Intelligent Network Control

2019 ◽  
pp. 85-156
Author(s):  
Haipeng Yao ◽  
Chunxiao Jiang ◽  
Yi Qian
Keyword(s):  
Network Control ◽  
Intelligent Network

scholarly journals A mobile agent-based active network architecture for intelligent network control

2002 ◽  
Vol 141 (1-2) ◽  
pp. 3-35 ◽  
Author(s):  
Wen-Shyen E Chen ◽  
Chih-Lin Hu
Keyword(s):  
Mobile Agent ◽  
Network Architecture ◽  
Network Control ◽  
Active Network ◽  
Intelligent Network ◽  
Agent Based

Intelligent network control middleware platform

2005 ◽  
Vol 43 (5) ◽  
pp. S11-S18 ◽  
Author(s):  
K.H. Liu
Keyword(s):  
Network Control ◽  
Intelligent Network

Study of the Production of Electrolytic Capacitors of Intelligent Network Equipment Management

2015 ◽  
Vol 734 ◽  
pp. 207-210
Author(s):  
Qing Quan Cui ◽  
Jing Ning
Keyword(s):  
Control System ◽  
Production Equipment ◽  
Network Control ◽  
Electrolytic Capacitor ◽  
Equipment Management ◽  
Intelligent Network ◽  
Aluminum Electrolytic Capacitor ◽  
System Perspective ◽  
Electrolytic Capacitors ◽  
Network Equipment

Automatic equipments workshop in the production process, the statistics and reports for various data is the condition that the statistics after the production. From the system perspective, this is an off-line control system, and the time difference will increase the failure rate and reduce the efficiency of the equipment manufacturing products. According to this problem, the intelligent network management scheme for the production equipment is designed in the paper, as aluminum electrolytic capacitor production equipment an example, the network control system (NCS) is introduced into the equipment management of production of aluminum electrolytic capacitors, and the design idea and structure are given. Through the design, the intelligent management of aluminum electrolytic capacitor production equipment is realized, which can ensure the efficient, real-time and accuracy of each production link in capacitor.

Modeling and Simulation of Mechatronic Technology Based on Intelligent Network Control

2014 ◽  
Vol 716-717 ◽  
pp. 1599-1603
Author(s):  
Zhi Xin Hu ◽  
Jiu Nan Xu ◽  
Ling Xiao Weng
Keyword(s):  
Modeling And Simulation ◽  
Visual Processing ◽  
Mechanical Model ◽  
Computer Software ◽  
Network Control ◽  
Intelligent Network ◽  
Simulation Design ◽  
Interdisciplinary Field ◽  
Computer Research ◽  
Library Function

This paper designs a new mechatronic modeling and simulation platform, which uses Solidworks to establish the mechanical model, and uses LabVIEW intelligent network library function to realize mechatronic control. Combining with VC software it realizes the simulation results visualized output, which realizes the co-simulation design of SolidWorks, LabVIEW and VC software. With the help of this system, engineers can establish mechanical model by computer software, and use interdisciplinary field theory to analyze the product key performance indicators in the virtual operating environment, further visual processing, and according to the simulation data to improve and optimize the system. It provides a new method for computer research and development of mechatronic products.

scholarly journals Network Intelligent Control and Traffic Optimization Based on SDN and Artificial Intelligence

Electronics ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 700
Author(s):  
Aipeng Guo ◽  
Chunhui Yuan
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Control ◽  
Network Traffic ◽  
Large Scale ◽  
Control Mechanism ◽  
Optimization Algorithms ◽  
Shortest Paths ◽  
Network Control ◽  
Intelligent Network ◽  
Traffic Optimization

For telecom operators, it is of great significance to employ artificial intelligence (AI) and big data technology in a software-defined network (SDN) in order to achieve intelligent network control, traffic management and optimization. This paper proposes a solution for intelligent work control and traffic optimization. This paper is mainly focused on SDN-based network traffic algorithm optimization and experimental verification. In this paper, we design a network control mechanism for network intelligent control as well as solutions for traffic optimization based on SDN and artificial intelligence. We analyze operators’ network requirements (e.g., the carrying of the 5th generation mobile network (5G) service, multi-protocol label switching virtual private networks optimization, cloudification of services and the IP backbone network). Then, we propose an intelligent network control architecture based on SDN and artificial intelligence. The proposed architecture consists of three modules, including a network status collection/perception module, an AI intelligent analysis module and an SDN controller module. Moreover, this paper also analyzes the objects of traffic optimization as well as routing calculation algorithms (e.g., the greedy algorithm, the top-k-shortest paths (KSP) algorithm) and routing optimization algorithms (e.g., particle swarm optimization, simulated annealing and genetic algorithms). In addition, we also put forward three optimization algorithms for the operator’s network, namely, network congestion control and prevention algorithms, resource preemption algorithms and balance of the entire network traffic algorithms. Then, we propose optimization algorithms for the above three objectives of operator network optimization, respectively. Finally, we conduct large-scale experiments to verify the effectiveness of the control mechanism and algorithms. The experimental results demonstrate that the use of SDN and artificial intelligence in operator networks can realize network intelligent control and traffic optimization more intelligently.

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