An Active Controller Selection Scheme for Minimizing Packet-In Processing Latency in SDN

Abstract

In software-defined network, the use of distributed controllers to control forwarding devices has been proposed to solve the issues of scalability and load balance. However, the forwarding devices are statically assigned to the controllers in these distributed systems, which can overload some controllers while others are underutilized. In this paper, we propose an architecture named ASLB (active controller selection load balance), which proactively selects appropriate controllers for load balancing and minimize packet processing delays. We also present a novel active controller selection algorithm (ACS) for ASLB that efficiently schedules traffic from the switch to the controller and designs an intermediate coordinator for actively selecting a controller to serve a request. We built a system and evaluated it on a physical platform. The results show that ASLB is much better than the static allocation scheme in terms of minimizing latency, bandwidth utilization, and throughput.

ALBRL: Automatic Load-Balancing Architecture Based on Reinforcement Learning in Software-Defined Networking

“…The authors in [11,12] propose a routing strategy that employs the convolutional neural networks (CNN) to select routing paths according to the online network traffic. The authors in [13] propose an active controller selection algorithm to schedule packets between the switch and the controller. The authors in [14] use the predicted link-state value of the LSTM algorithm to optimize network load balancing.…”

“…In recent years, because of its robust learning algorithm and excellent performance, deep learning has been gradually applied to computer networks. Many studies have used supervised learning methods in SDN to realize intelligent network management [8][9][10][11][12][13][14]. However, supervised learning requires a great many datasets for training, and slow decision-making in dynamic network scenarios also poses a problem.…”

Design of intelligent traffic load balancing (ITLB) mechanism for software defined data center (SDDC)

“…Haisheng et. al [10] proposed a mechanism of selecting controllers for load balancing and packet processing delay. They have also suggested an approach to effectively schedule traffic from switch to controllers.…”