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ORCIDMarco Caccamo
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- affiliation: Technical University of Munich, Germany
- affiliation: University of Illinois, USA
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2020 – today
- 2024
[j43]Mirco Theile
, Daniele Bernardini, Raphael Trumpp, Cristina Piazza, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli:
Learning to Generate All Feasible Actions. IEEE Access 12: 40668-40681 (2024)- [j42]Denis Hoornaert, Golsana Ghaemi, Andrea Bastoni, Renato Mancuso, Marco Caccamo, Giulio Corradi:
Mcti: mixed-criticality task-based isolation. Real Time Syst. 60(2): 328-365 (2024) - [j41]Alexander Zuepke, Andrea Bastoni, Weifan Chen, Marco Caccamo, Renato Mancuso:
MemPol: polling-based microsecond-scale per-core memory bandwidth regulation. Real Time Syst. 60(3): 369-412 (2024) - [j40]Ayoosh Bansal, Hunmin Kim, Simon Yu, Bo Li, Naira Hovakimyan, Marco Caccamo, Lui Sha:
Perception simplex: Verifiable collision avoidance in autonomous vehicles amidst obstacle detection faults. Softw. Test. Verification Reliab. 34(6) (2024) - [j39]Bingzhuo Zhong, Majid Zamani, Marco Caccamo:
Formal Synthesis of Controllers for Uncertain Linear Systems Against -Regular Properties: A Set-Based Approach. IEEE Trans. Autom. Control. 69(1): 214-229 (2024) - [j38]Binqi Sun, Mirco Theile, Ziyuan Qin, Daniele Bernardini, Debayan Roy, Andrea Bastoni, Marco Caccamo:
Edge Generation Scheduling for DAG Tasks Using Deep Reinforcement Learning. IEEE Trans. Computers 73(4): 1034-1047 (2024) - [c117]Binqi Sun, Tomasz Kloda, Chu-Ge Wu, Marco Caccamo:
Partitioned Scheduling and Parallelism Assignment for Real-Time DNN Inference Tasks on Multi-TPU. DAC 2024: 333:1-333:6 - [c116]Binqi Sun, Tomasz Kloda, Marco Caccamo:
Response Time Analysis for Fixed-Priority Preemptive Uniform Multiprocessor Systems. ECRTS 2024: 17:1-17:24 - [c115]Hongpeng Cao, Yanbing Mao, Lui Sha, Marco Caccamo:
Physics-Regulated Deep Reinforcement Learning: Invariant Embeddings. ICLR 2024 - [c114]Marco Caccamo, Daniele Bernardini:
Service Class Based Management Framework for Photovoltaic Self-Consumption. MECO 2024: 1-9 - [c113]Binqi Sun, Tomasz Kloda, Marco Caccamo:
Strict Partitioning for Sporadic Rigid Gang Tasks. RTAS 2024: 252-264 - [c112]Tobias Betz, Long Wen, Fengjunjie Pan, Gemb Kaljavesi, Alexander Zuepke, Andrea Bastoni, Marco Caccamo, Alois Knoll, Johannes Betz:
A Containerized Microservice Architecture for a ROS 2 Autonomous Driving Software: An End-to-End Latency Evaluation. RTCSA 2024: 57-66 - [i40]Benjamin David Evans, Raphael Trumpp, Marco Caccamo, Hendrik Willem Jordaan, Herman Arnold Engelbrecht:
Unifying F1TENTH Autonomous Racing: Survey, Methods and Benchmarks. CoRR abs/2402.18558 (2024) - [i39]Raphael Trumpp, Ehsan Javanmardi, Jin Nakazato, Manabu Tsukada, Marco Caccamo:
RaceMOP: Mapless Online Path Planning for Multi-Agent Autonomous Racing using Residual Policy Learning. CoRR abs/2403.07129 (2024) - [i38]Binqi Sun, Tomasz Kloda, Marco Caccamo:
