Abstract

GILCES, Carlos Enrique Minda  and  VILLAMAR, Rubén Pacheco. Dynamic Load Balancing Application for Servers, Based on Software Defined Networking. RISTI [online]. 2019, n.32, pp.67-82. ISSN 1646-9895.  https://doi.org/10.17013/risti.n32.67-82.

A relevant topic in current data network research is network resource optimization. Networks must cope with large volumes of traffic and ensure the availability of services without introducing unnecessary timeouts. This article presents a load balance algorithm based on software defined networks; it uses combined criteria to obtain at runtime, parameters from different nodes in the network to select the server with the best capability to deliver services. The proposed load balancer is written in Python language using the Ryu controller. The implementation of the python code on a switch allows it to act as a network load balancer. Mininet simulation tool was used in the experiment. Results demonstrate that the SDN load balancer obtains a response time up to 50% lower than Round Robin algorithm.

Keywords : SDN; load balancing; networks; servers; OpenFlow.

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