In order to ensure the transmit speed and quality, it is critical to adopt efficient path selection technique for load balancing in complex networks. However, traditional balancing technique is unable to possess global knowledge of the whole network and lacks the ability to find the optimal path. Software Defined Networks (SDN) provides an approach to obtain whole network status. But, the performance of controller limits the extension of SDN. This paper presents a novel intelligent SDN-based architecture and proposes a new scheme to optimize data transmission. The new scheme uses intelligent algorithms to complete three functions, including path selection, the important nodes and flow forecasting. Simulation results demonstrate that the proposed scheme achieves superior performance in terms of both latency and packet loss rate.
Intelligent Optimizing Scheme for Load Balancing in Software Defined Networks
2017-06-01
369835 byte
Conference paper
Electronic Resource
English
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