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公开(公告)号：US12061878B2
公开(公告)日：2024-08-13
申请号：US18141506
申请日：2023-05-01
Applicant: Dynatrace LLC
Inventor： Otmar Ertl
IPC: G06F16/00 , G06F7/58 , G06F16/14 , G06F18/2113 , G06F18/22
CPC classification number: G06F7/582 , G06F16/152 , G06F18/2113 , G06F18/22
Abstract: A system and method for the creation of locality sensitive hash signatures using weighted feature sets is disclosed. The disclosed methodology takes advantage of discretization mechanisms commonly used in computer systems to model the influence of the feature weights on the calculated hash signature. Pseudo random numbers required for the signature calculation are created in ascending order, which enables the signature generation mechanism to identify and avoid the unnecessary creation of pseudo random numbers to improve the performance of the signature calculation process. Further, hierarchic, tree-search like algorithms are used during the processing of signature weights to further decrease the number of required random numbers. The features of the Poisson Process model, like its ability to provide random numbers in ascending order and the split—and mergeability of Poisson Processes are used to further improve the performance of the signature calculation process.
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公开(公告)号：US11645043B2
公开(公告)日：2023-05-09
申请号：US16786992
申请日：2020-02-10
Applicant: Dynatrace LLC
Inventor： Otmar Ertl
CPC classification number: G06F16/152 , G06F7/582 , G06K9/623 , G06K9/6215
Abstract: A system and method for the creation of locality sensitive hash signatures using weighted feature sets is disclosed. The disclosed methodology takes advantage of discretization mechanisms commonly used in computer systems to model the influence of the feature weights on the calculated hash signature. Pseudo random numbers required for the signature calculation are created in ascending order, which enables the signature generation mechanism to identify and avoid the unnecessary creation of pseudo random numbers to improve the performance of the signature calculation process. Further, hierarchic, tree-search like algorithms are used during the processing of signature weights to further decrease the number of required random numbers. The features of the Poisson Process model, like its ability to provide random numbers in ascending order and the split- and mergeability of Poisson Processes are used to further improve the performance of the signature calculation process.
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公开(公告)号：US10664837B2
公开(公告)日：2020-05-26
申请号：US15227029
申请日：2016-08-03
Applicant: Dynatrace LLC
Inventor： Bernd Greifeneder , Otmar Ertl , Herwig Moser , Ernst Ambichl , Helmut Spiegl
Abstract: A system and method is disclosed that analyzes a set of historic transaction traces to identify an optimized set of transaction clusters with the highest transaction frequency. The transaction clusters are defined according to multiple parameters describing the execution context of the analyzed transactions. The transaction clusters are described by coordinates in a multidimensional, hierarchical classification space. Descriptive statistical data is extracted from historic transactions corresponding to previously identified transaction clusters and stored as reference data. Transaction trace data from currently executed transactions is analyzed to find a best matching historic transaction cluster. The current transaction traces are grouped according to their corresponding historic transaction cluster. Statistical data is extracted from those groups of current transaction trace and statistical test are performed that compare current and historic data on a per historic transaction cluster basis to identify deviations in performance and functional behavior of current and historic transactions.
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公开(公告)号：US20250156416A1
公开(公告)日：2025-05-15
申请号：US18938570
申请日：2024-11-06
Applicant: Dynatrace LLC
Inventor： Thomas Krismayer , Otmar Ertl
IPC: G06F16/2453 , G06F16/22
Abstract: A computer-implemented method is presented for determining primary keys in a table of a database system. The method includes: determining a number of rows in the table; for a given column of the table, generating a probabilistic data structure for the given column, where the probabilistic data structure is partitioned into a plurality of registers and configuration parameters for the probabilistic data structure includes a first recording parameter, base, that controls recording of data into the probabilistic data structure; computing a cardinality estimate for the given column using the probabilistic data structure; computing a ratio between the cardinality estimate for the given column and the number of rows in the table; comparing the ratio to a threshold; and designating the given column as a primary key for the table in response to the ratio being greater than the threshold.
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公开(公告)号：US12204431B2
公开(公告)日：2025-01-21
申请号：US17733105
申请日：2022-04-29
Applicant: Dynatrace LLC
Inventor： Herwig Moser , Martin Carpella , Otmar Ertl
Abstract: Technologies are disclosed for the automated, rule-based generation of models from arbitrary, semi-structured observation data. Context data of received observation data, like data describing the location of on which a phenomenon was observed, is used to identify related observations, to generate entities in a model describing the observed data and to assign observations to model data. Mapping rules may be used for the on-demand generation of models, and different sets of mapping rules may be used to generate different models out of the same observation data for different purposes. Further, observation time data may be used to observer the temporal evolution of the generated model. Possible use cases of the so generated models include the interpretation of observation data that describes unexpected operation conditions in view of the generated model, or to determine how a monitored system reacts on changing conditions, like increased load.