Strict Partitioning for Sporadic Rigid Gang Tasks. CoRR abs/2403.10726 (2024) - [i37]Mirco Theile, Hongpeng Cao, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli:
Equivariant Ensembles and Regularization for Reinforcement Learning in Map-based Path Planning. CoRR abs/2403.12856 (2024) - [i36]Tobias Betz, Long Wen, Fengjunjie Pan, Gemb Kaljavesi, Alexander Zuepke, Andrea Bastoni, Marco Caccamo, Alois Knoll, Johannes Betz:
A Containerized Microservice Architecture for a ROS 2 Autonomous Driving Software: An End-to-End Latency Evaluation. CoRR abs/2404.12683 (2024) - [i35]Paul Griffioen, Bingzhuo Zhong, Murat Arcak, Majid Zamani, Marco Caccamo:
Data-Driven Controlled Invariant Sets for Gaussian Process State Space Models. CoRR abs/2407.11256 (2024) - [i34]Yihao Cai, Hongpeng Cao, Yanbing Mao, Lui Sha, Marco Caccamo:
Simplex-enabled Safe Continual Learning Machine. CoRR abs/2409.05898 (2024) - 2023
- [j37]Bingzhuo Zhong, Abolfazl Lavaei, Majid Zamani, Marco Caccamo:
Automata-based controller synthesis for stochastic systems: A game framework via approximate probabilistic relations. Autom. 147: 110696 (2023) - [j36]Lucas Matheus dos Santos, Giovani Gracioli, Tomasz Kloda, Marco Caccamo:
Supporting single and multi-core resource access protocols on object-oriented RTOSes. Des. Autom. Embed. Syst. 27(1-2): 31-50 (2023) - [j35]Hongpeng Cao, Lukas Dirnberger, Daniele Bernardini, Cristina Piazza, Marco Caccamo:
6IMPOSE: bridging the reality gap in 6D pose estimation for robotic grasping. Frontiers Robotics AI 10 (2023) - [j34]Rohan Tabish, Rodolfo Pellizzoni, Renato Mancuso, Giovani Gracioli, Reza Mirosanlou, Marco Caccamo:
X-Stream: Accelerating streaming segments on MPSoCs for real-time applications. J. Syst. Archit. 138: 102857 (2023) - [j33]Jiyang Chen, Tomasz Kloda, Rohan Tabish, Ayoosh Bansal, Chien-Ying Chen, Bo Liu, Sibin Mohan, Marco Caccamo, Lui Sha:
SchedGuard++: Protecting against Schedule Leaks Using Linux Containers on Multi-Core Processors. ACM Trans. Cyber Phys. Syst. 7(1): 6:1-6:25 (2023) - [j32]Tomasz Kloda, Giovani Gracioli, Rohan Tabish, Reza Mirosanlou, Renato Mancuso, Rodolfo Pellizzoni, Marco Caccamo:
Lazy Load Scheduling for Mixed-criticality Applications in Heterogeneous MPSoCs. ACM Trans. Embed. Comput. Syst. 22(3): 59:1-59:26 (2023) - [c111]Bingzhuo Zhong, Hongpeng Cao, Majid Zamani, Marco Caccamo:
Towards Safe AI: Sandboxing DNNs-Based Controllers in Stochastic Games. AAAI 2023: 15340-15349 - [c110]Bingzhuo Zhong, Siyuan Liu, Marco Caccamo, Majid Zamani:
Towards Trustworthy AI: Sandboxing AI-Based Unverified Controllers for Safe and Secure Cyber-Physical Systems. CDC 2023: 1833-1840 - [c109]Hongpeng Cao, Yanbing Mao, Lui Sha, Marco Caccamo:
Physics-Model-Regulated Deep Reinforcement Learning Towards Safety & Stability Guarantees. CDC 2023: 8306-8311 - [c108]Jichao Chen, Omid Esrafilian, Harald Bayerlein, David Gesbert, Marco Caccamo:
Model-Aided Federated Reinforcement Learning for Multi-UAV Trajectory Planning in IoT Networks. GLOBECOM (Workshops) 2023: 818-823 - [c107]Junjie Ming, Daniel Bargmann, Hongpeng Cao, Marco Caccamo:
