Andrea Morichetta

56 papers A 2B 6C 1Misc 2Journal 26Unranked 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
FLISC$^{3}$3: Federated Learning-Oriented Resource Optimization in ISCC-Enabled Edge Collaborative Networks.
IEEE Trans. Serv. Comput.
An Du, Jie Jia, Schahram Dustdar, Andrea Morichetta, Jian Chen, Xingwei Wang
2025 J jnl
Adaptive stream processing on edge devices through active inference.
Evol. Syst.
Boris Sedlak, Víctor Casamayor-Pujol, Andrea Morichetta, Praveen Kumar Donta, Schahram Dustdar
2025 J jnl
BIPPO: Budget-Aware Independent PPO for Energy-Efficient Federated Learning Services.
CoRR
Anna Lackinger, Andrea Morichetta, Pantelis A. Frangoudis, Schahram Dustdar
2025 J jnl
Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum.
CoRR
Andrea Morichetta, Stefan Nastic, Víctor Casamayor-Pujol, Schahram Dustdar
2025 Misc conf
HPAQT: Adaptive and Interpretable High-level SLO-aware Autoscaling with Reinforcement Learning.
UCC
Robin Mayerhofer, Andrea Morichetta, Alireza Furutanpey, Schahram Dustdar
2025 B conf
Intent-to-Learning Translation for Computing Continuum Management.
ICNP
Cveta Capova, Andrea Morichetta, Anna Lackinger, Schahram Dustdar
2025 J jnl
MACH: Multi-Agent Coordination for RSU-centric Handovers.
CoRR
Nikolaus Spring, Andrea Morichetta, Boris Sedlak, Schahram Dustdar
2025 J jnl
Multi-Dimensional Autoscaling of Stream Processing Services on Edge Devices.
CoRR
Boris Sedlak, Philipp Raith, Andrea Morichetta, Víctor Casamayor-Pujol, Schahram Dustdar
2025 — conf
Towards Multi-dimensional Elasticity for Pervasive Stream Processing Services.
PerCom Workshops
Boris Sedlak, Andrea Morichetta, Philipp Raith, Víctor Casamayor-Pujol, Schahram Dustdar
2025 J jnl
Towards Multi-dimensional Elasticity for Pervasive Stream Processing Services.
CoRR
Boris Sedlak, Andrea Morichetta, Philipp Raith, Víctor Casamayor-Pujol, Schahram Dustdar
2025 B conf
inCoord: Intent-based Coordination in the Multi-domain Cloud-Edge Continuum.
ICNP
Andrea Morichetta, Juan Brenes, Mikhail Kolobov, Djawida Dib, Thijs Metsch, Anna Lackinger, Cveta Capova, Hui Song, Rustem Dautov, Ahmed Khalid, Sigmund Akselsen, Arne Munch-Ellingsen, Schahram Dustdar
2024 J jnl
Adaptive Stream Processing on Edge Devices through Active Inference.
CoRR
Boris Sedlak, Víctor Casamayor-Pujol, Andrea Morichetta, Praveen Kumar Donta, Schahram Dustdar
2024 — conf
Cohabitation of Intelligence and Systems: Towards Self-reference in Digital Anatomies.
SOSE
Andrea Morichetta, Anna Lackinger, Schahram Dustdar
2024 J jnl
Distributed AI in Zero-Touch Provisioning for Edge Networks: Challenges and Research Directions.
Computer
Abhishek Hazra, Andrea Morichetta, Ilir Murturi, Lauri Lovén, Chinmaya Kumar Dehury, Víctor Casamayor-Pujol, Praveen Kumar Donta, Schahram Dustdar
2024 — conf
Distributed Model Serving for Real-time Opinion Detection.
SOSE
Paul Pinter, Andrea Morichetta, Schahram Dustdar
2024 — conf
INTEND: Human-Like Intelligence for Intent-Based Data Operations in the Cognitive Computing Continuum.
RuleML+RR (Companion)
Rustem Dautov, Hui Song, Dumitru Roman, Erik Johannes Husom, Sagar Sen, Vilija Balionyte-Merle, Donatella Firmani, Francesco Leotta, Jerin George Mathew, Jacopo Rossi, Lorenzo Balzotti, Andrea Morichetta, Schahram Dustdar, Thijs Metsch, Valerio Frascolla, Ahmed Khalid, Giada Landi, Juan Brenes, Ioan Toma, Róbert Szabó, Christian Schaefer, Seonghyun Kim, Cosmin Udroiu, Alexandre Ulisses, Verena Pietsch, Sigmund Akselsen, Arne Munch-Ellingsen, Irena Pavlova, Dessislava Petrova-Antonova, Hong-Gee Kim, Changsoo Kim, Bob Allen, Sunwoo Kim, Paulson Eberechukwu
2024 — conf
INTEND: Intent-Based Data Operation in the Computing Continuum.
