RETRACTED: Intelligent edge computing based on machine learning for smart city

Lv, Zhihan; Chen, Dongliang; Lou, Ranran; Wang, Qingjun

doi:10.1016/j.future.2020.08.037

Cited by 137 publications

(77 citation statements)

References 32 publications

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“…e efficient migration algorithm proposed in this paper is mainly to discover hotspot nodes with high resource utilization and cold spot nodes with low resource utilization in the edge computing platform and select tasks among them for migration mechanism [25]. When judging the resource utilization, if the server resource usage reaches the upper or lower threshold and it is identified as a hot spot node or cold spot node that needs to be processed [2], the dynamic nature of the task is ignored, which will result in a large number of servers. ey are all judged as hot spot nodes, which will also bring a lot of meaningless task migration, cause a large degree of waste of resources, and seriously affect the service performance of the entire edge computing platform [26,27].…”

Section: Forecast Of Resources In the Short Termmentioning

confidence: 99%

“…In the current situation of increasingly severe import and export trade forms, studying the elasticity of national import and export commodities will help us to propose corresponding policies through price and income elasticity to effectively adjust and optimize the current import and export structure of commodities [2], so as to achieve a moderate maintenance of the number of imports and exports of some products which will ultimately achieve the goal of promoting economic growth and development on the one hand and alleviating the trade friction between countries on the other and reducing the impact of external economies on a country's economy.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

International Import and Export Trade Forecasting Algorithm Based on Heterogeneous Dynamic Edge Computing System

Yingfei

2021

Mathematical Problems in Engineering

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As a new computing model, how to use edge computing to forecast import and export trade has become an issue of concern. This research mainly discusses the prediction algorithm of international import and export trade based on heterogeneous dynamic edge computing system. The dynamic task migration system studied in this paper mainly includes four parts: edge computing environment simulator, task generator, resource predictor, and migration decision maker. These four parts are not independent modules in the working process; they will interact with each other in the edge computing environment. In the data processing offloading strategy, the customs business personnel transfer the trade data that need to be predicted to the edge device cluster through the mobile terminal. After receiving the data transmitted by the business personnel, the edge device cluster uses data processing technology to process the data. After the data processing operation is completed, the processed data is directly used for prediction work. After the prediction work is completed, the data and results are uploaded to the central server. Finally, after the prediction work is completed, the edge device will feed back the prediction result to the mobile terminal and display the result on the user interface through the mobile terminal so that business personnel can understand the trade risk status. From August 2018 data application period, the monthly data of the import and export trade volume for the subsequent time span of ten years were regularly forecasted, and the correlation coefficient was still over 83%, and the RMSE also dropped significantly. The system designed in this study can effectively predict the annual estimated value of various economic indicators of international import and export trade.

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Section: Forecast Of Resources In the Short Termmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

International Import and Export Trade Forecasting Algorithm Based on Heterogeneous Dynamic Edge Computing System

Yingfei

2021

Mathematical Problems in Engineering

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“…Since "WOS" has covered almost all the fields of discipline, the retrieved texts according to one certain keyword may belong to more than one subject category. For instance, if we use "text mining" as the keyword to search, besides of the computer science [24], the retrieved texts can be distributed in linguistics, psychology, Communication Sciences and the related subjects, and so on. What's more, it could be divided into a subject which has little to do with "text mining", like physics and neuroscience, if there is some blend of text mining related algorithm and the subject itself.…”

Section: Classification Of Label Valuementioning

confidence: 99%

Text recommendation based on time series and multi-label information

et al. 2021

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One of the key functions of the method of text recommendation is to build a correlation analysis to all the text collection. At present, most of the text recommendation methods use the citation network, but less to consider the internal relations, which has become a challenge and an opportunity for the research of text recommendation. Therefore, we propose a new method to ameliorate the above problem based on the time series in this paper. We specify a certain text collection according to the interests of users and integrate the varied label values of the text, then we build the correlation coefficient between text and its related text with the differential analysis, finally the similarity degree of the text is calculated out by using the improved cosine similarity correlation matrix to promote a recommendation of similar text. Our experiments indicate that we are able to ensure the quality of text, with an improvement of accuracy by 8.63% as well as an improvement of recall rate by 5.25%.

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“…According to the mining target and data form, models such as classification and prediction, cluster analysis, and association rules can be established to help system users extract the value contained in the data. In order to be able to complete the support of the above-mentioned hardware overall design and achieve the corresponding computing capabilities, it is necessary to select a suitable microprocessor as the core part of the overall system-edge computing equipment [4].…”

Section: Data Collectionmentioning

confidence: 99%

“…For this reason, edge data processing technology with edge computing as the core has been produced and widely promoted [4]. Edge computing is defined as a distributed open platform that integrates core capabilities of network, computing, storage, and application on the edge of the network close to the source of things or data [5,6].…”

Section: Introductionmentioning

confidence: 99%

Innovation Trend of Edge Computing Technology Based on Patent Perspective

Liu

2021

Wireless Communications and Mobile Computing

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Edge computing is an important foundation for building 5G networks, but in my country, there are few applications or inventions based on edge computing. In order to improve the application of edge computing, this article innovatively designs a human behavior recognition system based on a patent perspective, which provides a reference for other researchers. This paper discusses and designs the software and hardware schemes and related communication methods of a new edge computing framework that combines edge devices and cloud computing centers. After processing the collected human behavior data, the behaviors of the corresponding monitoring objects are classified and modeled, and then the distributed computing of edge devices is used to modify these models. These systems are characterized by low energy consumption and fast response. The experimental results prove. The recognition efficiency of edge computing technology from the patent perspective has been greatly improved. Its recognition speed is more than 30% faster than other algorithm calculations, and the accuracy of recognition reaches 0.852, which is about 20% higher than traditional recognition. The authors show that edge computing technology based on a patent perspective can play an important role in our lives.

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RETRACTED: Intelligent edge computing based on machine learning for smart city

Cited by 137 publications

References 32 publications

International Import and Export Trade Forecasting Algorithm Based on Heterogeneous Dynamic Edge Computing System

International Import and Export Trade Forecasting Algorithm Based on Heterogeneous Dynamic Edge Computing System

Text recommendation based on time series and multi-label information

Innovation Trend of Edge Computing Technology Based on Patent Perspective

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