Swamidoss, Mathumohan  <br/><br/>
Enhanced ensemble method on optimization for resource allocation in software-defined networking environments 

 - Vol.14(4), Apr 
 - Chennai  ICT Academy  2024 
 - 3317-3322p. 
<br/><br/> Software-Defined Networking (SDN) offers flexibility and<br/>programmability in network management, but efficient resource<br/>allocation remains a challenge due to dynamic traffic patterns and<br/>diverse service requirements. This paper proposes an Enhanced<br/>Ensemble Method (EEM) for optimizing resource allocation in SDN<br/>environments. EEM integrates multiple ensemble learning techniques,<br/>leveraging their complementary strengths to enhance prediction<br/>accuracy and robustness. The key contribution lies in the novel<br/>integration of ensemble methods tailored for SDN resource allocation,<br/>offering improved adaptability to changing network conditions and<br/>service demands. Evaluation on real-world SDN datasets demonstrates<br/>that EEM outperforms existing methods in terms of both resource<br/>utilization efficiency and service quality. Notably, EEM achieves<br/>significant improvements in network throughput, latency reduction,<br/>and resource utilization balance. 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer Engineering