Flexible Gear Assembly with Visual Servoing and Force Feedback. IROS 2023: 8276-8282 - [c106]Sergio Arribas García, Giovani Gracioli, Denis Hoornaert, Tomasz Kloda, Marco Caccamo:
Improving the Execution Time of Industrial Applications through Planned Cache Eviction Policy Selection. ISIE 2023: 1-6 - [c105]Raphael Trumpp, Martin Büchner, Abhinav Valada, Marco Caccamo:
Efficient Learning of Urban Driving Policies Using Bird'View State Representations. ITSC 2023: 4181-4186 - [c104]Raphael Trumpp, Denis Hoornaert, Marco Caccamo:
Residual Policy Learning for Vehicle Control of Autonomous Racing Cars. IV 2023: 1-6 - [c103]Binqi Sun, Tomasz Kloda, Jiyang Chen, Cen Lu, Marco Caccamo:
Schedulability Analysis of Non-preemptive Sporadic Gang Tasks on Hardware Accelerators. RTAS 2023: 147-160 - [c102]Alexander Zuepke, Andrea Bastoni, Weifan Chen, Marco Caccamo, Renato Mancuso:
MemPol: Policing Core Memory Bandwidth from Outside of the Cores. RTAS 2023: 235-248 - [c101]Binqi Sun, Tomasz Kloda, Sergio Arribas García, Giovani Gracioli, Marco Caccamo:
Minimizing Cache Usage for Real-time Systems. RTNS 2023: 200-211 - [c100]Binqi Sun, Debayan Roy, Tomasz Kloda, Andrea Bastoni, Rodolfo Pellizzoni, Marco Caccamo:
Co-Optimizing Cache Partitioning and Multi-Core Task Scheduling: Exploit Cache Sensitivity or Not? RTSS 2023: 224-236 - [c99]Marco Caccamo, Daniele Bernardini:
Service Class Based Management Framework of Photovoltaic Self-Consumption for Existing Residential Buildings. BuildSys 2023: 294-295 - [i33]Mirco Theile, Daniele Bernardini, Raphael Trumpp, Cristina Piazza, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli:
Learning to Generate All Feasible Actions. CoRR abs/2301.11461 (2023) - [i32]Raphael Trumpp, Denis Hoornaert, Marco Caccamo:
Residual Policy Learning for Vehicle Control of Autonomous Racing Cars. CoRR abs/2302.07035 (2023) - [i31]Junjie Ming, Daniel Bargmann, Hongpeng Cao, Marco Caccamo:
Flexible Gear Assembly With Visual Servoing and Force Feedback. CoRR abs/2303.03153 (2023) - [i30]Hongpeng Cao, Yanbing Mao, Lui Sha, Marco Caccamo:
Physical Deep Reinforcement Learning Towards Safety Guarantee. CoRR abs/2303.16860 (2023) - [i29]Hongpeng Cao, Yanbing Mao, Lui Sha, Marco Caccamo:
Physical Deep Reinforcement Learning: Safety and Unknown Unknowns. CoRR abs/2305.16614 (2023) - [i28]Raphael Trumpp, Martin Büchner, Abhinav Valada, Marco Caccamo:
Efficient Learning of Urban Driving Policies Using Bird's-Eye-View State Representations. CoRR abs/2305.19904 (2023) - [i27]Jichao Chen, Omid Esrafilian, Harald Bayerlein, David Gesbert, Marco Caccamo:
Model-aided Federated Reinforcement Learning for Multi-UAV Trajectory Planning in IoT Networks. CoRR abs/2306.02029 (2023) - [i26]Bingzhuo Zhong, Siyuan Liu, Marco Caccamo, Majid Zamani:
Secure-by-Construction Synthesis for Control Systems. CoRR abs/2307.02564 (2023) - [i25]Binqi Sun, Mirco Theile, Ziyuan Qin, Daniele Bernardini, Debayan Roy, Andrea Bastoni, Marco Caccamo:
