16 citations · 42 across the 6 of their papers we have counts for
6 papers
Impact of Distributed Rate Limiting on Load Distribution in a Latency-sensitive Messaging Service
Chong Li, Jiangnan Liu, Chenyang Lu +2
The cloud's flexibility and promise of seamless auto-scaling notwithstanding, its ability to meet service level objectives (SLOs) typically calls for some form of control in resour…
RTGPU: Real-Time GPU Scheduling of Hard Deadline Parallel Tasks with Fine-Grain Utilization
An Zou, Jing Li, Christopher D. Gill +1
Many emerging cyber-physical systems, such as autonomous vehicles and robots, rely heavily on artificial intelligence and machine learning algorithms to perform important system op…
Attacking Vision-based Perception in End-to-End Autonomous Driving Models
Adith Boloor, Karthik Garimella, Xin He +3
Recent advances in machine learning, especially techniques such as deep neural networks, are enabling a range of emerging applications. One such example is autonomous driving, whic…
Analysis of Global Fixed-Priority Scheduling for Generalized Sporadic DAG Tasks
Son Dinh, Christopher Gill, Kunal Agrawal
We consider global fixed-priority (G-FP) scheduling of parallel tasks, in which each task is represented as a directed acyclic graph (DAG). We summarize and highlight limitations o…
Simple Physical Adversarial Examples against End-to-End Autonomous Driving Models
Adith Boloor, Xin He, Christopher Gill +2
Recent advances in machine learning, especially techniques such as deep neural networks, are promoting a range of high-stakes applications, including autonomous driving, which ofte…
Real-Time Scheduling via Reinforcement Learning
Robert Glaubius, Terry Tidwell, Christopher Gill +1
Cyber-physical systems, such as mobile robots, must respond adaptively to dynamic operating conditions. Effective operation of these systems requires that sensing and actuation tas…