Dynamic Load Balancing in Cloud Computing: Improving Efficiency and Performance in Real Life Applications

Authors

  • Jasobanta Laha Research Scholar, PG Department of Computer Sc., Fakir Mohan University, Balasore & Assistant Professor, Faculty of Engineering & Technology (FET), Sri Sri University, Cuttack, Odisha, India. Author
  • Sabyasachi Pattnaik Professor, PG Department of Computer Sc., Fakir Mohan University, Balasore, Odisha, India. Author

DOI:

https://doi.org/10.47392/IRJAEH.2024.0298

Keywords:

Real-Time Adaptation, Makespan, Processing Time, Response Time, Dynamic Load Balancing, Cloud Computing

Abstract

Dynamic load balancing in cloud computing is essential for optimizing resource utilization and ensuring high performance of applications and services. This dynamic load balancing in cloud computing is a critical aspect of modern technology, ensuring efficient resource utilization and high performance for various applications and services. This article investigates the application of dynamic load balancing, focusing on the parameters of response time, processing time, and makespan. By analyzing the impact of these parameters, we aim to demonstrate how dynamic load balancing algorithms can effectively distribute workloads in real-time, adapting to changes in demand and system conditions. The study covers practical applications in daily life, including e-commerce platforms, streaming services, online gaming, social media, financial services, healthcare, and education. The findings highlight the importance of dynamic load balancing in enhancing user experiences, operational efficiency, and overall system performance. The paper concludes by emphasizing the need for continued research and development to further optimize dynamic load balancing in cloud computing environments. We explore the use of dynamic load balancing in e-commerce, streaming services, online gaming, social media, financial services, healthcare, and education. The findings highlight the critical role of dynamic load balancing in enhancing user experiences and operational efficiency.

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Published

2024-08-09

How to Cite

Dynamic Load Balancing in Cloud Computing: Improving Efficiency and Performance in Real Life Applications. (2024). International Research Journal on Advanced Engineering Hub (IRJAEH), 2(08), 2192-2196. https://doi.org/10.47392/IRJAEH.2024.0298

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