Embedded Edge Computing Platform Resource Configuration Method
An edge computing and resource allocation technology, applied in the direction of electrical components, database distribution/replication, transmission systems, etc., can solve problems such as limited, non-established implementation standards, and inappropriate deployment of heavyweight system services, so as to reduce communication transmission, Effects that are easy to machine parse and generate, easy to read and write
Active Publication Date: 2021-12-07
10TH RES INST OF CETC
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Problems solved by technology
However, for the above core issues, there is no implementation standard yet
And compared with the cloud computing center, the computing, communication, storage, power supply and other resources of the edge computing platform are relatively limited, and it is not suitable for deploying heavyweight system services. Therefore, a lightweight resource allocation method suitable for the edge computing platform is urgently needed
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[0017] The method will be further described below in conjunction with the accompanying drawings and specific embodiments.
[0018] refer to figure 1 . According to the present invention, at first, the application arranger uses the Json file as the carrier to arrange the calculation graph of the map-reduce calculation model (MapReduce), and counts the data propagation path and node calculation operation of the MapReduce calculation graph of the frequency of occurrence of letters in a distributed manner , arrange the Json file, and package the calculation operation program that needs to be supplemented together into a compressed file; then, inject the calculation task into the embedded edge computing platform, and the edge computing platform automatically parses the Json file and restores the calculation graph. And according to the calculation graph, the requirements for computing and communication resources are decomposed to form a mapping graph. When the calculation graph is...
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A resource configuration method for an embedded edge computing platform disclosed in the present invention aims to provide a simple, reliable, and rapidly deployable distributed computing resource configuration method for an embedded edge computing platform. The present invention is realized through the following technical scheme: use the Json file as the carrier, arrange the Json file according to the data transmission path and node calculation operation in the calculation graph, and pack the calculation operation programs that need additional supplements together into a compressed file ; Then, inject the computing task (Json file package) into the embedded edge computing platform, automatically parse the Json file, restore the computing graph, and decompose the computing and communication resource requirements according to the computing graph to form a mapping graph; finally, use The mapping diagram completes the deployment of computing requirements to hardware resources; if the mapping is unsuccessful, the decomposition method of the computing diagram can be adjusted according to the reason for the failure feedback, and a new mapping diagram can be formed for re-mapping.
Description
technical field [0001] The invention relates to a distributed computing resource configuration method for an embedded edge computing platform. Background technique [0002] In recent years, as the capabilities of sensors and end devices have become stronger, the demand for data volume and data processing diversification has exploded. Especially with the continuous emergence of new applications such as the Internet of Things, autonomous driving, and virtual reality, traditional cloud-based big data processing and artificial intelligence computing can no longer solve existing problems well, so a new computing model has emerged, called edge computing. Edge computing is at the edge of the network, that is, close to the source of data generation, using network edge nodes to process and analyze data and provide near-end computing services. [0003] Edge computing is becoming increasingly important as part of the Industrial Internet of Things. Due to the limited resources of IoT...
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IPC IPC(8): H04L29/08G06F16/27
CPCG06F16/27H04L67/10
Inventor 林勤潘灵钟瑜贾明权刘红伟张昊吴明钦
Owner 10TH RES INST OF CETC