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 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 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

Computation Offloading Game in Multiple UAV-Enabled Mobile Edge Computing Networks

2020 ◽  
Author(s):  
Yanling Ren ◽  
Zhibin Xie ◽  
Zhenfeng Ding ◽  
xiyuan sun ◽  
Jie Xia ◽  
...  
Keyword(s):  
Edge Computing ◽  
Computation Offloading ◽  
Mobile Edge Computing

Communication-efficient Offloading for Mobile Edge Computing in 5G Heterogeneous Networks

2020 ◽  
pp. 1-1
Author(s):  
Ping Zhou ◽  
Ke Shen ◽  
Neeraj Kumar ◽  
Yin Zhang ◽  
Mohammad Mehedi Hassan ◽  
...  
Keyword(s):  
Heterogeneous Networks ◽  
Edge Computing ◽  
Mobile Edge Computing

scholarly journals Multi-Objective Whale Optimization Algorithm for Computation Offloading Optimization in Mobile Edge Computing

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2628
Author(s):  
Mengxing Huang ◽  
Qianhao Zhai ◽  
Yinjie Chen ◽  
Siling Feng ◽  
Feng Shu
Keyword(s):  
Optimization Algorithm ◽  
Edge Computing ◽  
Solution Set ◽  
Whale Optimization Algorithm ◽  
Computation Offloading ◽  
Mobile Edge Computing ◽  
Multi Objective ◽  
Whale Optimization ◽  
Artificial Immune System Algorithm

Computation offloading is one of the most important problems in edge computing. Devices can transmit computation tasks to servers to be executed through computation offloading. However, not all the computation tasks can be offloaded to servers with the limitation of network conditions. Therefore, it is very important to decide quickly how many tasks should be executed on servers and how many should be executed locally. Only computation tasks that are properly offloaded can improve the Quality of Service (QoS). Some existing methods only focus on a single objection, and of the others some have high computational complexity. There still have no method that could balance the targets and complexity for universal application. In this study, a Multi-Objective Whale Optimization Algorithm (MOWOA) based on time and energy consumption is proposed to solve the optimal offloading mechanism of computation offloading in mobile edge computing. It is the first time that MOWOA has been applied in this area. For improving the quality of the solution set, crowding degrees are introduced and all solutions are sorted by crowding degrees. Additionally, an improved MOWOA (MOWOA2) by using the gravity reference point method is proposed to obtain better diversity of the solution set. Compared with some typical approaches, such as the Grid-Based Evolutionary Algorithm (GrEA), Cluster-Gradient-based Artificial Immune System Algorithm (CGbAIS), Non-dominated Sorting Genetic Algorithm III (NSGA-III), etc., the MOWOA2 performs better in terms of the quality of the final solutions.

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