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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
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
Fundamental Research Challenges for Distributed Computing Continuum Systems. Inf. 14(3): 198 (2023) - [j8]Victor Casamayor-Pujol
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
Demystifying deep learning in predictive monitoring for cloud-native SLOs. CLOUD 2023: 1-11 - [c18]Ilir Murturi, Praveen Kumar Donta
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
PolarisProfiler: A Novel Metadata-Based Profiling Approach for Optimizing Resource Management in the Edge-Cloud Continnum. SOSE 2023: 27-36 - [c15]Victor Casamayor-Pujol
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
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
High-Level Metrics for Service Level Objective-aware Autoscaling in Polaris: a Performance Evaluation. ICFEC 2022: 73-77 - [c12]Victor Casamayor-Pujol
Distributed Computing Continuum Systems - Opportunities and Research Challenges. ICSOC Workshops 2022: 405-407 - [c11]Thomas W. Pusztai, Stefan Nastic
Polaris Scheduler: SLO- and Topology-aware Microservices Scheduling at the Edge. UCC 2022: 61-70 - 2021
- [j6]Azadeh Faroughi, Andrea Morichetta
Towards website domain name classification using graph based semi-supervised learning. Comput. Networks 188: 107865 (2021) - [j5]Andrea Morichetta
Understanding web pornography usage from traffic analysis. Comput. Networks 189: 107909 (2021) - [c10]Stefan Nastic
Polaris Scheduler: Edge Sensitive and SLO Aware Workload Scheduling in Cloud-Edge-IoT Clusters. CLOUD 2021: 206-216 - [c9]Thomas W. Pusztai, Andrea Morichetta
A Novel Middleware for Efficiently Implementing Complex Cloud-Native SLOs. CLOUD 2021: 410-420 - [c8]Andrea Morichetta, Victor Casamayor-Pujol
A roadmap on learning and reasoning for distributed computing continuum ecosystems. EDGE 2021: 25-31 - [c7]Thomas W. Pusztai, Andrea Morichetta
SLO Script: A Novel Language for Implementing Complex Cloud-Native Elasticity-Driven SLOs. ICWS 2021: 21-31 - 2020
- [j4]Stefan Nastic
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
Clustering and evolutionary approach for longitudinal web traffic analysis. Perform. Evaluation 135 (2019) - [j2]Alessandro D'Alconzo, Idilio Drago
A Survey on Big Data for Network Traffic Monitoring and Analysis. IEEE Trans. Netw. Serv. Manag. 16(3): 800-813 (2019) - [j1]Andrea Morichetta
LENTA: Longitudinal Exploration for Network Traffic Analysis From Passive Data. IEEE Trans. Netw. Serv. Manag. 16(3): 814-827 (2019) - [c6]Andrea Morichetta
EXPLAIN-IT: Towards Explainable AI for Unsupervised Network Traffic Analysis. Big-DAMA@CoNEXT 2019: 22-28 - [c5]Andrea Morichetta
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
Achieving Horizontal Scalability in Density-based Clustering for URLs. IEEE BigData 2018: 3841-3846 - [c3]Andrea Morichetta
LENTA: Longitudinal Exploration for Network Traffic Analysis. ITC (1) 2018: 176-184 - 2017
- [c2]Alessandro Ciociola, Michele Cocca, Danilo Giordano
UMAP: Urban mobility analysis platform to harvest car sharing data. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-8 - 2016
- [c1]Andrea Morichetta
CLUE: Clustering for Mining Web URLs. ITC 2016: 286-294
Coauthor Index
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last updated on 2024-11-11 21:30 CET by the dblp team
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