Visible to the public An Optimization Algorithm for Spatial Information Network Self-Healing Based on Software Defined Network

TitleAn Optimization Algorithm for Spatial Information Network Self-Healing Based on Software Defined Network
Publication TypeConference Paper
Year of Publication2017
AuthorsFan, Z., Wu, H., Xu, J., Tang, Y.
Conference Name2017 12th International Conference on Computer Science and Education (ICCSE)
ISBN Number978-1-5090-2508-4
KeywordsAlgorithm design and analysis, composability, control systems, delays, fast network reconfiguration, flow table, information networks, integrated space-terrestrial information network, Packet loss, pubcrawl, quality of service, reliable data transmission, resilience, Resiliency, self-healing networks, Software Defined Network, software defined networking, Spatial information network, spatial information network architecture, spatial information network self-healing, stable data transmission, telecommunication network reliability, telecommunication traffic, Vehicle dynamics
Abstract

Spatial information network is an important part of the integrated space-terrestrial information network, its bearer services are becoming increasingly complex, and real-time requirements are also rising. Due to the structural vulnerability of the spatial information network and the dynamics of the network, this poses a serious challenge to how to ensure reliable and stable data transmission. The structural vulnerability of the spatial information network and the dynamics of the network brings a serious challenge of ensuring reliable and stable data transmission. Software Defined Networking (SDN), as a new network architecture, not only can quickly adapt to new business, but also make network reconfiguration more intelligent. In this paper, SDN is used to design the spatial information network architecture. An optimization algorithm for network self-healing based on SDN is proposed to solve the failure of switching node. With the guarantee of Quality of Service (QoS) requirement, the link is updated with the least link to realize the fast network reconfiguration and recovery. The simulation results show that the algorithm proposed in this paper can effectively reduce the delay caused by fault recovery.

URLhttp://ieeexplore.ieee.org/document/8085519/
DOI10.1109/ICCSE.2017.8085519
Citation Keyfan_optimization_2017