Edge Generation Scheduling for DAG Tasks using Deep Reinforcement Learning. CoRR abs/2308.14647 (2023) - [i24]Mirco Theile, Harald Bayerlein, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli:
Learning to Recharge: UAV Coverage Path Planning through Deep Reinforcement Learning. CoRR abs/2309.03157 (2023) - [i23]Binqi Sun, Debayan Roy, Tomasz Kloda, Andrea Bastoni, Rodolfo Pellizzoni, Marco Caccamo:
Co-Optimizing Cache Partitioning and Multi-Core Task Scheduling: Exploit Cache Sensitivity or Not? CoRR abs/2310.02959 (2023) - 2022
- [c98]Bingzhuo Zhong, Majid Zamani, Marco Caccamo:
A Set-based Approach for Synthesizing Controllers Enforcing ω-Regular Properties over Uncertain Linear Control Systems. ACC 2022: 1575-1581 - [c97]Bingzhuo Zhong, Majid Zamani, Marco Caccamo:
Synthesizing Safety Controllers for Uncertain Linear Systems: A Direct Data-driven Approach. CCTA 2022: 1278-1284 - [c96]Jayati Singh, Ignacio Sañudo Olmedo, Nicola Capodieci, Andrea Marongiu, Marco Caccamo:
Reconciling QoS and Concurrency in NVIDIA GPUs via Warp-Level Scheduling. DATE 2022: 1275-1280 - [c95]Tomasz Kloda, Jiyang Chen, Antoine Bertout, Lui Sha, Marco Caccamo:
Latency analysis of self-suspending task chains. DATE 2022: 1299-1304 - [c94]Zhishen Zhang, Yuwen Shen, Binqi Sun, Tomasz Kloda, Marco Caccamo:
Memory allocation for low-power real-time embedded microcontroller: a case study. ETFA 2022: 1-4 - [c93]Bingzhuo Zhong, Abolfazl Lavaei, Majid Zamani, Marco Caccamo:
Poster Abstract: Controller Synthesis for Nonlinear Stochastic Games via Approximate Probabilistic Relations. HSCC 2022: 25:1-25:2 - [c92]Hongpeng Cao, Mirco Theile, Federico G. Wyrwal, Marco Caccamo:
Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement Learning. IROS 2022: 9363-9370 - [c91]Ayoosh Bansal, Hunmin Kim, Simon Yu, Bo Li, Naira Hovakimyan, Marco Caccamo, Lui Sha:
Verifiable Obstacle Detection. ISSRE 2022: 61-72 - [c90]Ameneh Nejati, Bingzhuo Zhong, Marco Caccamo, Majid Zamani:
Data-Driven Controller Synthesis of Unknown Nonlinear Polynomial Systems via Control Barrier Certificates. L4DC 2022: 763-776 - [i22]Hongpeng Cao, Mirco Theile, Federico G. Wyrwal, Marco Caccamo:
Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement Learning. CoRR abs/2203.02230 (2022) - [i21]Bingzhuo Zhong, Hongpeng Cao, Majid Zamani, Marco Caccamo:
Sandboxing (AI-based) Unverified Controllers in Stochastic Games: An Abstraction-based Approach with Safe-visor Architecture. CoRR abs/2203.14924 (2022) - [i20]Bingzhuo Zhong, Majid Zamani, Marco Caccamo:
Synthesizing Safety Controllers for Uncertain Linear Systems: A Direct Data-driven Approach. CoRR abs/2206.00354 (2022) - [i19]Hongpeng Cao, Lukas Dirnberger, Daniele Bernardini, Cristina Piazza, Marco Caccamo:
Learning 6D Pose Estimation from Synthetic RGBD Images for Robotic Applications. CoRR abs/2208.14288 (2022) - [i18]Ayoosh Bansal, Hunmin Kim, Simon Yu, Bo Li, Naira Hovakimyan, Marco Caccamo, Lui Sha:
Verifiable Obstacle Detection. CoRR abs/2208.14403 (2022) - [i17]Ayoosh Bansal, Simon Yu, Hunmin Kim, Bo Li, Naira Hovakimyan, Marco Caccamo, Lui Sha:
