activity
20222026
most citedEdge Generation Scheduling for DAG Tasks Using Deep Reinforcement Learning

29 citations · 49 across the 7 of their papers we have counts for

collaborators

8 papers

cs.PF2026

ETM2: Empowering Traditional Memory Bandwidth Regulation using ETM

Alexander Zuepke, Ashutosh Pradhan, Daniele Ottaviano +2

The Embedded Trace Macrocell (ETM) is a standard component of Arm's CoreSight architecture, present in a wide range of platforms and primarily designed for tracing and debugging. I…

cs.ET2025

Enabling Security on the Edge: A CHERI Compartmentalized Network Stack

Donato Ferraro, Andrea Bastoni, Alexander Zuepke +1

The widespread deployment of embedded systems in critical infrastructures, interconnected edge devices like autonomous drones, and smart industrial systems requires robust security…

math.OC2025

Multi-Objective Memory Bandwidth Regulation and Cache Partitioning for Multicore Real-Time Systems

Binqi Sun, Zhihang Wei, Andrea Bastoni +5

Memory bandwidth regulation and cache partitioning are widely used techniques for achieving predictable timing in real-time computing systems. Combined with partitioned scheduling,…

cs.PF2025

Arm DynamIQ Shared Unit and Real-Time: An Empirical Evaluation

Ashutosh Pradhan, Daniele Ottaviano, Yi Jiang +4

The increasing complexity of embedded hardware platforms poses significant challenges for real-time workloads. Architectural features such as Intel RDT, Arm QoS, and Arm MPAM are e…

cs.RO2024

A Containerized Microservice Architecture for a ROS 2 Autonomous Driving Software: An End-to-End Latency Evaluation

Tobias Betz, Long Wen, Fengjunjie Pan +6

The automotive industry is transitioning from traditional ECU-based systems to software-defined vehicles. A central role of this revolution is played by containers, lightweight vir…

cs.AR2023★ 1 cited

Co-Optimizing Cache Partitioning and Multi-Core Task Scheduling: Exploit Cache Sensitivity or Not?

Binqi Sun, Debayan Roy, Tomasz Kloda +3

Cache partitioning techniques have been successfully adopted to mitigate interference among concurrently executing real-time tasks on multi-core processors. Considering that the ex…

cs.LG2023★ 29 cited

Edge Generation Scheduling for DAG Tasks Using Deep Reinforcement Learning

Binqi Sun, Mirco Theile, Ziyuan Qin +4

Directed acyclic graph (DAG) tasks are currently adopted in the real-time domain to model complex applications from the automotive, avionics, and industrial domains that implement…

cs.SE2022★ 19 cited

RT-Bench: an Extensible Benchmark Framework for the Analysis and Management of Real-Time Applications

Mattia Nicolella, Shahin Roozkhosh, Denis Hoornaert +2

Benchmarking is crucial for testing and validating any system, even more so in real-time systems. Typical real-time applications adhere to well-understood abstractions: they exhibi…