Abstract
In today’s networks, two new concepts have emerged aiming at cost reduction and control network congestion, namely Network Functions Virtualization (NFV) and Software Defined Networking (SDN). NFV proposes to run the network functions as software instances on datacenters (DC), while SDN presents a new network architecture where the control plane is shifted to a centralized controller. Wireless Software Defined Networking (WSDN) is considered based on the wireless environments, such as propagation delay and external interference. It is critical to keep the network stable at the ideal stable state during congestion control. However, stability control is insufficient to achieve these aims in the presence of propagation delay and external interference.
In this paper, we propose robust congestion control to tackle these problems. Firstly, the traditional WNCS model is introduced to present a basic control model with delay. Then, a robust congestion control model in NFVs and WSDNs is presented, which is extended the traditional WNCS model by utilizing Lyapunov-Krasovskii functionals. Next, Lyapunov-Krasovskii functionals and linear matrix inequalities (LMIs) are adopted to analyze system stabilization with external disturbance. The sufficient conditions are formulated by Linear Matrix Inequalities (LMIs). Finally, a numerical simulation is conducted to indicate the effectiveness of the proposed scheme.
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Acknowledgment
This work is supported by the 863 project (Grant Nos. 2014AA01A701); The National Natural Science Foundation of China (Grant Nos. 61271168, 61471104).
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Hu, X., Guo, W. (2018). Robust Congestion Control in NFVs and WSDNs with Propagation Delay and External Interference. In: Chen, Q., Meng, W., Zhao, L. (eds) Communications and Networking. ChinaCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 210. Springer, Cham. https://doi.org/10.1007/978-3-319-66628-0_14
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DOI: https://doi.org/10.1007/978-3-319-66628-0_14
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