246 citations · 1.1k across the 18 of their papers we have counts for
18 papers
Hybrid multi-objective evolutionary algorithms for service placement in the computing continuum: a comparative study with genetic traceability
Sergi Vivo, Carlos Guerrero, Isaac Lera
This paper addresses multi-objective service placement in computing continuum environments through a collaborative hybrid island-model MOEA. The key innovation is not the design of…
Multi-objective application placement in fog computing using graph neural network-based reinforcement learning
Isaac Lera, Carlos Guerrero
We propose a framework designed to tackle a multi-objective optimization challenge related to the placement of applications in fog computing, employing a deep reinforcement learnin…
Analysis of wireless network access logs for a hierarchical characterization of user mobility
Francisco Talavera, Isaac Lera, Carlos Guerrero
This paper presents a method that generates a hierarchical user mobility model from the analysis of the data available from Wi-Fi connections. The data obtained from the Wi-Fi infr…
YAIFS: Yet (not) Another Intelligent Fog Simulator: A Framework for Agent-Driven Computing Continuum Modeling & Simulation
Isaac Lera, Carlos Guerrero
Simulation plays a key role in the design and evaluation of distributed systems, yet it is often treated as a static tool with limited interaction capabilities. In this work, we pr…
Declarative Application Management in the Fog. A bacteria-inspired decentralised approach
Antonio Brogi, Stefano Forti, Carlos Guerrero +1
Orchestrating next gen applications over hterogeneous resources along the Cloud-IoT continuum calls for new strategies and tools to enable scalable and application-specific managem…
Evaluation and Efficiency Comparison of Evolutionary Algorithms for Service Placement Optimization in Fog Architectures
Carlos Guerrero, Isaac Lera, Carlos Juiz
This study compares three evolutionary algorithms for the problem of fog service placement: weighted sum genetic algorithm (WSGA), non-dominated sorting genetic algorithm II (NSGA-…
Use of Mobile Devices in the Classroom to Increase Motivation and Participation of Engineering University Students
Carlos Guerrero, Antoni Jaume-i-Capó, Carlos Juiz +1
The aim of this study was to see whether student participation increased when mobile devices were used in the classroom. We measured the amount of student participative actions whe…
A platform for lightweight deployment of IoT applications based on a Function-as-a-Service model
Sebastià Sansó, Carlos Guerrero, Isaac Lera +1
This paper presents a platform to facilitate the deployment of applications in Internet of Things (IoT) devices. The platform allows to the programmers to use a Function-as-a-Servi…
Optimization policy for file replica placement in fog domains
Carlos Guerrero, Isaac Lera, Carlos Juiz
Fog computing architectures distribute computational and storage resources along the continuum from the cloud to things. Therefore, the execution of services or the storage of file…
Distributed genetic algorithm for application placement in the compute continuum leveraging infrastructure nodes for optimization
Carlos Guerrero, Isaac Lera, Carlos Juiz
The increasing complexity of fog computing environments calls for efficient resource optimization techniques. In this paper, we propose and evaluate three distributed designs of a…
A lightweight decentralized service placement policy for performance optimization in fog computing
Carlos Guerrero, Isaac Lera, Carlos Juiz
A decentralized optimization policy for service placement in fog computing is presented. The optimization is addressed to place most popular services as closer to the users as poss…
Genetic Algorithm for Multi-Objective Optimization of Container Allocation in Cloud Architecture
Carlos Guerrero, Isaac Lera, Carlos Juiz
The use of containers in cloud architectures has become widespread because of advantages such as limited overhead, easier and faster deployment and higher portability. Moreover, th…
Availability-aware Service Placement Policy in Fog Computing Based on Graph Partitions
Isaac Lera, Carlos Guerrero, Carlos Juiz
This paper presents a policy for service placement of fog applications inspired on complex networks and graph theory. We propose a twofold partition process based on communities fo…
Genetic-based fog colony optimization hybridized with hierarchical clustering and its influence in the placement of fog services
Francisco Talavera, Isaac Lera, Carlos Juiz +1
The organization of fog devices into fog colonies has reduced the complexity management of fog domains. One of the main influencing factors on this complexity is the large number o…
Genetic-based optimization in Fog Computing: current trends and research opportunities
Carlos Guerrero, Isaac Lera, Carlos Juiz
Fog computing is a new computational paradigm that emerged from the need to reduce network usage and latency in the Internet of Things (IoT). Fog can be considered as a continuum b…
YAFS: A simulator for IoT scenarios in fog computing
Isaac Lera, Carlos Guerrero, Carlos Juiz
We propose a fog computing simulator for analysing the design and deployment of applications through customized and dynamical strategies. We model the relationships among deployed…
How to Place Your Apps in the Fog -- State of the Art and Open Challenges
Antonio Brogi, Stefano Forti, Carlos Guerrero +1
Fog computing aims at extending the Cloud towards the IoT so to achieve improved QoS and to empower latency-sensitive and bandwidth-hungry applications. The Fog calls for novel mod…
Analysing Human Mobility Patterns of Hiking Activities through Complex Network Theory
Isaac Lera, Toni Pérez, Carlos Guerrero +2
The exploitation of high volume of geolocalized data from social sport tracking applications of outdoor activities can be useful for natural resource planning and to understand the…