Autonomic Cloud Computing: Research Perspective

As the cloud infrastructure grows, it becomes more challenging to manage resources in such a massive, diverse, and distributed setting, despite the fact that cloud computing provides computational capabilities on-demand. Due to resource variability and unpredictability, resource allocation issues arise in a cloud setting. A Quality of Service (QoS) based autonomic resource management strategy automates resource management, delivering trustworthy, dependable, and cost-effective cloud services that efficiently execute workloads. Autonomic cloud computing aims to understand how computing systems may autonomously accomplish user-specified "control" objectives without the need for an administrator and without violating the Service Level Agreement (SLA) in a dynamic cloud computing environments. This article presents a research perspective and analysis on autonomous resource allocation in cloud computing, with a focus on QoS and SLA-aware autonomous resource management. The study also discusses the current status of autonomic resource management in the cloud and highlights key next-generation research directions.