A Proposed Adaptive Least Load Ratio Algorithm to Improve Resources Management in Software Defined Network OpenFlow Environment

Abstract

So far, the existing load-balancing schemes (static and dynamic) have not taken over a concise and reasonable mechanism for systematic isolation of the resource counters monitored in the OpenFlow switch periodically. To address the aforementioned issue, the adaptive least load ratio algorithm was proposed and followed a straightforward procedure to generate the best possible decisions based on significant motivation characteristics identified in dynamic load balancing schemes like Least Connection-Based and Least Bandwidth-Based. the study was carried out using the HTTPerf tool as it provided a flexible facility for the generation of various HTTP workloads to evaluate server performance. Results revealed that, while Software defined network was under the influence of client requests load ranging from 0 up to 180 (req/sec), the proposed algorithm confirmed a faster server reply time up to 13.37%, server connection time up to 16.3% and average network throughput was improved up to 8%. Moreover, server CPU utilization time and average queue length were reduced to 2.5% and 14%. respectively. accordingly, and based on what the proposed algorithm has achieved in terms of quantitative performance parameters, it could be adopted in SDN-based data centers.