27 citations · 37 across the 7 of their papers we have counts for
8 papers
Performance Drift Detection in Machine Learning as a Service (MLaaS) for IoT Environments
Deepak Kanneganti, Sajib Mistry, Sheik Mohammad Mostakim Fattah +3
Machine Learning as a Service (MLaaS) is a powerful cloud paradigm enabling data-driven intelligent applications in Internet of Things (IoT) environments, widely adopted across hea…
Speculative Policy Orchestration: A Latency-Resilient Framework for Cloud-Robotic Manipulation
Chanh Nguyen, Shutong Jin, Florian T. Pokorny +1
Cloud robotics enables robots to offload high-dimensional motion planning and reasoning to remote servers. However, for continuous manipulation tasks requiring high-frequency contr…
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…
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-…
MTF-Grasp: A Multi-tier Federated Learning Approach for Robotic Grasping
Obaidullah Zaland, Erik Elmroth, Monowar Bhuyan
Federated Learning (FL) is a promising machine learning paradigm that enables participating devices to train privacy-preserved and collaborative models. FL has proven its benefits…
Hardware-Level QoS Enforcement Features: Technologies, Use Cases, and Research Challenges
Oliver Larsson, Thijs Metsch, Cristian Klein +1
Recent advancements in commodity server processors have enabled dynamic hardware-based quality-of-service (QoS) enforcement. These features have gathered increasing interest in res…
LA-IMR: Latency-Aware, Predictive In-Memory Routing and Proactive Autoscaling for Tail-Latency-Sensitive Cloud Robotics
Eunil Seo, Chanh Nguyen, Erik Elmroth
Hybrid cloud-edge infrastructures now support latency-critical workloads ranging from autonomous vehicles and surgical robotics to immersive AR/VR. However, they continue to experi…
FloRa: Flow Table Low-Rate Overflow Reconnaissance and Detection in SDN
Ankur Mudgal, Abhishek Verma, Munesh Singh +3
Software Defined Networking (SDN) has evolved to revolutionize next-generation networks, offering programmability for on-the-fly service provisioning, primarily supported by the Op…