Cloud Under Control: A Secure Resource Management Framework for Distributed Platforms

Abstract

As cloud computing continues to evolve toward highly decentralized architectures, the need for secure and efficient resource management in distributed platforms has grown significantly. Modern cloud systems support a wide range of services across geographically dispersed environments, introducing complex challenges in ensuring consistent performance, data security, and operational compliance. Traditional resource management mechanisms often prioritize performance and scalability, with security added as an afterthought. This paper introduces a secure resource management framework specifically tailored for distributed platforms, designed to unify performance optimization with security enforcement. The framework incorporates dynamic monitoring, adaptive policy enforcement, and context-aware allocation strategies to maintain control over cloud resources without compromising data confidentiality or integrity. Through the integration of real-time threat detection, workload sensitivity profiling, and trust-based resource evaluation, the proposed framework enables cloud providers to achieve operational efficiency while adhering to strict security requirements. This paper outlines the core components of the framework, evaluates its effectiveness under various threat scenarios, and discusses its potential for large-scale deployment in next-generation distributed cloud systems.