Fernando Guirado

Orcid: 0000-0003-1352-9555

According to our database1, Fernando Guirado authored at least 41 papers between 2000 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Cloud computing virtual machine consolidation based on stock trading forecast techniques.
Future Gener. Comput. Syst., August, 2023

2021
High throughput BLAST algorithm using spark and cassandra.
J. Supercomput., 2021

Accurate consistency-based MSA reducing the memory footprint.
Comput. Methods Programs Biomed., 2021

2020
WPSP: A Multi-correlated Weighted Policy for VM Selection and Migration for Cloud Computing.
Proceedings of the Euro-Par 2020: Parallel Processing, 2020

Cloud Resources Reassignment Based on CPU and Bandwidth Correlation.
Proceedings of the Advanced Information Networking and Applications, 2020

2019
Energy-saving scheduling on IaaS HPC cloud environments based on a multi-objective genetic algorithm.
J. Supercomput., 2019

Optimization of consistency-based multiple sequence alignment using Big Data technologies.
J. Supercomput., 2019

2018
Scalable Consistency in T-Coffee Through Apache Spark and Cassandra Database.
J. Comput. Biol., 2018

2017
Blacklist muti-objective genetic algorithm for energy saving in heterogeneous environments.
J. Supercomput., 2017

PPCAS: Implementation of a Probabilistic Pairwise Model for Consistency-Based Multiple Alignment in Apache Spark.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2017

Energy efficient scheduling on heterogeneous federated clusters using a fuzzy multi-objective meta-heuristic.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016
Particle Swarm Optimization Scheduling for Energy Saving in Cluster Computing Heterogeneous Environments.
Proceedings of the 4th IEEE International Conference on Future Internet of Things and Cloud Workshops, 2016

2015
Recovering accuracy methods for scalable consistency library.
J. Supercomput., 2015

High Performance computing improvements on bioinformatics consistency-based multiple sequence alignment tools.
Parallel Comput., 2015

Multi-criteria genetic algorithm applied to scheduling in multi-cluster environments Open.
J. Simulation, 2015

2014
Slowdown-Guided Genetic Algorithm for Job Scheduling in Federated Environments.
Proceedings of the Nature of Computation and Communication - International Conference, 2014

2013
Improving multiple sequence alignment biological accuracy through genetic algorithms.
J. Supercomput., 2013

Fully distributed authentication with locality exploitation for the CoDiP2P peer-to-peer computing platform.
J. Supercomput., 2013

Performance analysis of computational approaches to solve Multiple Sequence Alignment.
J. Supercomput., 2013

Enhancing throughput for streaming applications running on cluster systems.
J. Parallel Distributed Comput., 2013

Scalability and accuracy improvements of consistency-based multiple sequence alignment tools.
Proceedings of the 20th European MPI Users's Group Meeting, 2013

2012
Enhancing the Scalability of Consistency-based Progressive Multiple Sequences Alignment Applications.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium, 2012

MIP Model Scheduling for Multi-Clusters.
Proceedings of the Euro-Par 2012: Parallel Processing Workshops, 2012

MIP Model Scheduling for BSP Parallel Applications on Multi-cluster Environments.
Proceedings of the 2012 Seventh International Conference on P2P, 2012

2011
Exploiting parallelism on progressive alignment methods.
J. Supercomput., 2011

Multiple job co-allocation strategy for heterogeneous multi-cluster systems based on linear programming.
J. Supercomput., 2011

2010
Cloud-Coffee: implementation of a parallel consistency-based multiple alignment algorithm in the T-Coffee package and its benchmarking on the Amazon Elastic-Cloud.
Bioinform., 2010

2008
CoDiP2P: A Peer-to-Peer Architecture for Sharing Computing Resources.
Proceedings of the International Symposium on Distributed Computing and Artificial Intelligence, 2008

2007
Modelización y Asignación de Tareas para Aplicaciones Paralelas con Flujo Continuo de Datos de Entrada.
PhD thesis, 2007

A New Task Graph Model for Mapping Message Passing Applications.
IEEE Trans. Parallel Distributed Syst., 2007

2006
Exploiting Throughput for Pipeline Execution in Streaming Image Processing Applications.
Proceedings of the Euro-Par 2006, Parallel Processing, 12th International Euro-Par Conference, Dresden, Germany, August 28, 2006

2005
Exploitation of Parallelism for Applications with an Input Data Stream: Optimal Resource-Throughput Tradeoffs.
Proceedings of the 13th Euromicro Workshop on Parallel, 2005

Optimizing Latency under Throughput Requirements for Streaming Applications on Cluster Execution.
Proceedings of the 2005 IEEE International Conference on Cluster Computing (CLUSTER 2005), September 26, 2005

2004
A Pipeline-Based Approach for Mapping Message-Passing Applications with an Input Data Stream.
Proceedings of the Recent Advances in Parallel Virtual Machine and Message Passing Interface, 2004

Performance Prediction Using an Application-Oriented Mapping Tool.
Proceedings of the 12th Euromicro Workshop on Parallel, 2004

2003
Predicting the Best Mapping for Efficient Exploitation of Task and Data Parallelism.
Proceedings of the Euro-Par 2003. Parallel Processing, 2003

2002
A New Model for Static Mapping of Parallel Applications with Task and Data Parallelism.
Proceedings of the 16th International Parallel and Distributed Processing Symposium (IPDPS 2002), 2002

AMEEDA: A General-Purpose Mapping Tool for Parallel Applications on Dedicated Clusters (Research Note).
Proceedings of the Euro-Par 2002, 2002

2001
Improving Static Scheduling Using Inter-task Concurrency Measures.
Proceedings of the 30th International Workshops on Parallel Processing (ICPP 2001 Workshops), 2001

2000
Modelling message-passing programs for static mapping.
Proceedings of the Eight Euromicro Workshop on Parallel and Distributed Processing, 2000

Exploiting Knowledge of Temporal Behaviour in Parallel Programs for Improving Distributed Mapping.
Proceedings of the Euro-Par 2000, Parallel Processing, 6th International Euro-Par Conference, Munich, Germany, August 29, 2000


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