Advanced Load Balancing and Traffic Management in IT Systems

Authors

  • Drew mecmenton Department of computer information and technology, University of Hunan China. Author

Keywords:

• Load Balancing • Traffic Management • Dynamic Load Balancing • Global Server Load Balancing • Cloud Computing

Abstract

Advanced load balancing and traffic management are critical components of modern IT systems, ensuring optimal performance, reliability, and scalability. This paper explores contemporary techniques and technologies in load balancing and traffic management, focusing on their application in managing high traffic volumes and distributed systems. It covers various strategies, including dynamic load balancing, global server load balancing (GSLB), and the use of machine learning for traffic optimization. The paper also addresses the integration of these techniques with cloud computing and microservices architectures. Through case studies and industry examples, the research demonstrates how advanced load balancing can enhance system efficiency, reduce downtime, and improve user experience. Additionally, it discusses the challenges and best practices associated with implementing these techniques, providing insights into their impact on IT infrastructure and service delivery.

Downloads

Download data is not yet available.

Downloads

Published

2024-09-05

Similar Articles

1-10 of 165

You may also start an advanced similarity search for this article.