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Andrea Morichetta 0002
Person information
- affiliation: TU Wien, Vienna, Austria
- affiliation (PhD 2020): Politecnico di Torino, Italy
Other persons with the same name
- Andrea Morichetta 0001 — University of Camerino, Italy
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2020 – today
- 2024
- [j10]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) - [c24]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 - [c23]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:
INTEND: Human-Like Intelligence for Intent-Based Data Operations in the Cognitive Computing Continuum. RuleML+RR (Companion) 2024 - [c22]Anna Lackinger, Andrea Morichetta, Schahram Dustdar:
Time Series Predictions for Cloud Workloads: A Comprehensive Evaluation. SoSE 2024: 36-45 - [c21]Paul Pinter, Andrea Morichetta, Schahram Dustdar:
Distributed Model Serving for Real-time Opinion Detection. SoSE 2024: 64-73 - [c20]Andrea Morichetta, Anna Lackinger, Schahram Dustdar:
Cohabitation of Intelligence and Systems: Towards Self-reference in Digital Anatomies. SoSE 2024: 102-110 - 2023
- [j9]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]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) - [c19]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]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]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]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]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]Andrea Morichetta, Nikolaus Spring, Philipp Raith, Schahram Dustdar:
Intent-based Management for the Distributed Computing Continuum. SOSE 2023: 239-249 - [i5]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]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) - 2022
- [j7]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) - [c13]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]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]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
- [j6]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]Andrea Morichetta, Martino Trevisan, Luca Vassio, Julia Krickl:
Understanding web pornography usage from traffic analysis. Comput. Networks 189: 107909 (2021) - [c10]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]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]Andrea Morichetta, Victor Casamayor-Pujol, Schahram Dustdar:
A roadmap on learning and reasoning for distributed computing continuum ecosystems. EDGE 2021: 25-31 - [c7]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 - 2020
- [j4]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) - [i3]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]Andrea Morichetta, Pedro Casas, Marco Mellia:
EXPLAIN-IT: Towards Explainable AI for Unsupervised Network Traffic Analysis. CoRR abs/2003.01670 (2020)
2010 – 2019
- 2019
- [j3]Andrea Morichetta, Marco Mellia:
Clustering and evolutionary approach for longitudinal web traffic analysis. Perform. Evaluation 135 (2019) - [j2]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) - [j1]Andrea Morichetta, Marco Mellia:
LENTA: Longitudinal Exploration for Network Traffic Analysis From Passive Data. IEEE Trans. Netw. Serv. Manag. 16(3): 814-827 (2019) - [c6]Andrea Morichetta, Pedro Casas, Marco Mellia:
EXPLAIN-IT: Towards Explainable AI for Unsupervised Network Traffic Analysis. Big-DAMA@CoNEXT 2019: 22-28 - [c5]Andrea Morichetta, Martino Trevisan, Luca Vassio:
Characterizing Web Pornography Consumption from Passive Measurements. PAM 2019: 304-316 - [i1]Andrea Morichetta, Martino Trevisan, Luca Vassio:
Characterizing web pornography consumption from passive measurements. CoRR abs/1904.11723 (2019) - 2018
- [c4]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]Andrea Morichetta, Marco Mellia:
LENTA: Longitudinal Exploration for Network Traffic Analysis. ITC (1) 2018: 176-184 - 2017
- [c2]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]Andrea Morichetta, Enrico Bocchi, Hassan Metwalley, Marco Mellia:
CLUE: Clustering for Mining Web URLs. ITC 2016: 286-294
Coauthor Index
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