activity
20182022
most citedParsimonious Edge Computing to Reduce Microservice Resource Usage

1 citations · 4 across the 4 of their papers we have counts for

collaborators

8 papers

cs.GT20221 cited

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…

cs.NI20221 cited

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…

cs.DC20221 cited

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…

cs.NI20211 cited

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…

cs.DC2020

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…

cs.DC2019

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…