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Patent Agency Ranking
公开(公告)号：US11863632B2
公开(公告)日：2024-01-02
申请号：US17992999
申请日：2022-11-23
Applicant: Dynatrace LLC
Inventor： Bernhard Lackner , Jordi Masramon , Otmar Ertl , Alfonso Corretti
IPC: H04L67/146 , H04L67/50
CPC classification number: H04L67/146 , H04L67/535
Abstract: A technology is disclosed for the browser side capturing of user interaction session data and replay of the session data for a high-fidelity reconstruction of the experience the user perceived. In addition to capturing central structuring and markup documents and browser side updates thereof, additional resource documents that are loaded and used by the browser to render the central documents are captured and added to the session recording data. Identification information is created for resource documents, based on the content of those documents, which allows the capturing system to distinguish different versions of those content documents that share the same name but have different content. The captured session data contains data to identify the correct versions of resource documents during replay. Various measures to reduce the amount of transferred resource content data are applied, that consider already captured resource document versions or the usage frequency of a monitored application.
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公开(公告)号：US11561954B2
公开(公告)日：2023-01-24
申请号：US17358170
申请日：2021-06-25
Applicant: Dynatrace LLC
Inventor： Otmar Ertl
Abstract: A system and method for the estimation of the cardinality of large sets of transaction trace data is disclosed. The estimation is based on HyperLogLog data sketches that are capable to store cardinality relevant data of large sets with low and fixed memory requirements. The disclosure contains improvements to the known analysis methods for HyperLogLog data sketches that provide improved relative error behavior by eliminating a cardinality range dependent bias of the relative error. A new analysis method for HyperLogLog data structures is shown that uses maximum likelihood analysis methods on a Poisson based approximated probability model. In addition, a variant of the new analysis model is disclosed that uses multiple HyperLogLog data structured to directly provide estimation results for set operations like intersections or relative complement directly from the HyperLogLog input data.
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公开(公告)号：US12160503B2
公开(公告)日：2024-12-03
申请号：US18376882
申请日：2023-10-05
Applicant: Dynatrace LLC
Inventor： Otmar Ertl , Edyta Kalka
Abstract: A system and method for the analysis of log data is presented. The system uses SuperMinHash based locality sensitive hash signatures to describe the similarity between log lines. Signatures are created for incoming log lines and stored in signature indexes. Later similarity queries use those indexes to improve the query performance. The SuperMinHash algorithm uses a two staged approach to determine signature values, one stage uses a first random number to calculate the index of the signature value that is to update. The two staged approach improves the accuracy of the produced similarity estimation data for small sized signatures. The two staged approach may further be used to produce random numbers that are related, e.g. each created random number may be larger than its predecessors. This relation is used to optimize the algorithm by determining and terminating when further created random numbers have no influence on the created signature.
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公开(公告)号：US11804952B2
公开(公告)日：2023-10-31
申请号：US17887079
申请日：2022-08-12
Applicant: Dynatrace LLC
Inventor： Otmar Ertl , Edyta Kalka
CPC classification number: H04L9/0643 , G06F7/582 , G06F7/588 , G06F11/3068 , G06F11/3082 , H04L9/0869 , H04L9/3247
Abstract: A system and method for the analysis of log data is presented. The system uses SuperMinHash based locality sensitive hash signatures to describe the similarity between log lines. Signatures are created for incoming log lines and stored in signature indexes. Later similarity queries use those indexes to improve the query performance. The SuperMinHash algorithm uses a two staged approach to determine signature values, one stage uses a first random number to calculate the index of the signature value that is to update. The two staged approach improves the accuracy of the produced similarity estimation data for small sized signatures. The two staged approach may further be used to produce random numbers that are related, e.g. each created random number may be larger than its predecessors. This relation is used to optimize the algorithm by determining and terminating when further created random numbers have no influence on the created signature.
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公开(公告)号：US11431475B2
公开(公告)日：2022-08-30
申请号：US16440439
申请日：2019-06-13
Applicant: Dynatrace LLC
Inventor： Otmar Ertl , Edyta Kalka
Abstract: A system and method for the analysis of log data is presented. The system uses SuperMinHash based locality sensitive hash signatures to describe the similarity between log lines. Signatures are created for incoming log lines and stored in signature indexes. Later similarity queries use those indexes to improve the query performance. The SuperMinHash algorithm uses a two staged approach to determine signature values, one stage uses a first random number to calculate the index of the signature value that is to update. The two staged approach improves the accuracy of the produced similarity estimation data for small sized signatures. The two staged approach may further be used to produce random numbers that are related, e.g. each created random number may be larger than its predecessors. This relation is used to optimize the algorithm by determining and terminating when further created random numbers have no influence on the created signature.
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