activity
20222024
most citedDEVS/SOA: A Cross-Platform Framework for Net-centric Modeling and Simulation in DEVS Unified Process

84 citations · 430 across the 19 of their papers we have counts for

collaborators
Showing 2023Show all

9 papers · 1 filter

cs.DC2023★ 18 cited

Heuristics and Metaheuristics for Dynamic Management of Computing and Cooling Energy in Cloud Data Centers

Patricia Arroba, José L. Risco-Martín, José M. Moya +1

Data centers handle impressive high figures in terms of energy consumption, and the growing popularity of Cloud applications is intensifying their computational demand. Moreover, t…

cs.DC2023★ 19 cited

Mercury: A modeling, simulation, and optimization framework for data stream-oriented IoT applications

Román Cárdenas, Patricia Arroba, Roberto Blanco +3

The Internet of Things is transforming our society by monitoring users and infrastructures' behavior to enable new services that will improve life quality and resource management.…

cs.NI2023★ 51 cited

Toward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition

J. Pagan, R. Fallahzadeh, M. Pedram +4

Activity recognition, as an important component of behavioral monitoring and intervention, has attracted enormous attention, especially in Mobile Cloud Computing (MCC) and Remote H…

cs.SE2023

The DEVStone Metric: Performance Analysis of DEVS Simulation Engines

Román Cárdenas, Kevin Henares, Patricia Arroba +2

The DEVStone benchmark allows us to evaluate the performance of discrete-event simulators based on the DEVS formalism. It provides model sets with different characteristics, enabli…

eess.SY2023★ 18 cited

Simulation-driven engineering for the management of harmful algal and cyanobacterial blooms

José L. Risco-Martín, Segundo Esteban, Jesús Chacón +3

Harmful Algal and Cyanobacterial Blooms (HABs), occurring in inland and maritime waters, pose threats to natural environments by producing toxins that affect human and animal healt…

eess.SP2023★ 5 cited

Predictive and diagnosis models of stroke from hemodynamic signal monitoring

Luis García-Terriza, José L. Risco-Martín, Gemma Reig Roselló +1

This work presents a novel and promising approach to the clinical management of acute stroke. Using machine learning techniques, our research has succeeded in developing accurate d…

cs.AR2023★ 4 cited

Boosting the 3D thermal-aware floorplanning problem through a master-worker parallel MOEA

Ignacio Arnaldo, Alfredo Cuesta-Infante, J. Manuel Colmenar +2

The increasing transistor scale integration poses, among others, the thermal-aware floorplanning problem; consisting of how to place the hardware components in order to reduce over…

cs.DC2023★ 10 cited

A Unified Cloud-Enabled Discrete Event Parallel and Distributed Simulation Architecture

José L. Risco-Martín, Kevin Henares, Saurabh Mittal +2

Cloud simulation environments today are largely employed to model and simulate complex systems for remote accessibility and variable capacity requirements. In this regard, scalabil…

cs.AI2023★ 4 cited

Efficient micro data centres deployment for mobile healthcare monitoring systems in IoT urban scenarios

Kevin Henares, José L. Risco-Martín, José L Ayala +1

In the last decade, the Internet of Things paradigm has caused an exponential increase in the number of connected devices. This trend brings the Internet closer to everyday activit…