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Near-Optimal Routing Protection for In-Band Software-Defined Heterogeneous Networks

机译:带内软件定义的异构网络的近乎最优的路由保护

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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.
机译:面对频谱供需缺口,与纯宏网络相比,异构网络(HetNet)是一种实现网络覆盖范围和容量大幅增长的有前途的方法,因此使其对网络运营商特别有吸引力。另一方面,软件定义的网络带来了许多优点以及许多挑战。一个特别关注的问题是带内控制平面的弹性。当对软件定义的网络中的目标会话执行路由保护时,现有的方法主要依赖于本地重新路由策略。但是,这样的策略可能会在失败的相邻链路中造成拥塞。为此,我们研究了加权成本最小化问题,其中将流量负载平衡和控制信道建立成本共同考虑在内。由于此问题是NP难题,因此我们首先为带内软件定义的HetNets提出了一种基于近似最优马尔可夫近似的方法。然后,我们将解决方案扩展到处理单链接故障的在线案例。我们还对由于单链路故障导致的性能波动进行了理论分析。我们最终通过实验模拟进行实验。大量的数值结果表明,该算法收敛速度快,资源利用效率高。

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