R. Buyya

Current adaptive microservice management systems only scratch the surface of real-world production dynamics, and their purported gains may be overstated.

Like the periodic table for chemistry, a new "periodic framework" promises to bring order and predictability to the chaotic world of distributed computing.

Federated reinforcement learning can now handle heterogeneous, adversarial IoT environments with near-zero deadline violations, thanks to a novel decentralized framework that transfers knowledge across silos.

Overcome the scalability bottleneck of GNN-based root cause analysis in edge computing by cascading subnetworks over clustered service graphs, achieving near-constant inference latency without sacrificing accuracy.

Squeeze 26% more energy efficiency and slash job completion times by 31% in heterogeneous GPU clusters with HeShare's smart task scheduling and adaptive resource management.

Circuit cutting introduces substantial end-to-end overheads in quantum neural network training, with reconstruction dominating per-query time, but surprisingly, test accuracy and robustness can be preserved or even improved.

Agentic AI is more than just LLMs generating text; it's about autonomous systems that perceive, reason, plan, and act, and this paper offers a unified taxonomy to navigate this rapidly evolving landscape.