A Spectral Clustering-Based Decentralized Self-Adaptation Framework for Cloud-Native Service-Oriented Applications

As cloud-native architectures become more prevalent, service-based applications demand robust, scalable, and autonomous management strategies. This paper presents a decentralized self-adaptation mechanism using spectral clustering to dynamically manage services in a cloud environment. The proposed framework enables services to adapt to changing workloads and environmental conditions without centralized control, promoting resilience, scalability, and efficiency.