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Andrea Morichetta 0002

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affiliation: TU Wien, Vienna, Austria
affiliation (PhD 2020): Politecnico di Torino, Italy

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Journal Articles

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2024
[j10]
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Abhishek Hazra, Andrea Morichetta, Ilir Murturi, Lauri Lovén, Chinmaya Kumar Dehury, Victor Casamayor-Pujol, Praveen Kumar Donta, Schahram Dustdar:
Distributed AI in Zero-Touch Provisioning for Edge Networks: Challenges and Research Directions. Computer 57(3): 69-78 (2024)
2023
[j9]
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Victor Casamayor-Pujol, Andrea Morichetta, Ilir Murturi, Praveen Kumar Donta, Schahram Dustdar:
Fundamental Research Challenges for Distributed Computing Continuum Systems. Inf. 14(3): 198 (2023)
[j8]
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Victor Casamayor-Pujol, Praveen Kumar Donta, Andrea Morichetta, Ilir Murturi, Schahram Dustdar:
Edge Intelligence - Research Opportunities for Distributed Computing Continuum Systems. IEEE Internet Comput. 27(4): 53-74 (2023)
2022
[j7]
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Kexin Li, Xingwei Wang, Qiang He, Bo Yi, Andrea Morichetta, Min Huang:
Cooperative Multiagent Deep Reinforcement Learning for Computation Offloading: A Mobile Network Operator Perspective. IEEE Internet Things J. 9(23): 24161-24173 (2022)
2021
[j6]
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Azadeh Faroughi, Andrea Morichetta, Luca Vassio, Flavio V. D. de Figueiredo, Marco Mellia, Reza Javidan:
Towards website domain name classification using graph based semi-supervised learning. Comput. Networks 188: 107865 (2021)
[j5]
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Andrea Morichetta, Martino Trevisan, Luca Vassio, Julia Krickl:
Understanding web pornography usage from traffic analysis. Comput. Networks 189: 107909 (2021)
2020
[j4]
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Stefan Nastic, Andrea Morichetta, Thomas W. Pusztai, Schahram Dustdar, Xiaoning Ding, Deepak Vij, Ying Xiong:
SLOC: Service Level Objectives for Next Generation Cloud Computing. IEEE Internet Comput. 24(3): 39-50 (2020)
2019
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Andrea Morichetta, Marco Mellia:
Clustering and evolutionary approach for longitudinal web traffic analysis. Perform. Evaluation 135 (2019)
[j2]
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Alessandro D'Alconzo, Idilio Drago, Andrea Morichetta, Marco Mellia, Pedro Casas:
A Survey on Big Data for Network Traffic Monitoring and Analysis. IEEE Trans. Netw. Serv. Manag. 16(3): 800-813 (2019)
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Andrea Morichetta, Marco Mellia:
LENTA: Longitudinal Exploration for Network Traffic Analysis From Passive Data. IEEE Trans. Netw. Serv. Manag. 16(3): 814-827 (2019)

