Label Switching Virtual Private Network Research Articles

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

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.

Control, data acquisition and remote participation for steady-state operation in LHD

Control, data acquisition, plasma monitoring and remote participation for steady state operation in the large helical device (LHD) are reviewed. By controlling the impedance matching of ICH, the plasma position and the electron density, high temperature plasma is confined for 1905s. The plasma parameters are monitored in real time. Data are continuously sampled by the YOKOGAWA WE7000 system and by the NATIONAL INSTRUMENTS CompactPCI system. Those data are managed by the object-oriented database system based on ObjectStore in distributed servers with mass storage. By using the multi protocol label switching-virtual private network (MPLS-VPN) technology, the local area network of LHD is expanded to the Japanese fusion community. This provides the remote participants with the same environment of the LHD control room.

Multiprotocol label switching and IP. Part 2. Multicast virtual private networks

For pt.1 see ibid., vol.9, no.3, p.68-72 (2005). Part I of this series discussed a solution for running multiprotocol label switching virtual private networks (MPLS VPNs) across a service provider's native IP network. Yet, MPLS VPNs support only unicast routing, whereas many of the enterprise customers that use the service run applications that require IP multicast. This article examines multicastVPN (mVPN), which provides the ability to support IP multicast across MPLS VPNs. Service providers can thus offer IP VPN services that support unicast and multicast applications.

Quality of service in BT’s MPLS-VPN platform

The multi-protocol label switching virtual private network (MPLS-VPN) is now firmly established as the preferred choice for providing private IP networking services for a very wide range of customer type, from small regional organisations, to large multinational corporations. Quality of service (QoS) is a natural complement to MPLS-VPN technology, enabling multiservice operation, and supporting the increasing drive toward application convergence. BT has recently launched a second-generation QoS scheme for its MPLS-VPN platform that gives unparalleled capability. This paper gives a detailed overview of the principles and mechanisms of differentiated-services QoS, and describes how this is applied in the BT design.