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Method and system for dynamically maintaining data structures

A data structure and data maintenance technology, applied in multidimensional databases, transmission systems, database models, etc., can solve problems such as limiting the level of data merging and constraints on implementation methods

Active Publication Date: 2019-05-10
INT BUSINESS MASCH CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

One way these integration requirements have been addressed is by providing a dedicated monitoring solution for a specific SCADA vendor; however, this limits the level of data consolidation to upper layers in the system stack and ties the implementation to a specific Technology Provider's Version

Method used

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  • Method and system for dynamically maintaining data structures
  • Method and system for dynamically maintaining data structures
  • Method and system for dynamically maintaining data structures

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Embodiment Construction

[0022] The description of various embodiments of the present invention has been presented for purposes of illustration only, and is not intended to be exhaustive or limited to the disclosed embodiments. Various modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments. The terminology used herein was chosen to best explain the principles of the various embodiments, the practical application or technical improvement over technologies found in the marketplace, or to enable others skilled in the art to understand the various embodiments disclosed herein. Example.

[0023] figure 1 A computing environment for a distributed data acquisition system is shown in block diagram form, according to some embodiments. Distributed data collection clients (“clients”) 110 and distributed data collection clients (“clients”) 130 are coupled to central server 150 . An ellipsis between clients 110 and 130 i...

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Abstract

Methods and systems for dynamically maintaining data structures. Techniques are provided for dynamically maintaining data structures driven by heterogeneous clients in a distributed data acquisition system. In response to determining that the client-specific data structure is modified in a source coupled to each of the plurality of clients, at each of the plurality of clients, from the generating a metadata specification for the attribute's data structure metadata; and generating a data-driven structure definition from the metadata specification at each of the plurality of clients, wherein the data-driven structure definition from each of the plurality of clients Structure definitions will be aggregated to form a common data model in a central server.

Description

technical field [0001] Embodiments of the invention relate to dynamically maintaining data structures driven by heterogeneous clients in a distributed data collection system. Background technique [0002] There are challenges with data model scalability for distributed data acquisition systems. A data model can be described as represented by the concepts of the data structures required by the system. Data model extensibility is a characteristic of a data model and defines the extent to which the logical design of the data model can include additional properties into existing data structures. A distributed data acquisition system can be described as a system specially developed to measure, collect and aggregate data of interest. Distributed data acquisition systems distribute their dedicated data acquisition processing logic to different components with the purpose of distributing the data processing load and providing data acquisition logic specific to the target data sour...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L29/08
CPCH04L67/10H04L67/12H04L67/561H04W4/60G06F16/212G06F16/254G06F16/283
Inventor J·D·布莱克A·科德斯T·A·弗莱彻S·J·李S·萨德雅W·C·塞克勒
Owner INT BUSINESS MASCH CORP
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