Synergistic Redundancy: Towards Verifiable Safety for Autonomous Vehicles. CoRR abs/2209.01710 (2022) - 2021
- [j31]Rohan Tabish, Jen-Yang Wen, Rodolfo Pellizzoni, Renato Mancuso, Heechul Yun, Marco Caccamo, Lui Raymond Sha:
An Analyzable Inter-core Communication Framework for High-Performance Multicore Embedded Systems. J. Syst. Archit. 118: 102178 (2021) - [j30]Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert:
Multi-UAV Path Planning for Wireless Data Harvesting With Deep Reinforcement Learning. IEEE Open J. Commun. Soc. 2: 1171-1187 (2021) - [c89]Abolfazl Lavaei, Bingzhuo Zhong, Marco Caccamo, Majid Zamani:
Towards trustworthy AI: safe-visor architecture for uncertified controllers in stochastic cyber-physical systems. CAADCPS@CPSIoTWeek 2021: 7-8 - [c88]Ohchul Kwon, Gero Schwäricke, Tomasz Kloda, Denis Hoornaert, Giovani Gracioli, Marco Caccamo:
Flexible Cache Partitioning for Multi-Mode Real-Time Systems. DATE 2021: 1156-1161 - [c87]Debayan Roy, Clara Hobbs, James H. Anderson, Marco Caccamo, Samarjit Chakraborty:
Timing Debugging for Cyber-Physical Systems. DATE 2021: 1893-1898 - [c86]Mirco Theile, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo:
UAV Path Planning using Global and Local Map Information with Deep Reinforcement Learning. ICAR 2021: 539-546 - [c85]Ayoosh Bansal, Jayati Singh, Micaela Verucchi, Marco Caccamo, Lui Sha:
Risk Ranked Recall: Collision Safety Metric for Object Detection Systems in Autonomous Vehicles. MECO 2021: 1-4 - [c84]Jiyang Chen, Tomasz Kloda, Ayoosh Bansal, Rohan Tabish, Chien-Ying Chen, Bo Liu, Sibin Mohan, Marco Caccamo, Lui Sha:
SchedGuard: Protecting against Schedule Leaks Using Linux Containers. RTAS 2021: 14-26 - [c83]Denis Hoornaert, Shahin Roozkhosh, Renato Mancuso, Marco Caccamo:
Work in Progress: Identifying Unexpected Inter-core Interference Induced by Shared Cache. RTAS 2021: 517-520 - [c82]Gero Schwäricke, Rohan Tabish, Rodolfo Pellizzoni, Renato Mancuso, Andrea Bastoni, Alexander Zuepke, Marco Caccamo:
A Real-Time Virtio-Based Framework for Predictable Inter-VM Communication. RTSS 2021: 27-40 - [c81]Bruna Arruda Araujo, Giovani Gracioli, Tomasz Kloda, Denis Hoornaert, Marco Caccamo:
Implementation and Evaluation of Adaptive Cache Insertion Policies for Real-Time Systems. SBESC 2021: 1-8 - [i16]Bingzhuo Zhong, Abolfazl Lavaei, Hongpeng Cao, Majid Zamani, Marco Caccamo:
Safe-visor Architecture for Sandboxing (AI-based) Unverified Controllers in Stochastic Cyber-Physical Systems. CoRR abs/2102.05490 (2021) - [i15]Jiyang Chen, Tomasz Kloda, Ayoosh Bansal, Rohan Tabish, Chien-Ying Chen, Bo Liu, Sibin Mohan, Marco Caccamo, Lui Sha:
SchedGuard: Protecting against Schedule Leaks Using Linux Containers. CoRR abs/2104.04528 (2021) - [i14]Bingzhuo Zhong, Abolfazl Lavaei, Majid Zamani, Marco Caccamo:
Automata-based Controller Synthesis for Stochastic Systems: A Game Framework via Approximate Probabilistic Relations. CoRR abs/2104.11803 (2021) - [i13]Ayoosh Bansal, Jayati Singh, Micaela Verucchi, Marco Caccamo, Lui Sha:
