Industrial structure technology upgrade based on 5G network service and IoT intelligent manufacturing

2021 ◽  
Vol 81 ◽  
pp. 103696
Author(s):  
Yueting Wang
Keyword(s):  
Industrial Structure ◽  
Intelligent Manufacturing ◽  
Network Service ◽  
5G Network ◽  
Technology Upgrade

scholarly journals Intent-Based End-to-End Network Service Orchestration System for Multi-Platforms

2020 ◽  
Vol 12 (7) ◽  
pp. 2782 ◽  
Author(s):  
Adeel Rafiq ◽  
Asif Mehmood ◽  
Talha Ahmed Khan ◽  
Khizar Abbas ◽  
Muhammad Afaq ◽  
...  
Keyword(s):  
Human Error ◽  
Human Interaction ◽  
Network Function Virtualization ◽  
Network Service ◽  
Service Orchestration ◽  
Network Function ◽  
5G Network ◽  
Level Information ◽  
End To End ◽  
High Level

On-demand service is the main feature of the 5G network, and Network Function Virtualization (NFV) provides it by virtualizing the existing 5G network infrastructure. NFV crafts various virtual networks on a shared physical network, but one of the core challenges in future 5G networks is to automate the modeling of Virtualized Network Functions (VNFs) and end-to-end Network Service (NS) orchestration with less human interaction. Traditionally, the descriptor of VNF and NS is created manually, which requires expert-level skills. This manual approach has a big threat of human error, which can be avoided by using the Intent-Based Networking (IBN) approach. The IBN approach eliminates the requirement of expertise for designing VNFs and NS by taking users’ intentions as an input. In this paper, the proposed system presents the Intent Management System for VNF modeling and end-to-end NS orchestration for multi-platforms. This system takes the high-level information related to a specific service, configures it accordingly, and converts it into the selected platform. The proposed system is tested using Mobile Central Office Re-architected as Data Center (M-CORD) and Open-Source Management and Orchestration (OSM) orchestrators. The results section shows that the proposed system reduces the effort of the end-user in creating network slices and provides seamless end-to-end service orchestration.

scholarly journals Multi-domain Orchestration leveraging the Application-Layer Traffic Optimization Protocol

2018 ◽  
Author(s):  
Danny Alex Lachos Perez ◽  
Christian Esteve Rothenberg
Keyword(s):  
Local Information ◽  
Added Value ◽  
Standard Protocol ◽  
Application Layer ◽  
Network Service ◽  
Prototype Implementation ◽  
5G Network ◽  
Network Functions ◽  
Traffic Optimization ◽  
Domain Management

Evolving 5G network scenarios will have to deal with new multiple administrative domain (aka multi-domain) orchestration models. Based on a new broker-plane approach on top of per-domain management and orchestration functions, we present a Multi-domain orchestration prototype capable to coordinate the delivery of a multi-operator End-to-End Network Service (E2ENS) that combines per-domain paths and network functions for a given service request. Our prototype implementation retrieves local information about topology and resources from each Multi-domain Orchestrator (MdO) to offer after inter-domain added value services in the form of abstract Map Services. These map abstractions are easily consumable through developer-friendly REST APIs based on the Application-Layer Traffic Optimization (ALTO) standard protocol.

scholarly journals A collaborative service resource evaluation model based on trust network

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Jiantao Shi ◽  
Likun Liu ◽  
Xiangzhan Yu ◽  
Hui Lu
Keyword(s):  
Evaluation System ◽  
Service Failure ◽  
High Reliability ◽  
Evaluation Model ◽  
Service Evaluation ◽  
Edge Computing ◽  
Network Service ◽  
Trust Network ◽  
Trust Mechanism ◽  
5G Network

AbstractIn the era of the 5G network, network traffic grows rapidly. Edge computing will face the challenges of high bandwidth, low latency, high reliability and other requirements of 5G network services. Due to the limited resources of node communication, computing and storage, under the sudden, intensive and high-traffic task request, edge computing will suffer from network jitter, excessive delay, access congestion, service failure and low distribution efficiency. In order to ensure network service quality and improve service efficiency, it is necessary to construct an effective collaborative service mechanism, motivate nodes to participate in cooperation, integrate network service resources and self-adapt to manage collaborative services. Therefore, establishing an effective node and service evaluation system to identify reliable resources and nodes is an effective way to improve the overall availability and reliable services of edge computing network. In this paper, we summarize and analyze the key technologies of the current collaborative service organization incentive and trust mechanism. This paper presents an attack-resistant node and service evaluation system based on a trust network. The system includes a voting collection mechanism, a trustable node selection mechanism, a questioning response mechanism and a punishment mechanism. The experiments prove that the system has a strong ability to resist attacks and is superior to the existing reputation evaluation model in terms of its performance. It can effectively improve the collaborative efficiency of edge computing and guarantee the quality of network service.

scholarly journals An Intent-Driven Closed-Loop Platform for 5G Network Service Orchestration

2022 ◽  
Vol 70 (3) ◽  
pp. 4323-4340
Author(s):  
Talha Ahmed Khan ◽  
Khizar Abbas ◽  
Afaq Muhammad ◽  
Wang-Cheol Song
Keyword(s):  
Closed Loop ◽  
Network Service ◽  
Service Orchestration ◽  
5G Network

Research on Multi-Agent and Storm-Hadoop Based on Cooperative Sensing Framework for Multiple Intelligent Manufacturing Agent

2017 ◽  
Vol 864 ◽  
pp. 192-201
Author(s):  
Jin Chang Wan ◽  
Tao Cheng
Keyword(s):  
Data Sharing ◽  
Information Integration ◽  
Manufacturing Industry ◽  
Industrial Structure ◽  
Intelligent Manufacturing ◽  
Distributed Artificial Intelligence ◽  
Cooperative Sensing ◽  
Multi Agent ◽  
Collaborative Processing ◽  
Distributed Cluster

With the bottlenecks of traditional manufacturing technology becoming increasingly prominent, manufacturing industry need to adjust and upgrade the industrial structure, and intelligent manufacturing is the future development direction of manufacturing industry. According to the characteristics of complex, open system hierarchy structure and distributed multi agent of intelligent manufacturing, in order to solve the problem of information integration and collaborative processing of the organic elements of intelligent manufacturing collaborative perception process, it is necessary to give the autonomy of intelligent manufacturing entities to make it to form a fully functional agent, and these agents are connected to the communication network as a network node, so as to realize the data sharing and collaborative awareness processing function between the intelligent manufacturing body. Therefore, this article build the intelligent manufacturing system based the multi Agent and Storm-Hadoop distributed cluster framework through the research and analysis of distributed artificial intelligence and distributed cluster mechanism, and provides a collaborative framework based on multi Agent and Storm-Hadoop for information integration, data sharing, collaborative processing of collaboration awareness problem for multi manufacturing subjects of intelligent manufacturing. The simulation results shows that the cooperative sensing framework proposed in this paper can provide an effective information, data and knowledge processing mechanism and method for realizing multi subject intelligent manufacturing collaborative awareness.

Sign in / Sign up

Export Citation Format

Share Document