The collection covers various aspects of distributed computing, highlighting advancements and frameworks that improve data management, processing efficiency, security, and resource optimization. Topics include edge computing models, cloud storage solutions, caching strategies for AI workloads, and architectural design challenges. Additionally, it explores significant applications in data infrastructures, parallel processing systems, and the evolution of technologies such as grid computing. The emphasis is on enhancing performance, scalability, and reliability across diverse computing environments in response to growing data needs.
Online Identification of IT Systems through Active Causal Learning
