246 citations · 931 across the 12 of their papers we have counts for
13 papers
Energy Variation in Training Modern Computer Vision Architectures
David Cortes, Carlos Juiz, Belen Bermejo
The rapid growth of deep learning has substantially increased the energy consumption associated with model training, making energy efficiency an increasingly relevant design criter…
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…
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…