9 citations · 26 across the 13 of their papers we have counts for
15 papers
Multi-FedLS: a Framework for Cross-Silo Federated Learning Applications on Multi-Cloud Environments
Rafaela C. Brum, Maria Clicia Stelling de Castro, Luciana Arantes +2
Federated Learning (FL) is a distributed Machine Learning (ML) technique that can benefit from cloud environments while preserving data privacy. We propose Multi-FedLS, a framework…
DRL-based Slice Placement under Realistic Network Load Conditions
José Jurandir Alves Esteves, Amina Boubendir, Fabrice Guillemin +1
We propose to demonstrate a network slice placement optimization solution based on Deep Reinforcement Learning (DRL), referred to as Heuristically-controlled DRL, which uses a heur…
On the Robustness of Controlled Deep Reinforcement Learning for Slice Placement
Jose Jurandir Alves Esteves, Amina Boubendir, Fabrice Guillemin +1
The evaluation of the impact of using Machine Learning in the management of softwarized networks is considered in multiple research works. Beyond that, we propose to evaluate the r…
DRL-based Slice Placement Under Non-Stationary Conditions
Jose Jurandir Alves Esteves, Amina Boubendir, Fabrice Guillemin +1
We consider online learning for optimal network slice placement under the assumption that slice requests arrive according to a non-stationary Poisson process. We propose a framewor…
Controlled Deep Reinforcement Learning for Optimized Slice Placement
Jose Jurandir Alves Esteves, Amina Boubendir, Fabrice Guillemin +1
We present a hybrid ML-heuristic approach that we name "Heuristically Assisted Deep Reinforcement Learning (HA-DRL)" to solve the problem of Network Slice Placement Optimization. T…
A Heuristically Assisted Deep Reinforcement Learning Approach for Network Slice Placement
Jose Jurandir Alves Esteves, Amina Boubendir, Fabrice Guillemin +1
Network Slice placement with the problem of allocation of resources from a virtualized substrate network is an optimization problem which can be formulated as a multiobjective Inte…
Scheduling Bag-of-Tasks in Clouds using Spot and Burstable Virtual Machines
Luan Teylo, Luciana Arantes, Pierre Sens +1
Leading Cloud providers offer several types of Virtual Machines (VMs) in diverse contract models, with different guarantees in terms of availability and reliability. Among them, th…
Edge-enabled Optimized Network Slicing in Large Scale Networks
Jose Jurandir Alves Esteves, Amina Boubendir, Fabice Guillemin +1
In this demo paper, we consider the network slice placement optimization problem and give some insights into a fast heuristic algorithm tailored to placement in large scale network…
Heuristic for Edge-enabled Network Slicing Optimization using the Power of Two Choices
Jose Jurandir Alves Esteves, Amina Boubendir, Fabrice Guillemin +1
We propose an online heuristic algorithm for the problem of network slice placement optimization. The solution is adapted to support placement on large scale networks and integrate…
A Bag-of-Tasks Scheduler Tolerant to Temporal Failures in Clouds
Luan Teylo, Lúcia Maria de A. Drummond, Luciana Arantes +1
Cloud platforms have emerged as a prominent environment to execute high performance computing (HPC) applications providing on-demand resources as well as scalability. They usually…
VCube-PS: A Causal Broadcast Topic-based Publish/Subscribe System
João Paulo de Araujo, Luciana Arantes, Elias P. Duarte +2
In this work we present VCube-PS, a topic-based Publish/Subscribe system built on the top of a virtual hypercube-like topology. Membership information and published messages are br…
Analysis of a Stochastic Model of Replication in Large Distributed Storage Systems: A Mean-Field Approach
Wen Sun, Véronique Simon, Sébastien Monnet +2
Distributed storage systems such as Hadoop File System or Google File System (GFS) ensure data availability and durability using replication. This paper is focused on the analysis…
The Weakest Failure Detector for Eventual Consistency
Swan Dubois, Rachid Guerraoui, Petr Kuznetsov +2
In its classical form, a consistent replicated service requires all replicas to witness the same evolution of the service state. Assuming a message-passing environment with a major…
The Impact Failure Detector
Anubis G. M. Rossetto, Cláudio F. R. Geyer, Luciana Arantes +1
This work proposes a new and flexible unreliable failure detector whose output is related to the trust level of a set of processes. By expressing the relevance of each process of t…
Asynchronous Implementation of Failure Detectors with partial connectivity and unknown participants
Pierre Sens, Luciana Arantes, Mathieu Bouillaguet +2
We consider the problem of failure detection in dynamic networks such as MANETs. Unreliable failure detectors are classical mechanisms which provide information about process failu…