Dynamic Resource Management and Load Balancing for Enhanced Security in Cloud Infrastructure

In the context of the constantly developing further of the usage of the cloud computing, there is no doubt that the questions of the security and, at the same time, the effectiveness of the program are up to priority. This paper aims at examining dynamic resource management and load balancing as key factors in improving security within cloud infrastructures. Due to the dynamic adaption of resources in term of resource allocation and distribution of workloads these strategies minimize the risks of threats and strength the security prospects for offering constant clients’ satisfaction for availability services. It discusses prior work and develops a new composite method based on machine learning for predictive resource allocation and analyzes the method through simulation. Performance findings show increased security and enhanced system performance, proving the utility of resource dynamic allocation and load distribution in more secure cloud systems. The conclusions are supportive of adaptive solutions, since the identified threats in cloud computing involve dynamic characteristics.