Optimizing Cloud Computing Performance: A Comparative Study of Hybrid and Multi-Cloud Architectures

Authors

  • Mukta Sharma Research scholar Guru Kashi University, Talwandi Sabo, Punjab

DOI:

https://doi.org/10.36676/j.sust.sol.v1.i4.47

Keywords:

Cloud Computing, Hybrid Cloud Architecture, Multi-Cloud Architecture, Performance Optimization

Abstract

The scalability, flexibility, and cost-efficiency offered by cloud computing have completely transformed the way organisations and enterprises handle their IT infrastructure. There has been a lot of buzz around hybrid and multi-cloud architectures recently due to the rising demand for efficient and dependable cloud services. To prevent vendor lock-in and increase redundancy, hybrid cloud architectures mix on-premises infrastructure with public and private cloud environments, while multi-cloud makes use of numerous cloud service providers. The performance optimisation methodologies of hybrid and multi-cloud systems are the main subject of this paper's comparative investigation. Using metrics like efficiency, adaptability, security, scalability, and performance, we compare and contrast the two designs and highlight their respective benefits and drawbacks. We also investigate and assess the effects of numerous optimisation methods on the system's overall performance, such as load balancing, resource allocation, and network performance management. The study's overarching goal is to help businesses optimise their cloud computing strategies by illuminating the factors that should be considered when choosing an architecture.

References

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Published

14-12-2024

How to Cite

Mukta Sharma. (2024). Optimizing Cloud Computing Performance: A Comparative Study of Hybrid and Multi-Cloud Architectures. Journal of Sustainable Solutions, 1(4), 154–157. https://doi.org/10.36676/j.sust.sol.v1.i4.47

Issue

Section

Original Research Articles