公开(公告)号：US20140172867A1

公开(公告)日：2014-06-19

申请号：US13716560

申请日：2012-12-17

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Jerry Lin ,  Kareem Sherif Aggour ,  Brian Scott Courtney ,  John Alan Interrante ,  Christina Ann LaComb ,  Sunil Mathur ,  Christopher Thomas McConnell ,  Quinn Snell

IPC: G06F17/30

CPC classification number: G06F17/30477 ,  G06F17/30336 ,  G06F17/30424 ,  G06F17/30545 ,  G06F17/30584

Abstract: A method for performing queries on a distributed time series data storage system is presented. The time series data storage system has a time series database that stores data blocks containing time stamped data across a plurality of computing devices. The system also includes an index database that stores an index associated with the time stamped data in each data block. The method includes the steps of sending a query, requesting indices, returning the indices, preparing a sub-query, forwarding the sub-query to an evaluator, evaluating the sub-query, performing a logical operation on each sub-query's result, receiving the sub-results at an output handler, and combining the sub-results.

Abstract translation: 提出了一种在分布式时间序列数据存储系统上执行查询的方法。 时间序列数据存储系统具有时间序列数据库，其存储跨越多个计算装置的包含时间戳数据的数据块。 该系统还包括索引数据库，其存储与每个数据块中的时间戳数据相关联的索引。 该方法包括以下步骤：发送查询，请求索引，返回索引，准备子查询，将子查询转发给评估者，评估子查询，对每个子查询的结果执行逻辑运算，接收 在输出处理程序中的子结果，并组合子结果。

公开(公告)号：US10997187B2

公开(公告)日：2021-05-04

申请号：US16282643

申请日：2019-02-22

Applicant: General Electric Company

Inventor： Kareem Sherif Aggour ,  Paul Cuddihy ,  Vijay Shiv Kumar ,  Jenny Marie Weisenberg Williams ,  Anthony Joseph Vinciquerra

IPC: G06F16/2458 ,  G06F16/907 ,  G06F16/9038 ,  G06N20/00 ,  G06F16/25 ,  G06N5/02

Abstract: A system for querying a federated data store includes a metadata knowledge graph describing the contents and relationships among one or more underlying data stores, an interactive user interface receiving requests from a data consumer, a predefined constrainable query (‘nodegroup’) store containing predefined constrainable queries that define data subsets of interest across one or more of the underlying data repositories, a knowledge-driven querying layer generating and executing queries against the federated data store and merging responsive results, a scalable analytic execution layer receiving the search results from the federated data store and applying machine learning/artificial intelligence techniques to analyze the results, and a user interface presenting visualizations of raw or analyzed results to the consumer. A method and a non-transitory computer-readable medium are also disclosed.

公开(公告)号：US10963518B2

公开(公告)日：2021-03-30

申请号：US16282684

申请日：2019-02-22

Applicant: General Electric Company

Inventor： Kareem Sherif Aggour ,  Paul Cuddihy ,  Vijay Shiv Kumar ,  Jenny Marie Weisenberg Williams ,  Anthony Joseph Vinciquerra

IPC: G06F16/9038 ,  G06F16/2458 ,  G06F16/907 ,  G06N5/00

Abstract: A system to generate and run federated queries against a plurality of data stores storing disparate data types, the system including a user interface receiving query details from a data consumer, a metadata knowledge graph containing metadata for links and relationships of the data stores, a knowledge-driven querying layer accessing the graph and selecting predefined constrainable queries from a nodegroup store and applying the metadata links/relationships to the predefined constrainable queries to assemble subqueries, a query and analysis platform providing the subqueries to some of the data stores for execution, a scalable analytic execution layer receiving and aggregating search results from the data stores into a merged search result and/or obtaining analytic results by applying machine learning and artificial intelligence techniques to the distributed data, the user interface presenting visualizations generated from the merged search results, and/or the analytic results. A system and a non-transitory computer-readable medium are also disclosed.