Conference and Workshop Papers

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2024
[c20]
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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:
INTEND: Intent-Based Data Operation in the Computing Continuum. CAiSE Research Projects Exhibition 2024: 43-50
2023
[c19]
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Andrea Morichetta, Thomas W. Pusztai, Deepak Vij, Victor Casamayor-Pujol, Philipp Raith, Ying Xiong, Stefan Nastic, Schahram Dustdar, Zhaobo Zhang:
Demystifying deep learning in predictive monitoring for cloud-native SLOs. CLOUD 2023: 1-11
[c18]
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Ilir Murturi, Praveen Kumar Donta, Victor Casamayor-Pujol, Andrea Morichetta, Schahram Dustdar:
Learning-Driven Zero Trust in Distributed Computing Continuum Systems. DASC/PiCom/CBDCom/CyberSciTech 2023: 44-49
[c17]
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Veronika Bekbulatova, Andrea Morichetta, Schahram Dustdar:
FL-SERENADE: Federated Learning for SEmi-supeRvisEd Network Anomaly DEtection. A Case Study. DASC/PiCom/CBDCom/CyberSciTech 2023: 1072-1079
[c16]
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Andrea Morichetta, Victor Casamayor-Pujol, Stefan Nastic, Schahram Dustdar, Deepak Vij, Ying Xiong, Zhaobo Zhang:
PolarisProfiler: A Novel Metadata-Based Profiling Approach for Optimizing Resource Management in the Edge-Cloud Continnum. SOSE 2023: 27-36
[c15]
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Victor Casamayor-Pujol, Andrea Morichetta, Stefan Nastic:
Intelligent Sampling: A Novel Approach to Optimize Workload Scheduling in Large-Scale Heterogeneous Computing Continuum. SOSE 2023: 140-149
[c14]
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Andrea Morichetta, Nikolaus Spring, Philipp Raith, Schahram Dustdar:
Intent-based Management for the Distributed Computing Continuum. SOSE 2023: 239-249
2022
[c13]
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Nicolò Bartelucci, Paolo Bellavista, Thomas W. Pusztai, Andrea Morichetta, Schahram Dustdar:
High-Level Metrics for Service Level Objective-aware Autoscaling in Polaris: a Performance Evaluation. ICFEC 2022: 73-77
[c12]
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Victor Casamayor-Pujol, Praveen Kumar Donta, Andrea Morichetta, Ilir Murturi, Schahram Dustdar:
Distributed Computing Continuum Systems - Opportunities and Research Challenges. ICSOC Workshops 2022: 405-407
[c11]
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Thomas W. Pusztai, Stefan Nastic, Andrea Morichetta, Victor Casamayor-Pujol, Philipp Raith, Schahram Dustdar, Deepak Vij, Ying Xiong, Zhaobo Zhang:
Polaris Scheduler: SLO- and Topology-aware Microservices Scheduling at the Edge. UCC 2022: 61-70
2021
[c10]
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Stefan Nastic, Thomas W. Pusztai, Andrea Morichetta, Victor Casamayor-Pujol, Schahram Dustdar, Deepak Vij, Ying Xiong:
Polaris Scheduler: Edge Sensitive and SLO Aware Workload Scheduling in Cloud-Edge-IoT Clusters. CLOUD 2021: 206-216
[c9]
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Thomas W. Pusztai, Andrea Morichetta, Victor Casamayor-Pujol, Schahram Dustdar, Stefan Nastic, Xiaoning Ding, Deepak Vij, Ying Xiong:
A Novel Middleware for Efficiently Implementing Complex Cloud-Native SLOs. CLOUD 2021: 410-420
[c8]
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Andrea Morichetta, Victor Casamayor-Pujol, Schahram Dustdar:
A roadmap on learning and reasoning for distributed computing continuum ecosystems. EDGE 2021: 25-31
[c7]
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Thomas W. Pusztai, Andrea Morichetta, Victor Casamayor-Pujol, Schahram Dustdar, Stefan Nastic, Xiaoning Ding, Deepak Vij, Ying Xiong:
SLO Script: A Novel Language for Implementing Complex Cloud-Native Elasticity-Driven SLOs. ICWS 2021: 21-31
2019
[c6]
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Andrea Morichetta, Pedro Casas, Marco Mellia:
EXPLAIN-IT: Towards Explainable AI for Unsupervised Network Traffic Analysis. Big-DAMA@CoNEXT 2019: 22-28
[c5]
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Andrea Morichetta, Martino Trevisan, Luca Vassio:
Characterizing Web Pornography Consumption from Passive Measurements. PAM 2019: 304-316
2018
[c4]
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Azadeh Faroughi, Reza Javidan, Marco Mellia, Andrea Morichetta, Francesca Soro, Martino Trevisan:
Achieving Horizontal Scalability in Density-based Clustering for URLs. IEEE BigData 2018: 3841-3846
[c3]
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Andrea Morichetta, Marco Mellia:
LENTA: Longitudinal Exploration for Network Traffic Analysis. ITC (1) 2018: 176-184
2017
[c2]
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Alessandro Ciociola, Michele Cocca, Danilo Giordano, Marco Mellia, Andrea Morichetta, Andrian Putina, Flavia Salutari:
UMAP: Urban mobility analysis platform to harvest car sharing data. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-8
2016
[c1]
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Andrea Morichetta, Enrico Bocchi, Hassan Metwalley, Marco Mellia:
CLUE: Clustering for Mining Web URLs. ITC 2016: 286-294

Informal and Other Publications

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2023
[i5]
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Ilir Murturi, Praveen Kumar Donta, Victor Casamayor-Pujol, Andrea Morichetta, Schahram Dustdar:
Learning-driven Zero Trust in Distributed Computing Continuum Systems. CoRR abs/2311.17447 (2023)
[i4]
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Abhishek Hazra, Andrea Morichetta, Ilir Murturi, Lauri Lovén, Chinmaya Kumar Dehury, Victor Casamayor-Pujol, Praveen Kumar Donta, Schahram Dustdar:
Distributed AI in Zero-touch Provisioning for Edge Networks: Challenges and Research Directions. CoRR abs/2311.17471 (2023)
2020
[i3]
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Alessandro D'Alconzo, Idilio Drago, Andrea Morichetta, Marco Mellia, Pedro Casas:
A Survey on Big Data for Network Traffic Monitoring and Analysis. CoRR abs/2003.01648 (2020)
[i2]
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  - journals/corr/abs-2003-01670
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Andrea Morichetta, Pedro Casas, Marco Mellia:
EXPLAIN-IT: Towards Explainable AI for Unsupervised Network Traffic Analysis. CoRR abs/2003.01670 (2020)
2019
[i1]
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  - journals/corr/abs-1904-11723
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Andrea Morichetta, Martino Trevisan, Luca Vassio:
Characterizing web pornography consumption from passive measurements. CoRR abs/1904.11723 (2019)

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