scholarly journals Mobile Information System of Ceramic Appreciation and Communication Management Based on Mobile Edge Computing

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Mian Wang
Keyword(s):  
Information System ◽  
Ceramic Industry ◽  
Edge Computing ◽  
Mobile Edge Computing ◽  
Computing Technology ◽  
Communication Management ◽  
Global Computing ◽  
Mobile Information ◽  
Traditional Ceramics

Mobile edge computing is a very popular technology now. It was proposed to eliminate the problem of lack of global computing resources. This article aims to study the use of the latest mobile edge computing technology to study the mobile information system for appreciation, exchange, and management of the traditional ceramic industry. The whole article uses mobile edge computing technology. It enters the network using wireless methods and provides recent users with the required services and cloud computing functions, allowing users to easily query the information and data they want, plus mobile. The information system enables people to use mobile phones, tablets, and other mobile terminals to query information in the ceramic industry and perform functions such as appreciation, communication, and management. From 2016 to 2020, our country’s ceramic industry exports have increased from US$3.067 billion to US$6.826 billion. Traditional ceramics in our country have been loved by various industries at home and abroad. The number of employees in the ceramic industry has also increased to 5 million, an increase of 30% year-on-year. The ceramic industry is also very promising in the long term.

scholarly journals Multistrategy Repeated Game-Based Mobile Crowdsourcing Incentive Mechanism for Mobile Edge Computing in Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Chuanxiu Chi ◽  
Yingjie Wang ◽  
Yingshu Li ◽  
Xiangrong Tong
Keyword(s):  
Game Theory ◽  
Internet Of Things ◽  
Incentive Mechanism ◽  
Repeated Game ◽  
Edge Computing ◽  
Quality Data ◽  
Mobile Edge Computing ◽  
High Quality ◽  
Mobile Crowdsourcing

With the advent of the Internet of Things (IoT) era, various application requirements have put forward higher requirements for data transmission bandwidth and real-time data processing. Mobile edge computing (MEC) can greatly alleviate the pressure on network bandwidth and improve the response speed by effectively using the device resources of mobile edge. Research on mobile crowdsourcing in edge computing has become a hot spot. Hence, we studied resource utilization issues between edge mobile devices, namely, crowdsourcing scenarios in mobile edge computing. We aimed to design an incentive mechanism to ensure the long-term participation of users and high quality of tasks. This paper designs a long-term incentive mechanism based on game theory. The long-term incentive mechanism is to encourage participants to provide long-term and continuous quality data for mobile crowdsourcing systems. The multistrategy repeated game-based incentive mechanism (MSRG incentive mechanism) is proposed to guide participants to provide long-term participation and high-quality data. The proposed mechanism regards the interaction between the worker and the requester as a repeated game and obtains a long-term incentive based on the historical information and discount factor. In addition, the evolutionary game theory and the Wright-Fisher model in biology are used to analyze the evolution of participants’ strategies. The optimal discount factor is found within the range of discount factors based on repeated games. Finally, simulation experiments verify the existing crowdsourcing dilemma and the effectiveness of the incentive mechanism. The results show that the proposed MSRG incentive mechanism has a long-term incentive effect for participants in mobile crowdsourcing systems.

scholarly journals Edge Computing in Mobile Information System for Digital Construction of College English Teaching

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Hong Zhu
Keyword(s):  
Information System ◽  
Driving Forces ◽  
Teaching Method ◽  
Colleges And Universities ◽  
Edge Computing ◽  
System Structure ◽  
College English ◽  
Modern Education ◽  
Function Design ◽  
Mobile Information

As an education mode and teaching method of modern education, digital teaching in colleges and universities plays a role of bridge and hub in the development of modern education. Digital teaching has become one of the important driving forces for the development of digital and informatization of education in colleges and universities. This paper combines edge computing and digital technology to study the mobile information system used in the digital teaching of college English, namely, the digital teaching platform. In the technical part, this article clarifies the concept of mobile information system and introduces edge computing, cloud computing, digital system structure, and other technologies in detail; the system design and implementation part introduces the system architecture, function design, and how to realize the system function. In the system test section, black box and white box tests were performed on the system. The test results show that all functions of the system can be used normally and have certain feasibility. The mobile information system reduces the average content transmission delay (ADL) by approximately 14%-22% and 21%-31%, respectively, which greatly improves the efficiency of digital teaching of English in colleges and universities.

scholarly journals Continuous Use Behavior of Knowledge Payment Platform Based on Edge Computing under Mobile Information System

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Hong Huo ◽  
Quanxi Li
Keyword(s):  
Information System ◽  
Behavior Analysis ◽  
Edge Computing ◽  
Rfid Technology ◽  
Mobile Information ◽  
Use Behavior ◽  
And Behavior ◽  
Sample Age ◽  
Continuous Use ◽  
Over 40 Years

