Luca Petrucci

Orcid: 0000-0003-3559-2838

According to our database1, Luca Petrucci authored at least 15 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Using a Machine Learning Approach to Evaluate the NOx Emissions in a Spark-Ignition Optical Engine.
Inf., April, 2023

$\mu$μBench: An Open-Source Factory of Benchmark Microservice Applications.
IEEE Trans. Parallel Distributed Syst., March, 2023

Storage-Saving Scheduling Policies for Clusters Running Containers.
IEEE Trans. Cloud Comput., 2023

Investigation of a Hybrid LSTM + 1DCNN Approach to Predict In-Cylinder Pressure of Internal Combustion Engines.
Inf., 2023

NARX Technique to Predict Torque in Internal Combustion Engines.
Inf., 2023

CWL-PLAS: Task Workflows Assisted by Data Science Cloud Platforms.
IEEE Access, 2023


2022
hXDP: Efficient software packet processing on FPGA NICs.
Commun. ACM, 2022

2021
VirIoT: A Cloud of Things That Offers IoT Infrastructures as a Service.
Sensors, 2021

2020
Europe's First 5G-Ready Railway Trial Utilizing Integrated Optical Passive WDM Access and Broadband Millimeter-Wave to Deliver Multi-Gbit/s Seamless Connectivity.
Proceedings of the European Conference on Optical Communications, 2020

2017
Implementing a Per-Flow Token Bucket Using Open Packet Processor.
Proceedings of the Digital Communication. Towards a Smart and Secure Future Internet, 2017

Implementing iptables using a programmable stateful data plane abstraction: Demo.
Proceedings of the Symposium on SDN Research, 2017

Demo: Implementing advanced network functions with stateful programmable data planes.
Proceedings of the 2017 IEEE International Symposium on Local and Metropolitan Area Networks, 2017

Implementing advanced network functions for datacenters with stateful programmable data planes.
Proceedings of the 2017 IEEE International Symposium on Local and Metropolitan Area Networks, 2017

2016
Towards a Stateful Forwarding Abstraction to Implement Scalable Network Functions in Software and Hardware.
CoRR, 2016


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