低轨道卫星网络中机动与负载自适应控制器的布置与分配

Long Chen, F. Tang, Xu Li
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引用次数: 16

摘要

基于软件定义网络(SDN)的LEO卫星网络可以通过灵活的功能配置和高效的控制器资源管理,充分利用卫星资源。因此,必须根据动态拓扑和时变工作负载仔细部署控制器。然而,现有的控制器布局和分配方法并不适用于具有高度动态拓扑和随机负载波动的LEO卫星网络。本文首先提出了自适应控制器布置与分配(ACPA)问题,并证明了其np -硬度。然后,我们提出了控制关系图(CRG)来定量捕捉LEO卫星网络中的控制开销。接下来,我们提出了基于crg的具有有界近似比的控制器布置与分配(CCPA)算法。最后,利用预测的拓扑结构和估计的流量负载,设计了一种基于前瞻的改进算法,进一步降低了总体管理成本。大量的仿真结果表明,CCPA算法在响应时间和负载均衡方面优于相关方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mobility- and Load-Adaptive Controller Placement and Assignment in LEO Satellite Networks
Software-defined networking (SDN) based LEO satellite networks can make full use of satellite resources through flexible function configuration and efficient resource management of controllers. Consequently, controllers have to be carefully deployed based on dynamical topology and time-varying workload. However, existing work on controller placement and assignment is not applicable to LEO satellite networks with highly dynamic topology and randomly fluctuating load. In this paper, we first formulate the adaptive controller placement and assignment (ACPA) problem and prove its NP-hardness. Then, we propose the control relation graph (CRG) to quantitatively capture the control overhead in LEO satellite networks. Next, we propose the CRG-based controller placement and assignment (CCPA) algorithm with a bounded approximation ratio. Finally, using the predicted topology and estimated traffic load, a lookahead-based improvement algorithm is designed to further decrease the overall management costs. Extensive emulation results demonstrate that the CCPA algorithm outperforms related schemes in terms of response time and load balancing.
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