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Statistical function distributed execution method and system for edge computing

A technology of statistical functions and execution methods, applied in the field of the Internet of Things, can solve problems such as the complexity of data resource collection process, system instability, and device heterogeneity, and achieve the effect of solving network bandwidth bottlenecks and high execution efficiency

Active Publication Date: 2019-08-30
INST OF COMPUTING TECH CHINESE ACAD OF SCI
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Problems solved by technology

[0006] In order to solve the technical problems caused by equipment heterogeneity, system instability and the complexity of the data resource collection process faced by distributed parallel computing in the above IoT edge computing scenario, the present invention uses edge computing with low latency and fast response Based on the advantages of statistical functions, which is a basic and widely used data processing process, a distributed execution method of statistical functions for edge computing is proposed.

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  • Statistical function distributed execution method and system for edge computing
  • Statistical function distributed execution method and system for edge computing
  • Statistical function distributed execution method and system for edge computing

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Embodiment Construction

[0024] In order to make the technical solution of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings. It should be understood that the specific examples described here are only used to explain the present invention and not limit the present invention.

[0025]The existing traditional distributed parallel computing method is mainly composed of two parts: "mapping" and "induction", which are mainly oriented to homogeneous computing nodes, and the master node is responsible for task allocation and management. In the application environment of the Internet of Things system, heterogeneous devices are ubiquitous, and it is difficult for a master node to control all heterogeneous Internet of Things devices. The frequent network communication between a large number of Internet of Things devices and the master node will also make the network environment Even worse, exacerbating network bandwidth bo...

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Abstract

The invention relates to a statistical function distributed execution method for edge computing, which comprises the following steps of: registering Internet of Things equipment as a leaf node of an Internet of Things system through an edge gateway of the Internet of Things system; caching data resources collected by the leaf node to the edge gateway; sending a query request for the data resourcestatistical value sent by a user to a cloud server of the Internet of Things system in a URL expression form; enabling the cloud server to carry out address mapping on the query request and forward the query request to a corresponding edge gateway; selecting corresponding data resources from the cache data stored in the edge gateway and returning the selected data resources to the cloud server; and arranging the intermediate result at the cloud server to obtain a statistical result and feeding the statistical result back to the user.

Description

technical field [0001] The present invention relates to the field of the Internet of Things, in particular to a method and system for distributed execution of statistical functions suitable for the edge computing environment of the Internet of Things. Background technique [0002] With the development of the Internet of Things market, the number of Internet of Things devices continues to increase, and network bandwidth has gradually become the bottleneck of the development of the Internet of Things system. In the current IoT applications, the collection, transmission and processing of large amounts of data are the core functions of the IoT system, and the calculation of statistical functions is one of the foundations of IoT data processing. The calculation results of real-time statistical functions can be applied in intelligent calculations such as machine learning to improve the intelligence level of the Internet of Things system. The calculation process of statistical fun...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/08
CPCH04L67/02H04L67/10H04L67/1097H04L67/125
Inventor 李栋廖伟源
Owner INST OF COMPUTING TECH CHINESE ACAD OF SCI
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