuples. The software-embedded tuple identifies a set of target tuples based upon operation criteria. The set of target tuples are a part of the stream of tuples. The software-embedded tuple performs an operation based on the set of identified target tuples.
    Type: Application
    Filed: September 30, 2015
    Publication date: March 30, 2017
    Inventors: Bin Cao, Jessica R. Eidem, Brian R. Muras, Jingdong Sun
  • SMART TUPLE STREAM ALTERATION
    Publication number: 20170091285
    Abstract: A stream application receives a stream of tuples to be processed by a plurality of processing elements that are operating on one or more compute nodes. Each processing element has one or more stream operators. The stream application assigns one or more processing cycles to software code embedded in a tuple of the stream of tuples. The tuple obtains a first status of one or more first tuples of a set of targeted tuples to be modified by a tuple modification of a stream operator. The tuple obtains a second status of one or more second tuples of the set of targeted tuples after the stream operator performs the tuple modification. The tuple determines a potential degradation based on the first status and the second status. The tuple alters the one or more first tuples to prevent the tuple modification in response to the determined potential degradation.
    Type: Application
    Filed: September 30, 2015
    Publication date: March 30, 2017
    Inventors: Bin Cao, Jessica R. Eidem, Brian R. Muras, Jingdong Sun