From 2015 to the end of 2016, the Internet set off a wave of payment for knowledge. Pay-for-knowledge platforms such as Fenda, iGet, and Qianliao went online quickly, and platforms such as Himalaya FM, Zhihu, and Qingting FM gathered to launch paid columns. The number of users increased rapidly, and payment for knowledge was considered to have reached the trend of development. This article aims to study the introduction of edge computing in the mobile information system into the existence and inevitability of the knowledge payment platform; analyze the advantages, dilemmas, and optimization paths of the knowledge payment platform; and try to provide a theoretical reference for promoting its development. This article puts forward an explanation of the related content of mobile edge computing and RFID technology overview, using comparative experiment and behavior analysis methods. The experimental results show that there are 98 people under the age of 18 in the questionnaire, accounting for 19.1% of the total, 201 people aged 18–29, accounting for 39.1% of the total, 142 people aged 30–39, accounting for 27.6% of the total, and 73 people over 40 years old, accounting for 14.2% of the total number. It can be seen from the data that the sample age is mainly concentrated in the 18–29 years old, followed by the 30–39 years old; the sample age is biased towards young people. It has well completed the continuous use behavior analysis of the knowledge payment platform based on edge computing under the mobile information system.

scholarly journals Innovative Styling and Structural Design of New Duplex Wide-Body Passenger Aircraft Based on Mobile Edge Computing

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Lu Chen ◽  
Lijun Xu ◽  
Qinghan Yang ◽  
Xinke Pan
Keyword(s):  
Structural Design ◽  
Edge Computing ◽  
Mobile Edge Computing ◽  
Computing Technology ◽  
Passenger Compartment ◽  
Innovative Design ◽  
Transfer Station ◽  
Rail Structure ◽  
Passenger Aircraft ◽  
Car Travel

The research is designed to explore wide-body aircraft that are more suitable in 2035-2040. The innovative design of the wide-body aircraft adopts the form of the main passenger compartment and wing separation, the passenger compartment in the form of a single engine car through the rail transit and transfer car travel together. The transfer car delivers the two engine cars in turn to the aircraft, which is tightly connected to the rail structure by mechanical claws. Engine cars can split up at the transfer station, thus assisting in the diversion of passengers. The interior of the engine car has been optimized. A visual mask can be used for isolation has been designed for the seats. And a device is designed to lighten passengers’ legs to alleviate “economy class syndrome.” The corresponding data analysis used the mobile edge computing technology.

scholarly journals Visitor Information System of Cross-Border E-Commerce Platform Based on Mobile Edge Computing

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Xiaheng Zhang ◽  
Yonghua Cai ◽  
Lin Xiao
Keyword(s):  
Information System ◽  
Rapid Development ◽  
Edge Computing ◽  
Pass Rate ◽  
Mobile Edge Computing ◽  
Information Analysis ◽  
Cross Border ◽  
The Cross ◽  
Analysis System ◽  
Computing Method

With the popularity of the Internet and the rapid development of e-commerce, online shopping has gradually become an indispensable part of people’s lives. Among them, the rise of cross-border e-commerce has become a focus of attention. The operation traces left by visitors during shopping on the e-commerce platform are stored in the database of the system, and the platform holds such a large amount of valuable data resources. How to unearth valuable content from these resources and apply them becomes very important. This article mainly introduces the research on the visitor information analysis system of the cross-border e-commerce platform based on mobile edge computing. This article first establishes the mobile edge computing framework based on the advantages of the mobile edge computing method and uses it to visit visitors in the visitor information analysis system. In the data filtering, secondly, the requirements of the visitor information analysis system of the cross-border e-commerce platform are analyzed to provide a design basis for the design of the visitor information system. Finally, the visitor information analysis based on the mobile edge algorithm is designed through the demand analysis of the system that has also been tested for visitor information analysis. The test pass rate is as high as 98%, and the accuracy rate of visitor information analysis reaches 80%.

scholarly journals Application of Mobile Edge Computing Technology in Civil Aviation Express Marketing

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Ying Yu
Keyword(s):  
Data Processing ◽  
Clustering Algorithm ◽  
Rapid Development ◽  
Base Station ◽  
Edge Computing ◽  
Civil Aviation ◽  
Mobile Edge Computing ◽  
Core Network ◽  
Computing Technology ◽  
Processing And Storage

With the popularization of mobile terminals and the rapid development of mobile communication technology, many PC-based services have placed high demands on data processing and storage functions. Cloud laptops that transfer data processing tasks to the cloud cannot meet the needs of users due to low latency and high-quality services. In view of this, some researchers have proposed the concept of mobile edge computing. Mobile edge computing (MEC) is based on the 5G evolution architecture. By deploying multiple service servers on the base station side near the edge of the user’s mobile core network, it provides nearby computing and processing services for user business. This article is aimed at studying the use of caching and MEC processing functions to design an effective caching and distribution mechanism across the network edge and apply it to civil aviation express marketing. This paper proposes to focus on mobile edge computing technology, combining it with data warehouse technology, clustering algorithm, and other methods to build an experimental model of MEC-based caching mechanism applied to civil aviation express marketing. The experimental results in this paper show that when the cache space and the number of service contents are constant, the LECC mechanism among the five cache mechanisms is more effective than LENC, LRU, and RR in cache hit rate, average content transmission delay, and transmission overhead. For example, with the same cache space, ATC under the LECC mechanism is about 4%~9%, 8%~13%, and 18%~22% lower than that of LENC, LRU, and RR, respectively.

Load Balancing for Energy-Harvesting Mobile Edge Computing

2021 ◽  
Vol E104.A (1) ◽  
pp. 336-342
Author(s):  
Ping ZHAO ◽  
Jiawei TAO ◽  
Abdul RAUF ◽  
Fengde JIA ◽  
Longting XU
Keyword(s):  
Energy Harvesting ◽  
Load Balancing ◽  
Edge Computing ◽  
Mobile Edge Computing
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