公开(公告)号：US10929771B2

公开(公告)日：2021-02-23

申请号：US15351860

申请日：2016-11-15

Applicant: General Electric Company

Inventor： Helena Goldfarb ,  Kareem Sherif Aggour ,  Achalesh Pandey ,  Vijay Shiv Kumar ,  Gerald Wise

IPC: G06Q10/06 ,  G06N20/00 ,  G06Q10/04

Abstract: According to some embodiments, system and methods for building a model are provided, comprising a display; a memory storing processor-executable process steps; and a processor to execute the processor-executable process steps to cause the system to: present a user interface on a display, the user interface including one or more user-entry fields to build a model, user-entry fields is associated with a selection of big data or small data for use with the model; receive at least one data source in a user-entry field associated with the model; determine if data in the data source includes big data or small data; and in response to the determination of big data or small data in the data source, execute the model with data from the data source in a big data or small data execution environment. Numerous other aspects are provided.

公开(公告)号：US10268345B2

公开(公告)日：2019-04-23

申请号：US15354678

申请日：2016-11-17

Applicant: General Electric Company

Inventor： Kareem Sherif Aggour ,  Jenny Weisenberg Williams ,  Justin DeSpenza McHugh ,  Vijay Shiv Kumar

IPC: G06F15/16 ,  G06F3/0482 ,  G06F3/0484 ,  H04L12/26 ,  H04L12/24 ,  G06Q10/10 ,  G06F17/30 ,  G06T11/20

Abstract: According to some embodiments, system and methods for representing nodes and data flows in a network are provided, comprising providing a hierarchical taxonomy for one or more concepts; providing one or more hierarchical taxonomies for one or more boundary types, wherein one or more values from each boundary type are combined to form a definition of a boundary; and associating the at least one concept and at least one boundary with a transmission of data between a first node and a second node, wherein the transmitted data is a data flow. Numerous other aspects are provided.

公开(公告)号：US09852390B2

公开(公告)日：2017-12-26

申请号：US14297351

申请日：2014-06-05

Applicant: General Electric Company

Inventor： Kareem Sherif Aggour ,  Jenny Marie Weisenberg Williams

IPC: G06Q10/06

CPC classification number: G06Q10/06316

Abstract: Methods and systems for optimizing the configuration and parameters of a workflow using an evolutionary approach augmented with intelligent learning capabilities using a Big Data infrastructure. In an embodiment, a Big Data infrastructure receives workflow input parameters, an objective function, a pool of initial configuration parameters, and completion criteria from a client computer, and then runs multiple instances of a workflow based on the pool of initial configuration parameters resulting in corresponding output results. The process includes storing the workflow input parameters and the corresponding output results, modeling the relationship between changes in the workflow input parameters and the corresponding output results, determining that optimal output results have been achieved, and then transmitting the optimal output and the input-output variable relationships results to the client computer.

公开(公告)号：US09589031B2

公开(公告)日：2017-03-07

申请号：US14826807

申请日：2015-08-14

Applicant: General Electric Company

Inventor： Jerry Lin ,  Kareem Sherif Aggour ,  Brian Scott Courtney ,  John Alan Interrante ,  Christina Ann LaComb ,  Sunil Mathur ,  Christopher Thomas McConnell ,  Quinn Snell

IPC: G06F17/30

CPC classification number: G06F17/30551 ,  G06F17/30336 ,  G06F17/30424 ,  G06F17/30477 ,  G06F17/30545 ,  G06F17/30584

Abstract: A system for storing time series data includes an ingester that prepares metadata indices associated with blocks of incoming time series data and stores the blocks of data in a time series database and the indices in a separate index database. The time series database distributes storage of the data blocks among multiple data nodes. A query layer receives queries and uses the index database to determine which data blocks are needed to process the query, and then requests only those data blocks from the time series database. Processing of the query is performed within the time series database only on those data nodes that contain relevant data, and partial results are passed to an output layer for formation into a final query result.

Abstract translation: 用于存储时间序列数据的系统包括准备与输入的时间序列数据的块相关联的元数据索引并且将数据块存储在时间序列数据库中并且索引存储在单独的索引数据库中的创建器。 时间序列数据库在多个数据节点之间分配数据块的存储。 查询层接收查询并使用索引数据库来确定处理查询需要哪些数据块，然后仅从时间序列数据库中请求那些数据块。 查询的处理仅在时间序列数据库中仅在包含相关数据的那些数据节点上执行，部分结果将传递到输出层以形成最终查询结果。