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 Mobile E-Commerce Information System Based on Industry Cluster under Edge Computing

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Jun Liu ◽  
Baixiang Pan ◽  
Xiaheng Zhang ◽  
Doudou Li
Keyword(s):  
Information System ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Rapid Development ◽  
Fuzzy Comprehensive Evaluation ◽  
Industrial Clusters ◽  
Mobile Internet ◽  
Edge Computing ◽  
Relationship Analysis ◽  
Internet Networks

Mobile e-commerce is e-commerce implemented on mobile devices, such as mobile phones, and mobile Internet networks as we usually understand. With the rapid development of mobile electronic devices and mobile Internet networks, this new type of e-commerce field has gradually emerged. In the context of edge computing, this paper takes mobile e-commerce information system as the research object and aims to study the mobile e-commerce information system based on industry clusters under edge computing. First of all, this paper expounds the theory of industrial clusters and the manifestations of e-commerce industrial clusters, as well as the concept and technical framework of the Internet of Things, and proposes the order relationship analysis method and the fuzzy comprehensive evaluation method, and conducts experiments in the form of questionnaires. The experimental results show that, from the perspective of industrial integration, with a correlation coefficient of 0.687, there is a significant positive correlation between e-commerce information system and supply chain cooperation.

scholarly journals Container-Based Fast Service Migration Method for Mobile Edge Computing

2021 ◽  
Author(s):  
Xianyu Meng ◽  
Wei Lu
Keyword(s):  
Dynamic Loading ◽  
File System ◽  
High Reliability ◽  
Rapid Development ◽  
Edge Computing ◽  
Migration Time ◽  
Mobile Edge Computing ◽  
Computing Center ◽  
Service Migration ◽  
Iot Devices

Mobile edge computing (MEC) provides users with low-latency, high-bandwidth, and high-reliability services by migrating the computing power of the cloud computing center to the edge of the network. It is thus being considered an effective solution for the contradiction between the limited computing capabilities of Internet of Things (IoT) devices and the rapid development of delay-sensitive real-time applications. In this study, we propose and design a container union file system based on the differencing hard disk and dynamic loading strategy to address the excessively long migration time caused by the bundling transmission of the file system and container images during container-based service migration. The proposed method involves designing a mechanism based on a remote dynamic loading strategy to avoid the downloading of all container images, thereby reducing the long preparation time before which stateless migration can begin. Furthermore, in view of the excessive latency of the edge service during the stateful migration process, a strategy for avoiding the transmission of the underlying file system and container images is designed to optimize the service interruption time and service quality degradation time. Experiments show that the proposed method and strategy can effectively reduce the migration time of container-based services.

PROBLEMS OF DEVELOPING AN INFORMATION SYSTEM MODEL IN A MODERN ENTERPRISE

2020 ◽  
pp. 34-39
Author(s):  
A.A. Gaysarova ◽  
G.A. Shtofer
Keyword(s):  
Information System ◽  
Market Research ◽  
Reporting System ◽  
Functional Model ◽  
Information Analysis ◽  
Financial Flows ◽  
Software Products ◽  
Modern Enterprise ◽  
Analysis System ◽  
Goals And Objectives

This article discusses the features of developing a functional model of an information system in an enterprise that allows the management system to make more informed decisions and reduces the likelihood of managerial miscalculations by ensuring the coordination of employees ‘ activities, analysis and forecasting of financial flows and financial results. The proposed conceptual model of an enterprise’s IP combines an internal reporting system, an information analysis system, an information analysis system, and a market research system that are supported by the software products being created. This model allows you to upgrade or adjust information system elements depending on changes in management goals and objectives.