CAiSE Research Projects Exhibition
Donatella Firmani, Francesco Leotta, Jerin George Mathew, Jacopo Rossi, Lorenzo Balzotti, Hui Song, Dumitru Roman, Rustem Dautov, Erik Johannes Husom, Sagar Sen, Vilija Balionyte-Merle, Andrea Morichetta, Schahram Dustdar, Thijs Metsch, Valerio Frascolla, Ahmed Khalid, Giada Landi, Juan Brenes, Ioan Toma, Róbert Szabó, Christian Schaefer, Cosmin Udroiu, Alexandre Ulisses, Verena Pietsch, Sigmund Akselsen, Arne Munch-Ellingsen, Irena Pavlova, Hong-Gee Kim, Changsoo Kim, Bob Allen, Sunwoo Kim, Paulson Eberechukwu
2024 J jnl
RainCloud: Decentralized Coordination and Communication in Heterogeneous IoT Swarms.
CoRR
Filip Loisel, Geri Zeqo, Andrea Morichetta, Anna Lackinger, Schahram Dustdar
2024 — conf
SLO-Aware Task Offloading Within Collaborative Vehicle Platoons.
ICSOC (2)
Boris Sedlak, Andrea Morichetta, Yuhao Wang, Yang Fei, Liang Wang, Schahram Dustdar, Xiaobo Qu
2024 J jnl
SLO-Aware Task Offloading within Collaborative Vehicle Platoons.
CoRR
Boris Sedlak, Andrea Morichetta, Yuhao Wang, Yang Fei, Liang Wang, Schahram Dustdar, Xiaobo Qu
2024 — conf
Time Series Predictions for Cloud Workloads: A Comprehensive Evaluation.
SOSE
Anna Lackinger, Andrea Morichetta, Schahram Dustdar
2024 — conf
Towards Adaptive Asynchronous Federated Learning for Human Activity Recognition.
IoT
Rastko Gajanin, Anastasiya Danilenka, Andrea Morichetta, Stefan Nastic
2024 J jnl
Towards Adaptive Asynchronous Federated Learning for Human Activity Recognition.
CoRR
Rastko Gajanin, Anastasiya Danilenka, Andrea Morichetta, Stefan Nastic
2023 B conf
Demystifying deep learning in predictive monitoring for cloud-native SLOs.
CLOUD
Andrea Morichetta, Thomas W. Pusztai, Deepak Vij, Víctor Casamayor-Pujol, Philipp Raith, Ying Xiong, Stefan Nastic, Schahram Dustdar, Zhaobo Zhang
2023 J jnl
Distributed AI in Zero-touch Provisioning for Edge Networks: Challenges and Research Directions.
CoRR
Abhishek Hazra, Andrea Morichetta, Ilir Murturi, Lauri Lovén, Chinmaya Kumar Dehury, Víctor Casamayor-Pujol, Praveen Kumar Donta, Schahram Dustdar
2023 J jnl
Edge Intelligence - Research Opportunities for Distributed Computing Continuum Systems.
IEEE Internet Comput.
Víctor Casamayor-Pujol, Praveen Kumar Donta, Andrea Morichetta, Ilir Murturi, Schahram Dustdar
2023 — conf
FL-SERENADE: Federated Learning for SEmi-supeRvisEd Network Anomaly DEtection. A Case Study.
DASC/PiCom/CBDCom/CyberSciTech
Veronika Bekbulatova, Andrea Morichetta, Schahram Dustdar
2023 J jnl
Fundamental Research Challenges for Distributed Computing Continuum Systems.
Inf.
Víctor Casamayor-Pujol, Andrea Morichetta, Ilir Murturi, Praveen Kumar Donta, Schahram Dustdar
2023 — conf
Intelligent Sampling: A Novel Approach to Optimize Workload Scheduling in Large-Scale Heterogeneous Computing Continuum.
SOSE
Víctor Casamayor-Pujol, Andrea Morichetta, Stefan Nastic
2023 — conf
Intent-based Management for the Distributed Computing Continuum.
SOSE
Andrea Morichetta, Nikolaus Spring, Philipp Raith, Schahram Dustdar
2023 — conf
Learning-Driven Zero Trust in Distributed Computing Continuum Systems.
DASC/PiCom/CBDCom/CyberSciTech
Ilir Murturi, Praveen Kumar Donta, Víctor Casamayor-Pujol, Andrea Morichetta, Schahram Dustdar
2023 J jnl
Learning-driven Zero Trust in Distributed Computing Continuum Systems.
CoRR
Ilir Murturi, Praveen Kumar Donta, Víctor Casamayor-Pujol, Andrea Morichetta, Schahram Dustdar
2023 — conf
PolarisProfiler: A Novel Metadata-Based Profiling Approach for Optimizing Resource Management in the Edge-Cloud Continnum.
SOSE
Andrea Morichetta, Víctor Casamayor-Pujol, Stefan Nastic, Schahram Dustdar, Deepak Vij, Ying Xiong, Zhaobo Zhang
2022 J jnl
Cooperative Multiagent Deep Reinforcement Learning for Computation Offloading: A Mobile Network Operator Perspective.
IEEE Internet Things J.
Kexin Li, Xingwei Wang, Qiang He, Bo Yi, Andrea Morichetta, Min Huang
2022 — conf
Distributed Computing Continuum Systems - Opportunities and Research Challenges.
