1 citations · 5 across the 12 of their papers we have counts for
16 papers
From Individual to Shared Ownership: A Coalitional Game Approach to Sustainable Co-investment
Yue Yu, Andrea Araldo, Tijani Chahed +1
This paper proposes a cooperative game-theoretic framework for sustainable co-investment in shared infrastructure under regulatory incentives. Multiple heterogeneous operators co-i…
Shared Infrastructure Investment and Pricing: Stackelberg Equilibria in Risk-Aware Take-or-Pay Contracts
Amal Sakr, Andrea Araldo, Tamer Başar +1
We study a shared infrastructure deployed by an Infrastructure Provider (InP) and used by multiple firms generating revenues through resource usage. We focus on a challenging setti…
Co-Investment in Mobile Edge Computing with Infrastructure Update and Dynamic Participation
Amal Sakr, Andrea Araldo, Tijani Chahed +1
Mobile Edge Computing (MEC) requires Network Operators (NOs) to undertake substantial infrastructure investments, while most revenues are captured by Service Providers (SPs) offeri…
Co-Investment under Revenue Uncertainty Based on Stochastic Coalitional Game Theory
Amal Sakr, Andrea Araldo, Tijani Chahed +1
The introduction of new services, such as Mobile Edge Computing (MEC), requires a massive investment that cannot be assumed by a single stakeholder, for instance the Infrastructure…
Can vehicular cloud replace edge computing?
Rosario Patanè, Nadjib Achir, Andrea Araldo +1
Edge computing (EC) consists of deploying computation resources close to the users, thus enabling low-latency applications, such as augmented reality and online gaming. However, la…
Online Learning for Function Placement in Serverless Computing
Wei Huang, Richard Combes, Andrea Araldo +2
We study the placement of virtual functions aimed at minimizing the cost. We propose a novel algorithm, using ideas based on multi-armed bandits. We prove that these algorithms lea…
Can Edge Computing fulfill the requirements of automated vehicular services using 5G network ?
Wendlasida Ouedraogo, Andrea Araldo, Badii Jouaber +2
Communication and computation services supporting Connected and Automated Vehicles (CAVs) are characterized by stringent requirements, in terms of response time and reliability. Fu…
Multiple Resource Allocation in Multi-Tenant Edge Computing via Sub-modular Optimization
Ayoub Ben-Ameur, Andrea Araldo, Tijani Chahed
Edge Computing (EC) allows users to access computing resources at the network frontier, which paves the way for deploying delay-sensitive applications such as Mobile Augmented Real…
Coalitional Game-Theoretical Approach to Coinvestment with Application to Edge Computing
Rosario Patanè, Andrea Araldo, Tijani Chahed +2
We propose in this paper a coinvestment plan between several stakeholders of different types, namely a physical network owner, operating network nodes, e.g. a network operator or a…
Monkey Business: Reinforcement learning meets neighborhood search for Virtual Network Embedding
Maxime Elkael, Massinissa Ait Aba, Andrea Araldo +2
In this article, we consider the Virtual Network Embedding (VNE) problem for 5G networks slicing. This problem requires to allocate multiple Virtual Networks (VN) on a substrate vi…
Cache Allocation in Multi-Tenant Edge Computing via online Reinforcement Learning
Ayoub Ben-Ameur, Andrea Araldo, Tijani Chahed
We consider in this work Edge Computing (EC) in a multi-tenant environment: the resource owner, i.e., the Network Operator (NO), virtualizes the resources and lets third party Serv…
Parsimonious Edge Computing to Reduce Microservice Resource Usage
Mathieu Simon, Alessandro Spallina, Loic Dubocquet +1
Cloud Computing (CC) is the most prevalent paradigm under which services are provided over the Internet. The most relevant feature for its success is its capability to promptly sca…
On the Deployability of Augmented Reality Using Embedded Edge Devices
Ayoub Ben-Ameur, Andrea Araldo, Francesco Bronzino
Edge Computing exploits computational capabilities deployed at the very edge of the network to support applications with low latency requirements. Such capabilities can reside in s…
EdgeMORE: Improving Resource Allocation with Multiple Options from Tenants
Andrea Araldo, Alessandro Di Stefano, Antonella Di Stefano
Under the paradigm of Edge Computing (EC), a Network Operator (NO) deploys computational resources at the network edge and let third-party Service Providers (SPs) run on top of the…
On the Importance of demand Consolidation in Mobility on Demand
Andrea Araldo, Andrea Di Maria, Antonella Di Stefano +1
Mobility on Demand (MoD) services, like Uber and Lyft, are revolutionizing the way people move in cities around the world and are often considered a convenient alternative to publi…
AMoDSim: An Efficient and Modular Simulation Framework for Autonomous Mobility on Demand
Andrea Di Maria, Andrea Araldo, Giovanni Morana +1
Urban transportation of next decade is expected to be disrupted by Autonomous Mobility on Demand (AMoD): AMoD providers will collect ride requests from users and will dispatch a fl…