84 citations · 430 across the 19 of their papers we have counts for
19 papers
eUDEVS: Executable UML with DEVS Theory of Modeling and Simulation
José L. Risco-Martín, J. M. Cruz, Saurabh Mittal +1
Modeling and Simulation (M&S) for system design and prototyping is practiced today both in the industry and academia. M&S are two different areas altogether and have specific objec…
DEVS/SOA: A Cross-Platform Framework for Net-centric Modeling and Simulation in DEVS Unified Process
Saurabh Mittal, José L. Risco-Martín, Bernard P. Zeigler
Discrete EVent Specification (DEVS) environments are known to be implemented over middleware systems such as HLA, RMI, CORBA and others. DEVS exhibits concepts of systems theory an…
Enhancing Regression Models for Complex Systems Using Evolutionary Techniques for Feature Engineering
Patricia Arroba, José L. Risco-Martín, Marina Zapater +2
This work proposes an automatic methodology for modeling complex systems. Our methodology is based on the combination of Grammatical Evolution and classical regression to obtain an…
A parallel evolutionary algorithm to optimize dynamic memory managers in embedded systems
José L. Risco-Martín, David Atienza, J. Manuel Colmenar +1
For the last thirty years, several Dynamic Memory Managers (DMMs) have been proposed. Such DMMs include first fit, best fit, segregated fit and buddy systems. Since the performance…
Simulation of high-performance memory allocators
José L. Risco-Martín, J. Manuel Colmenar, David Atienza +1
For the last thirty years, a large variety of memory allocators have been proposed. Since performance, memory usage and energy consumption of each memory allocator differs, softwar…
Thermal-Aware Floorplanner for 3D IC, including TSVs, Liquid Microchannels and Thermal Domains Optimization
David Cuesta, José L. Risco-Martín, José L. Ayala +1
3D stacked technology has emerged as an effective mechanism to overcome physical limits and communication delays found in 2D integration. However, 3D technology also presents sever…
Modeling methodology for the accurate and prompt prediction of symptomatic events in chronic diseases
Josué Pagán, José L. Risco-Martín, José M. Moya +1
Prediction of symptomatic crises in chronic diseases allows to take decisions before the symptoms occur, such as the intake of drugs to avoid the symptoms or the activation of medi…
Reconsidering the performance of DEVS modeling and simulation environments using the DEVStone benchmark
José L. Risco-Martín, Saurabh Mittal, Juan Carlos Fabero +2
The Discrete Event System Specification formalism (DEVS), which supports hierarchical and modular model composition, has been widely used to understand, analyze and develop a varie…
Green Adaptation of Real-Time Web Services for Industrial CPS within a Cloud Environment
Teresa Higuera, José L. Risco-Martín, Patricia Arroba +1
Managing energy efficiency under timing constraints is an interesting and big challenge. This work proposes an accurate power model in data centers for time-constrained servers in…
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…
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.…
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…
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…
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…
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…
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…
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…
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…
Runtime data center temperature prediction using Grammatical Evolution techniques
Marina Zapater, José L. Risco-Martín, Patricia Arroba +3
Data Centers are huge power consumers, both because of the energy required for computation and the cooling needed to keep servers below thermal redlining. The most common technique…