ICSOC Workshops
Víctor Casamayor-Pujol, Praveen Kumar Donta, Andrea Morichetta, Ilir Murturi, Schahram Dustdar
2022 C conf
High-Level Metrics for Service Level Objective-aware Autoscaling in Polaris: a Performance Evaluation.
ICFEC
Nicolò Bartelucci, Paolo Bellavista, Thomas W. Pusztai, Andrea Morichetta, Schahram Dustdar
2022 Misc conf
Polaris Scheduler: SLO- and Topology-aware Microservices Scheduling at the Edge.
UCC
Thomas W. Pusztai, Stefan Nastic, Andrea Morichetta, Víctor Casamayor-Pujol, Philipp Raith, Schahram Dustdar, Deepak Vij, Ying Xiong, Zhaobo Zhang
2021 B conf
A Novel Middleware for Efficiently Implementing Complex Cloud-Native SLOs.
CLOUD
Thomas W. Pusztai, Andrea Morichetta, Víctor Casamayor-Pujol, Schahram Dustdar, Stefan Nastic, Xiaoning Ding, Deepak Vij, Ying Xiong
2021 — conf
A roadmap on learning and reasoning for distributed computing continuum ecosystems.
EDGE
Andrea Morichetta, Víctor Casamayor-Pujol, Schahram Dustdar
2021 B conf
Polaris Scheduler: Edge Sensitive and SLO Aware Workload Scheduling in Cloud-Edge-IoT Clusters.
CLOUD
Stefan Nastic, Thomas W. Pusztai, Andrea Morichetta, Víctor Casamayor-Pujol, Schahram Dustdar, Deepak Vij, Ying Xiong
2021 A conf
SLO Script: A Novel Language for Implementing Complex Cloud-Native Elasticity-Driven SLOs.
ICWS
Thomas W. Pusztai, Andrea Morichetta, Víctor Casamayor-Pujol, Schahram Dustdar, Stefan Nastic, Xiaoning Ding, Deepak Vij, Ying Xiong
2021 J jnl
Towards website domain name classification using graph based semi-supervised learning.
Comput. Networks
Azadeh Faroughi, Andrea Morichetta, Luca Vassio, Flavio Figueiredo, Marco Mellia, Reza Javidan
2021 J jnl
Understanding web pornography usage from traffic analysis.
Comput. Networks
Andrea Morichetta, Martino Trevisan, Luca Vassio, Julia Krickl
2020 J jnl
A Survey on Big Data for Network Traffic Monitoring and Analysis.
CoRR
Alessandro D'Alconzo, Idilio Drago, Andrea Morichetta, Marco Mellia, Pedro Casas
2020 J jnl
EXPLAIN-IT: Towards Explainable AI for Unsupervised Network Traffic Analysis.
CoRR
Andrea Morichetta, Pedro Casas, Marco Mellia
2020 J jnl
SLOC: Service Level Objectives for Next Generation Cloud Computing.
IEEE Internet Comput.
Stefan Nastic, Andrea Morichetta, Thomas W. Pusztai, Schahram Dustdar, Xiaoning Ding, Deepak Vij, Ying Xiong
2019 J jnl
A Survey on Big Data for Network Traffic Monitoring and Analysis.
IEEE Trans. Netw. Serv. Manag.
Alessandro D'Alconzo, Idilio Drago, Andrea Morichetta, Marco Mellia, Pedro Casas
2019 B conf
Characterizing Web Pornography Consumption from Passive Measurements.
PAM
Andrea Morichetta, Martino Trevisan, Luca Vassio
2019 J jnl
Characterizing web pornography consumption from passive measurements.
CoRR
Andrea Morichetta, Martino Trevisan, Luca Vassio
2019 J jnl
Clustering and evolutionary approach for longitudinal web traffic analysis.
Perform. Evaluation
Andrea Morichetta, Marco Mellia
2019 — conf
EXPLAIN-IT: Towards Explainable AI for Unsupervised Network Traffic Analysis.
Big-DAMA@CoNEXT
Andrea Morichetta, Pedro Casas, Marco Mellia
2019 J jnl
LENTA: Longitudinal Exploration for Network Traffic Analysis From Passive Data.
IEEE Trans. Netw. Serv. Manag.
Andrea Morichetta, Marco Mellia
2018 — conf
Achieving Horizontal Scalability in Density-based Clustering for URLs.
IEEE BigData
Azadeh Faroughi, Reza Javidan, Marco Mellia, Andrea Morichetta, Francesca Soro, Martino Trevisan
2018 — conf
LENTA: Longitudinal Exploration for Network Traffic Analysis.
ITC (1)
Andrea Morichetta, Marco Mellia
2017 — conf
UMAP: Urban mobility analysis platform to harvest car sharing data.
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Alessandro Ciociola, Michele Cocca, Danilo Giordano, Marco Mellia, Andrea Morichetta, Andrian Putina, Flavia Salutari
2016 A conf
CLUE: Clustering for Mining Web URLs.
ITC
Andrea Morichetta, Enrico Bocchi, Hassan Metwalley, Marco Mellia