From the 1 of 5 linked papers with an AI index.
5 papers
LA-IMR: Latency-Aware, Predictive In-Memory Routing and Proactive Autoscaling for Tail-Latency-Sensitive Cloud Robotics
Eunil Seo, Chanh Nguyen, Erik Elmroth
The paper introduces LA-IMR, a control layer that predicts utilization‑driven latency and uses it to make millisecond‑scale routing and proactive autoscaling decisions, reducing 99…
Trust-Aware Routing for Distributed Generative AI Inference at the Edge
Chanh Nguyen, Erik Elmroth
Emerging deployments of Generative AI increasingly execute inference across decentralized and heterogeneous edge devices rather than on a single trusted server. In such environment…
Taming Cold Starts: Proactive Serverless Scheduling with Model Predictive Control
Chanh Nguyen, Monowar Bhuyan, Erik Elmroth
Serverless computing has transformed cloud application deployment by introducing a fine-grained, event-driven execution model that abstracts away infrastructure management. Its on-…
Silent Failures in Stateless Systems: Rethinking Anomaly Detection for Serverless Computing
Chanh Nguyen, Erik Elmroth, Monowar Bhuyan
Serverless computing has redefined cloud application deployment by abstracting infrastructure and enabling on-demand, event-driven execution, thereby enhancing developer agility an…
Federated Learning for Large-Scale Cloud Robotic Manipulation: Opportunities and Challenges
Obaidullah Zaland, Chanh Nguyen, Florian T. Pokorny +1
Federated Learning (FL) is an emerging distributed machine learning paradigm, where the collaborative training of a model involves dynamic participation of devices to achieve broad…