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Coalitional Game-Theoretical Approach to Coinvestment with Application to Edge Computing,
Rosario Patane ■, Andrea Araldo ■, Tijani Chahed ■, Diego Kiedanski, Daniel Kofman ■,
CCNC 2023, Las Vegas, United States
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Integrated Deployment Prototype for Virtual Network Orchestration Solution,
Maya Kassis, Massinissa Ait Aba, Hind Castel Taleb, Maxime Elkael ■, Andrea Araldo ■, Badii Jouaber,
NOMS 2022, Budapest, Hungary
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PoolLines: modeling carpooling as ephemeral lines in GTFS for effective integration with public transit,
Youssef Chaabouni, Andrea Araldo ■, Andre De Palma, Souhila Arib,
IWCTS@SIGSPATIAL 2022, Seattle Washington, United States
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Large-Scale Allocation of Personalized Incentives,
Lucas Javaudin, Andrea Araldo ■, Andrù De Palma,
ITSC 2022, Macau, China
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Pooling for first and last mile: integrating carpooling and transit,
Andrea Araldo ■, André Depalma, Souhila Arib, Vincent Gauthier, Romain Sere, Youssef Chaabouni, Oussama Kharouaa, Ado Adamou Abba Ari,
hEART 2022: 10th symposium of the European Association for Research in Transportation 2022, Leuven, Belgium
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Dimensioning resources of Network Slices for energy-performance trade-off,
Wei Huang ■, Andrea Araldo ■, Hind Castel Taleb, Badii Jouaber,
ISCC 2022, Rhodes Island, Greece
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Cache Allocation in Multi-Tenant Edge Computing via online Reinforcement Learning,
Ayoub Ben Ameur ■, Andrea Araldo ■, Tijani Chahed ■,
ICC 2022, Seoul, Korea, Republic of
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Energy-efficient Resource Allocation in Multi-Tenant Edge Computing using Markov Decision Processes,
Alessandro Spallina ■, Andrea Araldo ■, Tijani Chahed ■, Hind Castel Taleb, Antonella Di Stefano, Tulin Atmaca,
NOMS 2022, Budapest, Hungary
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MORA on the Edge: a testbed of Multiple Option Resource Allocation,
Wendlasida Ouedraogo, Alessandro Di Stefano, Andrea Araldo ■, Antonella Di Stefano,
CloudNet 2022
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A graph-database approach to assess the impact of demand-responsive services on public transit accessibility,
Cathia Le Hasif, Andrea Araldo ■, Stefania Dumbrava, Dimitri Watel,
IWCTS@SIGSPATIAL 2022
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A two-stage algorithm for the Virtual Network Embedding problem,
Massinissa Ait Aba, Maxime Elkael, Badii Jouaber, Hind Castel Taleb, Andrea Araldo ■, David Olivier,
LCN 2021, Edmonton (online), Canada
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Improved Monte Carlo Tree Search for Virtual Network Embedding,
Maxime Elkael, Hind Castel Taleb, Badii Jouaber, Andrea Araldo ■, Massinissa Ait Aba,
LCN 2021, Edmonton (online), Canada
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Towards Inference Delivery Networks: Distributing Machine Learning with Optimality Guarantees,
Tareq Si Salem, Gabriele Castellano ■, Giovanni Neglia, Fabio Pianese ■, Andrea Araldo ■,
MedComNet 2021, Ibiza (virtual), Spain
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Parsimonious Edge Computing to Reduce Microservice Resource Usage,
Mathieu Simon, Alessandro Spallina ■, Loic Dubocquet, Andrea Araldo ■,
ITC 2021
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On the Deployability of Augmented Reality Using Embedded Edge Devices,
Ayoub Ben Ameur ■, Andrea Araldo ■, Francesco Bronzino,
CCNC 2021, Las Vegas (virtual), United States
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Integrating fixed and demand-responsive transportation for flexible transit network design,
Giovanni Calabrò, Andrea Araldo ■, Simon Oh, Ravi Seshadri, Giuseppe Inturri, Moshe Ben-Akiva,
TRB 2021: 100th Annual Meeting of the Transportation Research Board 2021, Washington (Virtual), United States
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The cost of learning fast with reinforcement learning for edge cache allocation,
Theo Bouganim, Andrea Araldo ■, Antoine Lavignotte, Nessim Oussedik, Gabriel Guez,
ITC 2020: 32nd International Teletraffic Congress, PhD Workshop 2020, Osaka, Japan
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EdgeMORE: improving resource allocation with multiple options from tenants,
Andrea Araldo ■, Alessandro Di Stefano, Antonella Di Stefano,
CCNC 2020, Las Vegas, United States
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Resource allocation for edge computing with multiple tenant configurations,
Andrea Araldo ■, Alessandro Di Stefano, Antonella Di Stefano,
SAC 2020, Brno, Czechia
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On the Importance of demand Consolidation in Mobility on Demand,
