Andrea Morichetta

According to our database, Andrea Morichetta authored at least 34 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Distributed AI in Zero-Touch Provisioning for Edge Networks: Challenges and Research Directions.

Abhishek Hazra, Andrea Morichetta, Ilir Murturi, Lauri Lovén, Chinmaya Kumar Dehury, Victor Casamayor-Pujol, Praveen Kumar Donta, Schahram Dustdar

Computer, March, 2024

Distributed Model Serving for Real-time Opinion Detection.

Paul Pinter, Andrea Morichetta, Schahram Dustdar

Proceedings of the IEEE International Conference on Service-Oriented System Engineering, 2024

Time Series Predictions for Cloud Workloads: A Comprehensive Evaluation.

Anna Lackinger, Andrea Morichetta, Schahram Dustdar

Proceedings of the IEEE International Conference on Service-Oriented System Engineering, 2024

Cohabitation of Intelligence and Systems: Towards Self-reference in Digital Anatomies.

Andrea Morichetta, Anna Lackinger, Schahram Dustdar

Proceedings of the IEEE International Conference on Service-Oriented System Engineering, 2024

INTEND: Human-Like Intelligence for Intent-Based Data Operations in the Cognitive Computing Continuum.

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

Proceedings of the Companion Proceedings of the 8th International Joint Conference on Rules and Reasoning co-located with 20th Reasoning Web Summer School (RW 2024) and 16th DecisionCAMP 2024 as part of Declarative AI 2024, 2024

INTEND: Intent-Based Data Operation in the Computing Continuum.

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

Proceedings of the Research Projects Exhibition Papers Presented at the 36th International Conference on Advanced Information Systems Engineering(CAiSE 2024), 2024

2023

Edge Intelligence - Research Opportunities for Distributed Computing Continuum Systems.

Victor Casamayor-Pujol, Praveen Kumar Donta, Andrea Morichetta, Ilir Murturi, Schahram Dustdar

IEEE Internet Comput., 2023

Fundamental Research Challenges for Distributed Computing Continuum Systems.

Victor Casamayor-Pujol, Andrea Morichetta, Ilir Murturi, Praveen Kumar Donta, Schahram Dustdar

Inf., 2023

Intent-based Management for the Distributed Computing Continuum.

Andrea Morichetta, Nikolaus Spring, Philipp Raith, Schahram Dustdar

Proceedings of the IEEE International Conference on Service-Oriented System Engineering, 2023

PolarisProfiler: A Novel Metadata-Based Profiling Approach for Optimizing Resource Management in the Edge-Cloud Continnum.

Andrea Morichetta, Victor Casamayor-Pujol, Stefan Nastic, Schahram Dustdar, Deepak Vij, Ying Xiong, Zhaobo Zhang

Proceedings of the IEEE International Conference on Service-Oriented System Engineering, 2023

Intelligent Sampling: A Novel Approach to Optimize Workload Scheduling in Large-Scale Heterogeneous Computing Continuum.

Victor Casamayor-Pujol, Andrea Morichetta, Stefan Nastic

Proceedings of the IEEE International Conference on Service-Oriented System Engineering, 2023

Learning-Driven Zero Trust in Distributed Computing Continuum Systems.

Ilir Murturi, Praveen Kumar Donta, Victor Casamayor-Pujol, Andrea Morichetta, Schahram Dustdar

Proceedings of the IEEE Intl Conf on Dependable, 2023

FL-SERENADE: Federated Learning for SEmi-supeRvisEd Network Anomaly DEtection. A Case Study.

Veronika Bekbulatova, Andrea Morichetta, Schahram Dustdar

Proceedings of the IEEE Intl Conf on Dependable, 2023

Demystifying deep learning in predictive monitoring for cloud-native SLOs.

Andrea Morichetta, Thomas W. Pusztai, Deepak Vij, Victor Casamayor-Pujol, Philipp Raith, Ying Xiong, Stefan Nastic, Schahram Dustdar, Zhaobo Zhang

Proceedings of the 16th IEEE International Conference on Cloud Computing, 2023

2022

Cooperative Multiagent Deep Reinforcement Learning for Computation Offloading: A Mobile Network Operator Perspective.

Kexin Li, Xingwei Wang, Qiang He, Bo Yi, Andrea Morichetta, Min Huang

IEEE Internet Things J., 2022

Polaris Scheduler: SLO- and Topology-aware Microservices Scheduling at the Edge.

Thomas W. Pusztai, Stefan Nastic, Andrea Morichetta, Victor Casamayor-Pujol, Philipp Raith, Schahram Dustdar, Deepak Vij, Ying Xiong, Zhaobo Zhang

Proceedings of the 15th IEEE/ACM International Conference on Utility and Cloud Computing, 2022

Distributed Computing Continuum Systems - Opportunities and Research Challenges.