Risk Ranked Recall: Collision Safety Metric for Object Detection Systems in Autonomous Vehicles. CoRR abs/2106.04146 (2021) - [i12]Mirco Theile, Jonathan Ponniah, Or D. Dantsker, Marco Caccamo:
Multi-Agent Belief Sharing through Autonomous Hierarchical Multi-Level Clustering. CoRR abs/2107.09973 (2021) - [i11]Bingzhuo Zhong, Majid Zamani, Marco Caccamo:
Sandboxing Controllers for Stochastic Cyber-Physical Systems. CoRR abs/2109.11264 (2021) - [i10]Bingzhuo Zhong, Majid Zamani, Marco Caccamo:
Formal Synthesis of Controllers for Uncertain Linear Systems against ω-Regular Properties: A Set-based Approach. CoRR abs/2111.08734 (2021) - 2020
- [j29]Pushpak Jagtap, Fardin Abdi, Matthias Rungger, Majid Zamani, Marco Caccamo:
Software Fault Tolerance for Cyber-Physical Systems via Full System Restart. ACM Trans. Cyber Phys. Syst. 4(4): 47:1-47:20 (2020) - [c80]Gero Schwäricke, Tomasz Kloda, Giovani Gracioli, Marko Bertogna, Marco Caccamo:
Fixed-Priority Memory-Centric Scheduler for COTS-Based Multiprocessors. ECRTS 2020: 1:1-1:24 - [c79]Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert:
UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach. GLOBECOM 2020: 1-6 - [c78]Mirco Theile, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo:
UAV Coverage Path Planning under Varying Power Constraints using Deep Reinforcement Learning. IROS 2020: 1444-1449 - [c77]Ayoosh Bansal, Jayati Singh, Yifan Hao, Jen-Yang Wen, Renato Mancuso, Marco Caccamo:
Reconciling Predictability and Coherent Caching. MECO 2020: 1-6 - [c76]Rohan Tabish, Jen-Yang Wen, Rodolfo Pellizzoni, Renato Mancuso, Heechul Yun, Marco Caccamo, Lui Sha:
SCE-Comm: A Real-Time Inter-Core Communication Framework for Strictly Partitioned Multi-core Processors. MECO 2020: 1-6 - [c75]Micaela Verucchi, Mirco Theile, Marco Caccamo, Marko Bertogna:
Latency-Aware Generation of Single-Rate DAGs from Multi-Rate Task Sets. RTAS 2020: 226-238 - [c74]Debayan Roy, Sumana Ghosh, Qi Zhu, Marco Caccamo, Samarjit Chakraborty:
GoodSpread: Criticality-Aware Static Scheduling of CPS with Multi-QoS Resources. RTSS 2020: 178-190 - [c73]Lucas Matheus dos Santos, Giovani Gracioli, Tomasz Kloda, Marco Caccamo:
On the Design and Implementation of Real-Time Resource Access Protocols. SBESC 2020: 1-8 - [i9]Mirco Theile, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo:
UAV Coverage Path Planning under Varying Power Constraints using Deep Reinforcement Learning. CoRR abs/2003.02609 (2020) - [i8]Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert:
UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach. CoRR abs/2007.00544 (2020) - [i7]Mirco Theile, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo:
UAV Path Planning using Global and Local Map Information with Deep Reinforcement Learning. CoRR abs/2010.06917 (2020) - [i6]Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert:
Multi-UAV Path Planning for Wireless Data Harvesting with Deep Reinforcement Learning. CoRR abs/2010.12461 (2020)
2010 – 2019
