Patents by Inventor Philipp A. Tölle

Philipp A. Tölle 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).

  • Isolation anomaly quantification through heuristical pattern detection
    Patent number: 10649977
    Abstract: In an approach for calculating a probability of a consistency violation of a transaction in a database management system, a processor receives a plurality of transactions within a predetermined time period. A processor identifies a first pattern in a first transaction of the plurality of transactions based on at least an isolation level of the transaction. A processor identifies a second pattern, wherein the second pattern is the cooperation between the first transaction and the second transaction. A processor determines that the first pattern of the first transaction substantially matches a preexisting pattern, wherein the preexisting pattern corresponds to values for a mathematical model for estimating a percentage of transactions in violation of consistency criteria. A processor extracts values from the first transaction based on the determined preexisting pattern. A processor calculates the mathematical model using the values from the first transaction and the values from the preexisting pattern.
    Type: Grant
    Filed: November 2, 2017
    Date of Patent: May 12, 2020
    Assignee: International Business Machines Corporation
    Inventors: Thomas H. Gnech, Steffen Koenig, Philipp A. Tölle
  • ISOLATION ANOMALY QUANTIFICATION THROUGH HEURISTICAL PATTERN DETECTION
    Publication number: 20180081925
    Abstract: In an approach for calculating a probability of a consistency violation of a transaction in a database management system, a processor receives a plurality of transactions within a predetermined time period. A processor identifies a first pattern in a first transaction of the plurality of transactions based on at least an isolation level of the transaction. A processor identifies a second pattern, wherein the second pattern is the cooperation between the first transaction and the second transaction. A processor determines that the first pattern of the first transaction substantially matches a preexisting pattern, wherein the preexisting pattern corresponds to values for a mathematical model for estimating a percentage of transactions in violation of consistency criteria. A processor extracts values from the first transaction based on the determined preexisting pattern. A processor calculates the mathematical model using the values from the first transaction and the values from the preexisting pattern.
    Type: Application
    Filed: October 20, 2015
    Publication date: March 22, 2018
    Inventors: Thomas H. Gnech, Steffen Koenig, Philipp A. Tölle
  • Isolation anomaly quantification through heuristical pattern detection
    Patent number: 9922071
    Abstract: In an approach for calculating a probability of a consistency violation of a transaction in a database management system, a processor receives a plurality of transactions within a predetermined time period. A processor identifies a first pattern in a first transaction of the plurality of transactions based on at least an isolation level of the transaction. A processor identifies a second pattern, wherein the second pattern is the cooperation between the first transaction and the second transaction. A processor determines that the first pattern of the first transaction substantially matches a preexisting pattern, wherein the preexisting pattern corresponds to values for a mathematical model for estimating a percentage of transactions in violation of consistency criteria. A processor extracts values from the first transaction based on the determined preexisting pattern. A processor calculates the mathematical model using the values from the first transaction and the values from the preexisting pattern.
    Type: Grant
    Filed: October 20, 2015
    Date of Patent: March 20, 2018
    Assignee: International Business Machines Corporation
    Inventors: Thomas H. Gnech, Steffen Koenig, Philipp A. Tölle
  • Isolation anomaly quantification through heuristical pattern detection
    Patent number: 9910882
    Abstract: In an approach for calculating a probability of a consistency violation of a transaction in a database management system, a processor receives a plurality of transactions within a predetermined time period. A processor identifies a first pattern in a first transaction of the plurality of transactions based on at least an isolation level of the transaction. A processor identifies a second pattern, wherein the second pattern is the cooperation between the first transaction and the second transaction. A processor determines that the first pattern of the first transaction substantially matches a preexisting pattern, wherein the preexisting pattern corresponds to values for a mathematical model for estimating a percentage of transactions in violation of consistency criteria. A processor extracts values from the first transaction based on the determined preexisting pattern. A processor calculates the mathematical model using the values from the first transaction and the values from the preexisting pattern.
    Type: Grant
    Filed: December 19, 2014
    Date of Patent: March 6, 2018
    Assignee: International Business Machines Corporation
    Inventors: Thomas H. Gnech, Steffen Koenig, Philipp A. Tölle
  • ISOLATION ANOMALY QUANTIFICATION THROUGH HEURISTICAL PATTERN DETECTION
    Publication number: 20180052882
    Abstract: In an approach for calculating a probability of a consistency violation of a transaction in a database management system, a processor receives a plurality of transactions within a predetermined time period. A processor identifies a first pattern in a first transaction of the plurality of transactions based on at least an isolation level of the transaction. A processor identifies a second pattern, wherein the second pattern is the cooperation between the first transaction and the second transaction. A processor determines that the first pattern of the first transaction substantially matches a preexisting pattern, wherein the preexisting pattern corresponds to values for a mathematical model for estimating a percentage of transactions in violation of consistency criteria. A processor extracts values from the first transaction based on the determined preexisting pattern. A processor calculates the mathematical model using the values from the first transaction and the values from the preexisting pattern.
    Type: Application
    Filed: November 2, 2017
    Publication date: February 22, 2018
    Inventors: Thomas H. Gnech, Steffen Koenig, Philipp A. Tölle
  • ISOLATION ANOMALY QUANTIFICATION THROUGH HEURISTICAL PATTERN DETECTION
    Publication number: 20170109397
    Abstract: In an approach for calculating a probability of a consistency violation of a transaction in a database management system, a processor receives a plurality of transactions within a predetermined time period. A processor identifies a first pattern in a first transaction of the plurality of transactions based on at least an isolation level of the transaction. A processor identifies a second pattern, wherein the second pattern is the cooperation between the first transaction and the second transaction. A processor determines that the first pattern of the first transaction substantially matches a preexisting pattern, wherein the preexisting pattern corresponds to values for a mathematical model for estimating a percentage of transactions in violation of consistency criteria. A processor extracts values from the first transaction based on the determined preexisting pattern. A processor calculates the mathematical model using the values from the first transaction and the values from the preexisting pattern.
    Type: Application
    Filed: October 20, 2015
    Publication date: April 20, 2017
    Inventors: Thomas H. Gnech, Steffen Koenig, Philipp A. Tölle
  • ISOLATION ANOMALY QUANTIFICATION THROUGH HEURISTICAL PATTERN DETECTION
    Publication number: 20160179827
    Abstract: In an approach for calculating a probability of a consistency violation of a transaction in a database management system, a processor receives a plurality of transactions within a predetermined time period. A processor identifies a first pattern in a first transaction of the plurality of transactions based on at least an isolation level of the transaction. A processor identifies a second pattern, wherein the second pattern is the cooperation between the first transaction and the second transaction. A processor determines that the first pattern of the first transaction substantially matches a preexisting pattern, wherein the preexisting pattern corresponds to values for a mathematical model for estimating a percentage of transactions in violation of consistency criteria. A processor extracts values from the first transaction based on the determined preexisting pattern. A processor calculates the mathematical model using the values from the first transaction and the values from the preexisting pattern.
    Type: Application
    Filed: December 19, 2014
    Publication date: June 23, 2016
    Inventors: Thomas H. Gnech, Steffen Koenig, Philipp A. Tölle