Intelligent Software Systems for Multi-Tenant Cloud Environments: Challenges and Solutions

Keywords:
Multi-Tenant Cloud, Intelligent Software Systems, IoT, Autonomous Drones, Cloud Security, AI in Agriculture

Abstract:
The rapid adoption of cloud computing has transformed software development and deployment, particularly through multi-tenant architectures that facilitate resource sharing while ensuring data isolation. This paper examines the role of intelligent software systems in multi-tenant cloud environments, addressing key challenges such as scalability, security, and adaptability to diverse user needs. A comprehensive analysis of existing research on multitenant cloud applications, security challenges, and IoT integration is presented. Additionally, the results of an experimental study on the use of autonomous drones for precision spraying in hazelnut plantations were observed and analysed. These drones operate within a cloud-based infrastructure hosted on Microsoft Azure, employing intelligent algorithms for route optimization, weather analysis, and real-time pesticide distribution adjustments. The multi-tenancy aspect is addressed by designing a system that enables multiple plantation owners to use a shared platform while maintaining individualized data and operational configurations. Our findings underscore critical concerns related to data privacy, performance optimization, and fault tolerance in shared cloud environments. Furthermore, we analyse security risks such as cross-tenant data leakage and access control vulnerabilities, offering recommendations for risk mitigation. This study contributes to the advancement of intelligent, cloud-based software architectures, showcasing how AI-driven systems can enhance efficiency and automation in multi-tenant applications. Future research will explore machine learning-based predictive analytics to further optimize resource utilization and strengthen security mechanisms in cloud-based IoT ecosystems.

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IEEE format

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V. Pakević, A. Njeguš, “Intelligent Software Systems for Multi-Tenant Cloud Environments: Challenges and Solutions,” in Sinteza 2025 - International Scientific Conference on Information Technology, Computer Science, and Data Science, Belgrade, Singidunum University, Serbia, 2025, pp. 48-54. doi:10.15308/Sinteza-2025-48-54

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Pakević, V., Njeguš, A. (2025). Intelligent Software Systems for Multi-Tenant Cloud Environments: Challenges and Solutions. Paper presented at Sinteza 2025 - International Scientific Conference on Information Technology, Computer Science, and Data Science. doi:10.15308/Sinteza-2025-48-54

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