- 2019
- [j28]Fardin Abdi, Chien-Ying Chen, Monowar Hasan, Songran Liu, Sibin Mohan, Marco Caccamo:
Preserving Physical Safety Under Cyber Attacks. IEEE Internet Things J. 6(4): 6285-6300 (2019) - [j27]Rohan Tabish, Renato Mancuso, Saud Wasly, Rodolfo Pellizzoni, Marco Caccamo:
A real-time scratchpad-centric OS with predictable inter/intra-core communication for multi-core embedded systems. Real Time Syst. 55(4): 850-888 (2019) - [c72]Giovani Gracioli, Rohan Tabish, Renato Mancuso, Reza Mirosanlou, Rodolfo Pellizzoni, Marco Caccamo:
Designing Mixed Criticality Applications on Modern Heterogeneous MPSoC Platforms. ECRTS 2019: 27:1-27:25 - [c71]Bingzhuo Zhong, Majid Zamani, Marco Caccamo:
Sandboxing Controllers for Stochastic Cyber-Physical Systems. FORMATS 2019: 247-264 - [c70]Mirco Theile, Simon Yu, Or D. Dantsker, Marco Caccamo:
Trajectory Estimation for Geo-Fencing Applications on Small-Size Fixed-Wing UAVs. IROS 2019: 1971-1977 - [c69]Muhammad R. Soliman, Giovani Gracioli, Rohan Tabish, Rodolfo Pellizzoni, Marco Caccamo:
Segment Streaming for the Three-Phase Execution Model: Design and Implementation. RTSS 2019: 260-273 - [i5]Ayoosh Bansal, Jayati Singh, Yifan Hao, Jen-Yang Wen, Renato Mancuso, Marco Caccamo:
Cache Where you Want! Reconciling Predictability and Coherent Caching. CoRR abs/1909.05349 (2019) - 2018
- [c68]Fardin Abdi, Chien-Ying Chen, Monowar Hasan, Songran Liu, Sibin Mohan, Marco Caccamo:
Guaranteed physical security with restart-based design for cyber-physical systems. ICCPS 2018: 10-21 - [c67]Mirco Theile, Or D. Dantsker, Richard Nai, Marco Caccamo:
uavEE: A Modular, Power-Aware Emulation Environment for Rapid Prototyping and Testing of UAVs. RTCSA 2018: 217-224 - [i4]Pushpak Jagtap, Fardin Abdi, Matthias Rungger, Majid Zamani, Marco Caccamo:
Software Fault Tolerance for Cyber-Physical Systems via Full System Restart. CoRR abs/1812.03546 (2018) - 2017
- [j26]Alessandra Melani, Renato Mancuso, Daniel Cullina, Marco Caccamo, Lothar Thiele:
Optimizing resource speed for two-stage real-time tasks. Real Time Syst. 53(1): 82-120 (2017) - [c66]Renato Mancuso, Rodolfo Pellizzoni, Neriman Tokcan, Marco Caccamo:
WCET Derivation under Single Core Equivalence with Explicit Memory Budget Assignment. ECRTS 2017: 3:1-3:23 - [c65]Fardin Abdi, Rohan Tabish, Matthias Rungger, Majid Zamani, Marco Caccamo:
Application and system-level software fault tolerance through full system restarts. ICCPS 2017: 197-206 - [c64]Rohan Tabish, Renato Mancuso, Saud Wasly, Sujit S. Phatak, Rodolfo Pellizzoni, Marco Caccamo:
A Reliable and Predictable Scratchpad-centric OS for Multi-core Embedded Systems. RTAS 2017: 377-388 - [c63]Fardin Abdi, Renato Mancuso, Rohan Tabish, Marco Caccamo:
Restart-based fault-tolerance: System design and schedulability analysis. RTCSA 2017: 1-10 - [c62]Alessandra Melani, Renato Mancuso, Marco Caccamo, Giorgio C. Buttazzo, Johannes Freitag, Sascha Uhrig:
A scheduling framework for handling integrated modular avionic systems on multicore platforms. RTCSA 2017: 1-10 - [i3]