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Title: Near-optimal routing protection for in-band software-defined heterogeneous networks
Authors: Huang, H
Guo, S 
Liang, W
Li, K
Ye, B
Zhuang, W
Keywords: In-band
Markov approximation
Routing protection
Software-defined heterogeneous networks
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE journal on selected areas in communications, 2016, v. 34, no. 11, 7583673, p. 2918-2934 How to cite?
Journal: IEEE journal on selected areas in communications 
Abstract: Facing the spectrum supply-demand gap, heterogeneous network (HetNet) is a promising approach to achieve drastic gains in network coverage and capacity compared with macro-only networks, thus making it especially attractive to network operators. On the other hand, software-defined networking brings a number of advantages along with many challenges. One particular concern is on the resilience for in-band fashioned control plane. Existing approaches mainly rely on a local rerouting policy when performing the routing protection for the target sessions in software-defined networks. However, such a policy would potentially bring congestions in the neighbouring links of the failed one. To this end, we study a weighted cost-minimization problem, where the traffic load balancing and control-channel setup cost are jointly considered. Because this problem is NP-hard, we first propose a near-optimal Markov approximation-based approach for in-band-fashioned software-defined HetNets. We then extend our solution to an online case that handles a single-link failure. We also conduct theoretical analysis on the performance fluctuation due to the single-link failure. We finally carry out experiments by experimental simulation. The extensive numerical results show that the proposed algorithm has fast convergence and high efficiency in resource utilization.
ISSN: 0733-8716
DOI: 10.1109/JSAC.2016.2615184
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