Andrea Araldo, Andrea Di Maria, Antonella Di Stefano, Giovanni Morana,
DS-RT 2019, Consenza, Italy
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AMoDSim: An Efficient and Modular Simulation Framework for Autonomous Mobility on Demand,
Andrea Di Maria, Andrea Araldo, Giovanni Morana, Antonella Di Stefano,
IOV 2018, Paris, France
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Integrated simulation of activity-based demand and multi-modal dynamic supply for energy assessment,
Nicholas Fournier, Siyu Chen, Isabel Hemerly Viegas De Lima, Zach Needell, Aikaterini Deliali, Andrea Araldo, Arun Prakash, Carlos Lima Azevedo, Eleni Christofa, Jessika E, Trancik, Moshe Ben Akiva,
ITSC 2018
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Stochastic Dynamic Cache Partitioning for Encrypted Content Delivery,
Andrea Araldo ■, Gyorgy Dan, Dario Rossi ■,
ITC 2016, Wuerzburg, Germany
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Representation selection problem: Optimizing video delivery through caching,
Andrea Araldo ■, Fabio Martignon, Dario Rossi ■,
Networking 2016, Wien, Austria
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Design and evaluation of cost-aware information centric routers,
Andrea Araldo ■, Dario Rossi ■, Fabio Martignon,
ICN 2014, Paris, France
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Cost-aware caching: Optimizing cache provisioning and object placement in ICN,
Andrea Araldo ■, Michele Mangili, Fabio Martignon, Dario Rossi ■,
GLOBECOM 2014, Austin, United States
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A per-application account of bufferbloat: Causes and impact on users,
Andrea Araldo ■, Dario Rossi ■,
IWCMC 2014, Nicosia, Cyprus
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Dissecting Bufferbloat: Measurement and Per-Application Breakdown of Queueing Delay,
Andrea Araldo ■, Dario Rossi ■,
ACM CoNEXT'13, Student Workshop 2013, Santa Barbara, United States
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Adaptive Transit Design: Optimizing Fixed and Demand Responsive Multi-Modal Transportation via Continuous Approximation,
Giovanni Calabro, Andrea Araldo ■, Simon Oh, Ravi Seshadri, Giuseppe Inturri, Moshe Ben-Akiva,
Transportation Research Part A: Policy and Practice 2023
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Market design for tradable mobility credits,
Siyu Chen, Ravi Seshadri, Carlos Lima Azevedo, Arun P. Akkinepally, Renming Liu, Andrea Araldo ■, Yu Jiang, Moshe E. Ben-Akiva,
Transportation research. Part C, Emerging technologies 2022
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Monkey business: reinforcement learning meets neighborhood search for virtual network embedding. Monkey Business : L'apprentissage par renforcement rencontre la recherche de quartier pour l'intégration de réseaux virtuels,
Maxime Elkael ■, Massinissa Ait Aba, Andrea Araldo ■, Hind Castel-Taleb, Badii Jouaber,
Computer Networks 2022
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Monkey Business: Reinforcement learning meets neighborhood search for Virtual Network Embedding,
Maxime Elkael ■, Massinissa Ait Aba, Andrea Araldo ■, Hind Castel Taleb, Badii Jouaber,
Comput. Networks 2022
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ACM SIGMETRICS International Workshop on Distributed Cloud Computing (DCC),
Andrea Araldo ■, Ivona Brandic, Stefan Schmid,
SIGMETRICS Perform. Evaluation Rev. 2020
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From traditional to automated mobility on demand: a comprehensive framework for modeling on-demand services in SimMobility,
Bat-Hen Nahmias-Biran, Jimi Oke, Nishant Kumar, Kakali Basak, Andrea Araldo, Ravi Seshadri, Arun Akkinepally, Carlos Lima Azevedo, Moshe Ben-Akiva,
Transportation Research Record 2019
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System-level optimization of multi-modal transportation networks for energy efficiency using personalized incentives: formulation, implementation, and performance,
Andrea Araldo, Song Gao, Ravi Seshadri, Carlos Lima Azevedo, Hossein Ghafourian, Yihang Sui, Sayeeda Ayaz, David Sukhin, Moshe Ben-Akiva,
Transportation Research Record 2019
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Caching Encrypted Content Via Stochastic Cache Partitioning,
Andrea Araldo, Gyorgy Dan, Dario Rossi ■,
IEEE/ACM Transactions on Networking 2018
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Cost-Aware Caching: Caching More (Costly Items) for Less (ISPs Operational Expenditures),
Andrea Araldo ■, Dario Rossi ■, Fabio Martignon,
IEEE Transactions on Parallel and Distributed Systems 2016
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Parameter Space Representation of Pareto Front to Explore Hardware-Software Dependencies,
Vincenzo Catania, Andrea Araldo ■, Davide Patti,
ACM Trans. Embed. Comput. Syst. 2015
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