Optimizing Performance in Cloud-Based Applications: Challenges and Solutions

Authors

  • Vasudevan Senathi Ramdoss  Senior Performance Engineer, Overland Park, Kansas, USA

DOI:

https://doi.org/10.32628/CSEIT228129

Keywords:

Cloud Computing, Performance Optimization, Latency, Resource Allocation, Scalability, Edge Computing, AI-Driven Optimization, 5G Technology

Abstract

The digital world has evolved because cloud computing delivers scalable solutions that are both cost-effective and efficient. Despite the advantages of scalable and cost-effective computing solutions in cloud-based systems performance optimization continues to be a significant challenge because of latency issues alongside resource allocation and scalability problems. Optimization of cloud-based application performance continues to pose a significant challenge because of latency issues alongside resource allocation complexities and scalability requirements. This study examines the main obstacles to cloud performance optimization and describes successful approaches such as content delivery networks together with edge computing, auto-scaling and serverless computing. The paper also analyzes practical case studies alongside new trends in AI-driven optimization and 5G technology. The research results highlight how ongoing innovation is essential to maintaining top-tier cloud computing operations.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-02-28

Issue

Volume 7, Issue 1, January-February-2021

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Vasudevan Senathi Ramdoss, " Optimizing Performance in Cloud-Based Applications: Challenges and Solutions" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 1, pp.326-331, January-February-2021. Available at doi : https://doi.org/10.32628/CSEIT228129