Optimal Offloading for Streaming Applications in Mobile Edge Computing

2021 ◽  
Author(s):  
Pengfei Sun ◽  
Xue-Yang Zhu ◽  
Ya Gao
Keyword(s):  
Mobile Devices ◽  
Rapid Development ◽  
Heuristic Method ◽  
Exact Algorithm ◽  
Edge Computing ◽  
Computation Offloading ◽  
Mobile Edge Computing ◽  
Computationally Efficient ◽  
Streaming Applications ◽  
Smart Mobile

With the rapid development of smart mobile devices, mobile applications are becoming more and more popular. Since mobile devices usually have constrained computing capacity, computation offloading to mobile edge computing (MEC) to achieve a lower latency is a promising paradigm. In this paper, we focus on the optimal offloading problem for streaming applications in MEC. We present solutions to find offloading policies of streaming applications to achieve an optimal latency. Streaming applications are modeled with synchronous data flow graphs. Two architecture assumptions are considered — with sufficient processors on both the local device and the MEC server, and with a limited number of processors on both sides. The problem is generally NP-complete. We present an exact algorithm and a heuristic algorithm for the former architecture assumption and a heuristic method for the latter. We carry out our experiments on a practical application and thousands of synthetic graphs to comprehensively evaluate our methods. The experimental results show that our methods are effective and computationally efficient.

scholarly journals A user interest community evolution model based on subgraph matching for social networking in mobile edge computing environments

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Liang Jiang ◽  
Lu Liu ◽  
Jingjing Yao ◽  
Leilei Shi
Keyword(s):  
Social Networks ◽  
Social Networking ◽  
Fundamental Problem ◽  
Rapid Development ◽  
Edge Computing ◽  
Mobile Edge Computing ◽  
User Interest ◽  
Subgraph Matching ◽  
Model Based ◽  
Community Evolution

AbstractWith the rapid development of mobile edge computing, mobile social networks are gradually infiltrating into our daily lives, in which the communities are an important part of social networks. Internet of People such as online social networks is the next frontier for the Internet of Things. The combination of social networking and mobile edge computing has an important application value and is the development trend of future networks. However, how to detect evolutionary communities accurately and efficiently in dynamic heterogeneous social networks remains a fundamental problem. In this paper, a novel User Interest Community Evolution (UICE) model based on subgraph matching is proposed for accurately detecting the corresponding communities in the evolution of the user interest community. The community evolutionary events can be quickly captured including forming, dissolving, evolving and so on with the introduction of core subgraph. A variant of subgraph matching, called Subgraph Matching with Dynamic Weight (SMDW), is proposed to solve the problem of updating the core subgraph due to the change of core user’s interest when tracking evolutionary communities. Finally, the experiments based on the real datasets have been designed to evaluate the performance of the proposed model by comparing it with the state-of-art methods in this area and complete data processing through the local edge computing layer. The experimental results demonstrate that the UICE model presented in this paper has achieved better accuracy, higher efficiency and better scalability against existing methods.

scholarly journals Evaluation and Analysis of Traditional Physical Training by Using Mobile Edge Computing and Software-Defined Networking

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Wenwen Pan ◽  
Jianzhi Wang ◽  
Jingsheng Ji
Keyword(s):  
Physical Training ◽  
Rapid Development ◽  
Software Defined Networking ◽  
The Body ◽  
Edge Computing ◽  
Training Data ◽  
Mobile Edge Computing ◽  
Centralized Control ◽  
Traffic Scheduling ◽  
Computing Technique

The body health plays an important metric in people’s everyday life, and it directly determines whether people have the ability to preferably contribute to the society. In fact, the physical training is a universal sport to enhance the body health. Therefore, the evaluation and analysis of physical training become particularly significant. With the rapid development and emerging of new techniques and networking paradigms, the traditional offline physical training evaluation and analysis cannot be performed well. Instead, this paper uses Mobile Edge Computing (MEC) and Software-Defined Networking (SDN) to implement the evaluation and analysis of physical training, shortened for MSPT, where MEC is the new computing technique and SDN is the new networking paradigm. The proposed MSPT includes two parts. At first, the physical training data from different mobile devices are migrated into the edge server for computing according to the current condition, in which the game theory is used to complete the task scheduling. Then, SDN is responsible for the global scheduling in the centralized control manner, in which the multigranularity scheduling strategy is used to handle the traffic between the SDN controller and edge computing server. The experiments are driven by OMNet, including three aspects of evaluation, i.e., task offloading of MEC, traffic scheduling of SDN, and performance analysis of physical training, and the results show that the proposed MSPT has better performance than the corresponding baselines.