Victor Casamayor-Pujol, Praveen Kumar Donta, Andrea Morichetta, Ilir Murturi, Schahram Dustdar

Proceedings of the Service-Oriented Computing - ICSOC 2022 Workshops - ASOCA, AI-PA, FMCIoT, WESOACS 2022, Sevilla, Spain, November 29, 2022

High-Level Metrics for Service Level Objective-aware Autoscaling in Polaris: a Performance Evaluation.

Nicolò Bartelucci, Paolo Bellavista, Thomas W. Pusztai, Andrea Morichetta, Schahram Dustdar

Proceedings of the 6th IEEE International Conference on Fog and Edge Computing, 2022

2021

Towards website domain name classification using graph based semi-supervised learning.

Azadeh Faroughi, Andrea Morichetta, Luca Vassio, Flavio V. D. de Figueiredo, Marco Mellia, Reza Javidan

Comput. Networks, 2021

Understanding web pornography usage from traffic analysis.

Andrea Morichetta, Martino Trevisan, Luca Vassio, Julia Krickl

Comput. Networks, 2021

SLO Script: A Novel Language for Implementing Complex Cloud-Native Elasticity-Driven SLOs.

Thomas W. Pusztai, Andrea Morichetta, Victor Casamayor-Pujol, Schahram Dustdar, Stefan Nastic, Xiaoning Ding, Deepak Vij, Ying Xiong

Proceedings of the 2021 IEEE International Conference on Web Services, 2021

A roadmap on learning and reasoning for distributed computing continuum ecosystems.

Andrea Morichetta, Victor Casamayor-Pujol, Schahram Dustdar

Proceedings of the IEEE International Conference on Edge Computing, 2021

A Novel Middleware for Efficiently Implementing Complex Cloud-Native SLOs.

Thomas W. Pusztai, Andrea Morichetta, Victor Casamayor-Pujol, Schahram Dustdar, Stefan Nastic, Xiaoning Ding, Deepak Vij, Ying Xiong

Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021

Polaris Scheduler: Edge Sensitive and SLO Aware Workload Scheduling in Cloud-Edge-IoT Clusters.

Stefan Nastic, Thomas W. Pusztai, Andrea Morichetta, Victor Casamayor-Pujol, Schahram Dustdar, Deepak Vij, Ying Xiong

Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021

2020

SLOC: Service Level Objectives for Next Generation Cloud Computing.

Stefan Nastic, Andrea Morichetta, Thomas W. Pusztai, Schahram Dustdar, Xiaoning Ding, Deepak Vij, Ying Xiong

IEEE Internet Comput., 2020

2019

LENTA: Longitudinal Exploration for Network Traffic Analysis From Passive Data.

Andrea Morichetta, Marco Mellia

IEEE Trans. Netw. Serv. Manag., 2019

A Survey on Big Data for Network Traffic Monitoring and Analysis.

Alessandro D'Alconzo, Idilio Drago, Andrea Morichetta, Marco Mellia, Pedro Casas

IEEE Trans. Netw. Serv. Manag., 2019

Clustering and evolutionary approach for longitudinal web traffic analysis.

Andrea Morichetta, Marco Mellia

Perform. Evaluation, 2019

Characterizing Web Pornography Consumption from Passive Measurements.

Andrea Morichetta, Martino Trevisan, Luca Vassio

Proceedings of the Passive and Active Measurement - 20th International Conference, 2019

EXPLAIN-IT: Towards Explainable AI for Unsupervised Network Traffic Analysis.

Andrea Morichetta, Pedro Casas, Marco Mellia

Proceedings of the 3rd ACM CoNEXT Workshop on Big DAta, 2019

2018

LENTA: Longitudinal Exploration for Network Traffic Analysis.

Andrea Morichetta, Marco Mellia

Proceedings of the 30th International Teletraffic Congress, 2018

Achieving Horizontal Scalability in Density-based Clustering for URLs.

Azadeh Faroughi, Reza Javidan, Marco Mellia, Andrea Morichetta, Francesca Soro, Martino Trevisan

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

UMAP: Urban mobility analysis platform to harvest car sharing data.

Alessandro Ciociola, Michele Cocca, Danilo Giordano, Marco Mellia, Andrea Morichetta, Andrian Putina, Flavia Salutari

Proceedings of the 2017 IEEE SmartWorld, 2017

2016

CLUE: Clustering for Mining Web URLs.

Andrea Morichetta, Enrico Bocchi, Hassan Metwalley, Marco Mellia

Proceedings of the 28th International Teletraffic Congress, 2016