Andrea Morichetta

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 35

Top Topics

Traffic Analysis

Network Anomaly Detection

Distributed Computing

Top Venues

IEEE Internet Comput.

Publications

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)
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) (2024)
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 (2023)
Ilir Murturi, Praveen Kumar Donta, Victor Casamayor-Pujol, Andrea Morichetta, Schahram Dustdar
Learning-driven Zero Trust in Distributed Computing Continuum Systems. CoRR (2023)
Veronika Bekbulatova, Andrea Morichetta, Schahram Dustdar
FL-SERENADE: Federated Learning for SEmi-supeRvisEd Network Anomaly DEtection. A Case Study. DASC/PiCom/CBDCom/CyberSciTech (2023)
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) (2023)
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)
Victor Casamayor-Pujol, Andrea Morichetta, Stefan Nastic
Intelligent Sampling: A Novel Approach to Optimize Workload Scheduling in Large-Scale Heterogeneous Computing Continuum. SOSE (2023)
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)
Victor Casamayor-Pujol, Andrea Morichetta, Ilir Murturi, Praveen Kumar Donta, Schahram Dustdar
Fundamental Research Challenges for Distributed Computing Continuum Systems. Inf. 14 (3) (2023)
Andrea Morichetta, Nikolaus Spring, Philipp Raith, Schahram Dustdar
Intent-based Management for the Distributed Computing Continuum. SOSE (2023)
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)
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)
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)
Victor Casamayor-Pujol, Praveen Kumar Donta, Andrea Morichetta, Ilir Murturi, Schahram Dustdar
Distributed Computing Continuum Systems - Opportunities and Research Challenges. ICSOC Workshops (2022)
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) (2022)
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 (2021)
Andrea Morichetta, Victor Casamayor-Pujol, Schahram Dustdar
A roadmap on learning and reasoning for distributed computing continuum ecosystems. EDGE (2021)
Andrea Morichetta, Martino Trevisan, Luca Vassio, Julia Krickl
Understanding web pornography usage from traffic analysis. Comput. Networks 189 (2021)
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)
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)
Stefan Nastic, Thomas W. Pusztai, Andrea Morichetta, Victor Casamayor-Pujol, Schahram Dustdar, Deepak Vii, Ying Xiong
Polaris Scheduler: Edge Sensitive and SLO Aware Workload Scheduling in Cloud-Edge-IoT Clusters. CLOUD (2021)
Andrea Morichetta, Pedro Casas, Marco Mellia
EXPLAIN-IT: Towards Explainable AI for Unsupervised Network Traffic Analysis. CoRR (2020)
Alessandro D'Alconzo, Idilio Drago, Andrea Morichetta, Marco Mellia, Pedro Casas
A Survey on Big Data for Network Traffic Monitoring and Analysis. CoRR (2020)
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) (2020)
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) (2019)
Andrea Morichetta, Pedro Casas, Marco Mellia
EXPLAIN-IT: Towards Explainable AI for Unsupervised Network Traffic Analysis. Big-DAMA@CoNEXT (2019)
Andrea Morichetta, Martino Trevisan, Luca Vassio
Characterizing Web Pornography Consumption from Passive Measurements. PAM (2019)
Andrea Morichetta, Marco Mellia
LENTA: Longitudinal Exploration for Network Traffic Analysis From Passive Data. IEEE Trans. Netw. Serv. Manag. 16 (3) (2019)
Andrea Morichetta, Martino Trevisan, Luca Vassio
Characterizing web pornography consumption from passive measurements. CoRR (2019)
Andrea Morichetta, Marco Mellia
Clustering and evolutionary approach for longitudinal web traffic analysis. Perform. Evaluation 135 (2019)
Azadeh Faroughi, Reza Javidan, Marco Mellia, Andrea Morichetta, Francesca Soro, Martino Trevisan
Achieving Horizontal Scalability in Density-based Clustering for URLs. IEEE BigData (2018)
Andrea Morichetta, Marco Mellia
LENTA: Longitudinal Exploration for Network Traffic Analysis. ITC (1) (2018)
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)
Andrea Morichetta, Enrico Bocchi, Hassan Metwalley, Marco Mellia
CLUE: Clustering for Mining Web URLs. ITC (2016)