Frontiers in Emerging Computer Science and Information Technology

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Frontiers in Emerging Computer Science and Information Technology

Article Details Page

A Framework for Performance Optimization of Hybrid Azure AD Join Across Complex Multi-Forest Deployments

Authors

  • Viktor Sokolov Faculty of Computer Engineering, ITMO University, Saint Petersburg, Russia
  • Dmitry Ivanov Department of Information Systems and Network Security, Moscow Institute of Physics and Technology (MIPT), Moscow, Russia

Keywords:

Azure Active Directory, Hybrid Azure AD Join, Multi-Forest Active Directory, Identity and Access Management (IAM), Performance Optimization, Cloud Security, Single Sign-On (SSO)

Abstract

Background: The increasing adoption of hybrid cloud models has made the integration of on-premises Active Directory (AD) with Azure Active Directory (Azure AD) a critical component of modern enterprise IT infrastructure. However, organizations with complex, multi-forest AD environments often face significant challenges in optimizing the performance of Hybrid Azure AD Join, leading to a degraded user experience and increased administrative overhead.

Objective: This study aims to identify and evaluate strategies for optimizing the performance of Hybrid Azure AD Join across multi-forest deployments.

Methods: We employed a mixed-methods approach, combining a quantitative analysis of performance data from a simulated multi-forest AD environment with a qualitative analysis of semi-structured interviews with experienced IT administrators. Key performance indicators (KPIs) such as device registration times, user logon times, and synchronization latency were measured and analyzed [50,51].

Results: Our findings indicate that several factors, including the configuration of Azure AD Connect, the network topology, and the number of forests and domains, have a significant impact on the performance of Hybrid Azure AD Join. The qualitative data revealed a set of best practices and common pitfalls to avoid when implementing and managing Hybrid Azure AD Join in complex environments. [53,54]

Conclusion: Based on our findings, we propose a framework of actionable recommendations for optimizing the performance of Hybrid Azure AD Join in multi-forest deployments. This study contributes to the existing body of knowledge by providing a comprehensive, evidence-based guide for IT professionals tasked with managing hybrid identity and access management systems.

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Published

2025-10-04

How to Cite

Viktor Sokolov, & Dmitry Ivanov. (2025). A Framework for Performance Optimization of Hybrid Azure AD Join Across Complex Multi-Forest Deployments. Frontiers in Emerging Computer Science and Information Technology, 2(10), 01–14. Retrieved from https://irjernet.com/index.php/fecsit/article/view/227