Authors: Sneha Kulkarni
Abstract: Cloud computing has revolutionized the delivery of computing resources, offering scalability, flexibility, and cost efficiency. However, the dynamic and distributed nature of cloud environments poses significant challenges for network performance, including latency, bandwidth limitations, congestion, and reliability issues. Network optimization techniques are essential to ensure efficient data transfer, reduced communication delays, and improved overall system performance. This study provides a comprehensive analysis of various network optimization strategies in cloud environments, including traffic engineering, load balancing, software-defined networking (SDN), network function virtualization (NFV), and caching mechanisms. The study evaluates the effectiveness of these techniques in enhancing network throughput, minimizing latency, and ensuring high availability in cloud-based applications. Additionally, it addresses challenges such as resource contention, dynamic workload allocation, security considerations, and the integration of heterogeneous network infrastructures. By examining current research trends, practical implementations, and performance metrics, this study demonstrates that effective network optimization is critical for achieving reliable, high-performance, and scalable cloud computing solutions.
DOI: https://doi.org/10.5281/zenodo.19647476
