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Generic Controller Adaptive Load Balancing (GCALB) for SDN Networks

机译:用于SDN网络的通用控制器自适应负载平衡(GCALB)

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Fault tolerance is an important aspect of network resilience. Fault-tolerance mechanisms are required to ensure high availability and high reliability in different environments. The beginning of software-defined networking (SDN) has both presented new challenges and opened a new era to develop new strategies, standards, and architectures to support fault tolerance. In this paper, a study of fault tolerance is performed for two architectures: (1) a single master with multiple slave controllers and (2) multiple slave controllers. The proposed model is called a Generic Controller Adaptive Load Balancing (GCALB) model for SDNs. GCALB adapts the load among slave controllers based on a GCALB algorithm. Mininet simulation tool is utilized for the experimentation phase. Controllers are implemented using floodlights. Experiment results were conducted using GCALB when master controller is taking the responsibility of distributing switches among four and five slave controllers as a case study. Throughput and response time metrics are used to measure performance. GCALB is compared with two reference algorithms: (1) HyperFlow (Kreutz et al., 2012), and (2) Enhanced Controller Fault Tolerant (ECFT) (Aly and Al-anazi, 2018). Results are promising as the performance of GCALB increased by 15% and 12% when compared to HyperFlow and by 13% and 10% when compared to ECFT in terms of throughput and response time.
机译:容错是网络弹性的一个重要方面。需要容差机制以确保不同环境中的高可用性和高可靠性。软件定义网络(SDN)的开始均呈现出新的挑战,并开辟了新的时代,以开发支持容错公差的新策略,标准和架构。在本文中,对两个架构执行了容错的研究:(1)具有多个从控制器的单个主机和(2)多个从控制器。所提出的模型称为SDN的通用控制器自适应负载平衡(GCALB)模型。 GCALB基于GCALB算法适应从控制器之间的负载。 Mininet仿真工具用于实验阶段。控制器使用泛光灯实现。当主控制器担任四个和五个从控制器之间的责任作为案例研究时,使用GCALB进行实验结果。吞吐量和响应时间指标用于测量性能。将GCALB与两种参考算法进行比较:(1)超流量(Kreutz等,2012)和(2)增强控制器容错(ECFT)(ALY和Al-Anazi,2018)。结果是有前途的,因为GCALB的性能增加了15%和12%与超流和13&#x0025相比;和10%与ECFT相比吞吐量和响应时间相比。

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