scholarly journals A Zero-Proof Knowledge Based on NFC for Data Authentication/Protection using Blockchain for Mobile Edge Computing

2020 ◽  
Vol 8 (6) ◽  
pp. 2547-2552
Keyword(s):  
Web Application ◽  
Rapid Development ◽  
Edge Computing ◽  
The Internet ◽  
Mobile Edge Computing ◽  
Everyday Objects ◽  
Knowledge Based ◽  
Data Authentication ◽  
Proposed Model ◽  
The Internet Of Things

Mobile edge computing is a recent trend to complement the Internet of Things (IoT) ecosystem in the computing sector. IoT is the internet connected communications related to physical devices and everyday objects. The emergence of intelligent living spaces has been due to the rapid development of IoT technologies. Blockchain is one such technology that expands the list of information also referred to like records that are saved as blocks in the Blockchain which are connected using cryptographic algorithms. Within a Blockchain IoT environment, when data or device authentication information is stored in a Blockchain, authentication information can be displayed when verifying Block chain’s transactions, which are also referred to as proof of work. A principle of Zero-knowledge proof (ZKF) is implemented in this paper which is a way of proving that knowledge is known without exposing any data to the user. The proposed model uses a Mobile application where users can prove without revealing users' passwords. Blockchain stores client information that can prevent data from being manipulated. The results of applying the ZKF theory for data security are shown through a web application and NFC.

scholarly journals Sistem Informasi Pemasaran Hasil Pertanian Polinela Berbasis JSON

2018 ◽  
Vol 1 (1) ◽  
pp. 11
Author(s):  
Dwirgo Sahlinal ◽  
Rima Maulini ◽  
Dewi Kania Widyawati
Keyword(s):  
Information System ◽  
Model Verification ◽  
Agricultural Products ◽  
System Model ◽  
Agricultural Product ◽  
Information Analysis ◽  
Product Marketing ◽  
Information System Technology ◽  
Analysis System ◽  
Marketing Information

Agricultural information system aims to build a marketing system based on JSON information system technology (Java Script Object Notation). Specifically the research aims: (1) build a database using JSON; (2) establish marketing information system of agricultural products; (3) provide information on the implementation of identification, inventory monitoring of agricultural product marketing issues. The research begins with literature review, planning and preparation of system model, model verification, field trial, evaluation and development and implementation result. Output targets to be generated: (1) basic data of agricultural product marketing processing; (2) built a marketing information analysis system with JSON-based information technology.Keywords: Information System; Marketing; Agricultural Product; JSON.

scholarly journals Task Offloading Strategy and Simulation Platform Construction in Multi-User Edge Computing Scenario

Electronics ◽  
2021 ◽  
Vol 10 (23) ◽  
pp. 3038
Author(s):  
Guilu Wu ◽  
Zhongliang Li
Keyword(s):  
Decision Making ◽  
System Performance ◽  
Network Performance ◽  
Vehicular Networks ◽  
Edge Computing ◽  
Mobile Edge Computing ◽  
Vehicular Communication ◽  
System Overhead ◽  
Computing Method ◽  
Task Offloading

Various types of service applications increase the amount of computing in vehicular networks. The lack of computing resources of the vehicle itself will hinder the improvement of network performance. Mobile edge computing (MEC) technology is an effective computing method that is used to solve this problem at the edge of network for multiple mobile users. In this paper, we propose the multi-user task offloading strategy based on game theory to reduce the computational complexity and improve system performance. The task offloading decision making as a multi-user task offloading game is formulated to demonstrate how to achieve the Nash equilibrium (NE). Additionally, a task offloading algorithm is designed to achieve a NE, which represents an optimal or sub-optimal system overhead. In addition, the vehicular communication simulation frameworks Veins, SUMO model and OMNeT++ are adopted to run the proposed task offloading strategy. Numerical results show that the system overhead of the proposed task offloading strategy can degrade about 24.19% and 33.76%, respectively, in different scenarios.

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