Vol. 4 No. 2 (2024): July−December 2024
Short Articles

Ensuring Optimal Performance in Secure Multi-Tenant Cloud Deployments

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  • Aditya S Shethiya
Aditya S Shethiya
University of Bridgeport, Connecticut, USA

Published 2024-10-15

Keywords

  • Cloud Computing,
  • Multi-Tenancy,
  • Performance Optimization,
  • Security Isolation,
  • Virtualization, Containerization

How to Cite

Shethiya, A. S. (2024). Ensuring Optimal Performance in Secure Multi-Tenant Cloud Deployments. Spectrum of Research, 4(2). Retrieved from https://spectrumofresearch.com/index.php/sr/article/view/25

Copyright (c) 2024 Spectrum of Research

Creative Commons License

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

Abstract

The proliferation of cloud computing has ushered in a paradigm shift in how computing resources are provisioned, accessed, and scaled. Multi-tenancy, a foundational principle of cloud architecture, enables multiple users or organizations (tenants) to share the same infrastructure while maintaining logical data and resource isolation. While this model offers significant cost and scalability advantages, it presents unique challenges in balancing performance optimization and security enforcement. This paper explores engineering strategies and architectural practices for ensuring optimal performance in secure multi-tenant cloud deployments. It examines resource allocation, isolation techniques, workload orchestration, and security policies that protect tenant data and services while minimizing performance degradation. The work highlights the role of virtualization, containerization, and emerging technologies like confidential computing and AI-driven optimization in achieving high-efficiency, secure multi-tenant environments. Ultimately, the goal is to provide a blueprint for cloud architects to build and manage systems that meet the demands of modern enterprises without compromising on performance or security.

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