Proactive load balancing strategy towards intelligence-enabled software-defined network

C Fancy, M Pushpalatha - Arabian Journal for Science and Engineering, 2021 - Springer
Software-defined network provides a greater solution to many of the complex network
management functionalities in a data center network (DCN). In a software-defined data …

Deep learning for load balancing of SDN‐based data center networks

B Babayigit, B Ulu - International Journal of Communication …, 2021 - Wiley Online Library
With the development of new communication technologies, the amount of data transmission
has increased gradually. To satisfy this increasing computing resource demand effectively …

Intelligent load balancing in data center software‐defined networks

E Gilliard, J Liu, AA Aliyu, D Juan… - Transactions on …, 2024 - Wiley Online Library
In response to the increasing demand for efficient resource utilization in data center
networks (DCNs), the development of intelligent load‐balancing algorithms has become …

An efficient traffic management solution in data center networking using SDN

M Dave - 2018 international conference on power energy …, 2018 - ieeexplore.ieee.org
In today's big data era, large scale data centers are the major infrastructure. One goal of
doing research and work in the field of DCNs is to satisfy network transmission demands …

Dynamic load balancing in SDN-based data center networks

U Zakia, HB Yedder - 2017 8th IEEE Annual Information …, 2017 - ieeexplore.ieee.org
With the migration of computational powers and applications to the cloud, Data Center
Networks (DCNs) have become the backbone of the underlying infrastructure. Operation of …

A load balancing method based on artificial neural networks for knowledge-defined data center networking

AMR Ruelas, CE Rothenberg - Proceedings of the 10th Latin America …, 2018 - dl.acm.org
The growth of cloud application services delivered through data centers with varying traffic
demands unveils limitations of traditional load balancing methods. Aiming at attending …

Dynamic load balancing for software-defined data center networks

Y Chen, W Chen, Y Hu, L Zhang, Y Wei - … : Networking, Applications and …, 2017 - Springer
In recent years, along with the increasing demand for cloud services, the network traffic is
increased inside data center networks (DCNs). The inherent defects of TCP/IP network …

Research on dynamic load balancing of data center network based on SDN architecture

S Pang, X Chen, D Zeng - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
With the continuous expansion of the Internet scale, the traditional network load balancing
method combining software and hardware has some problems, such as poor scalability …

(ITMP)–Intelligent traffic management prototype using reinforcement learning approach for software defined data center (SDDC)

B Balakiruthiga, P Deepalakshmi - Sustainable Computing: Informatics and …, 2021 - Elsevier
Software defined network architecture offers scalability and resilience as the significant
advantages to data center networks. This increases the fault tolerance ability of traditional …

DeepRLB: A deep reinforcement learning‐based load balancing in data center networks

N Rikhtegar, O Bushehrian… - International Journal of …, 2021 - Wiley Online Library
Data center networks (DCNs) are facing challenging control problems such as flow
scheduling, congestion control, load balancing, and bandwidth allocation when dynamically …