World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
7893
World Ranking
12903
National Ranking
242

Overview

Rubén S. Montero is affiliated with the Complutense University of Madrid in Spain. Their primary research domain is computer science, with a strong focus on areas such as computer networks and communications, information systems, and artificial intelligence. Their work also intersects with electrical and electronic engineering as well as aspects of sociology and political science.

The scientist's research covers a variety of topics, with a notable emphasis on IoT and edge/fog computing. Additional key topics include cloud computing and resource management, blockchain technology applications and security, privacy-preserving technologies in data, cloud data security solutions, power line communications and noise, and digital marketing and social media.

Rubén S. Montero has published in several venues, reflecting a range of interests within their fields of study. These venues include:

  • Research Square (Research Square)
  • Journal of Cloud Computing Advances Systems and Applications
  • Journal of Grid Computing
  • Future Internet
  • Interconnection An Economic Perspective Horizon

Some of their recent papers are as follows:

  • Latency and resource consumption analysis for serverless edge analytics, 2023, Journal of Cloud Computing Advances Systems and Applications
  • Opportunistic Deployment of Distributed Edge Clouds for Latency-Critical Applications, 2021, Journal of Grid Computing
  • Intelligent Resource Orchestration for 5G Edge Infrastructures, 2024, Future Internet
  • Brand Image, Service Quality, and Online Customer Review on the Decision to Use Gojek Application Services in Pekanbaru, 2023, Interconnection An Economic Perspective Horizon
  • Latency And Resource Consumption Analysis For Serverless Edge Analytics, 2022, Research Square (Research Square)

Their research collaborations include frequent coauthors such as:

  • Rafael Moreno-Vozmediano
  • Eduardo Huedo
  • Ignacio M. Llórente
  • Constantino Vázquez
  • Vlastimil Holer

Best Publications

  • Virtual Infrastructure Management in Private and Hybrid Clouds

    B. Sotomayor;R.S. Montero;I.M. Llorente;I. Foster

  • The reservoir model and architecture for open federated cloud computing

    B. Rochwerger;D. Breitgand;E. Levy;A. Galis

  • Cloud brokering mechanisms for optimized placement of virtual machines across multiple providers

    Johan Tordsson;Rubén S. Montero;Rafael Moreno-Vozmediano;Ignacio M. Llorente

  • IaaS Cloud Architecture: From Virtualized Datacenters to Federated Cloud Infrastructures

    R. Moreno-Vozmediano;R. S. Montero;Ignacio M. Llorente

  • A framework for adaptive execution in grids

    Eduardo Huedo;Ruben S. Montero;Ignacio M. Llorente

  • OpenNebula: A Cloud Management Tool

    Dejan Milojičić;Ignacio M. Llorente;Ruben S. Montero

  • Key Challenges in Cloud Computing: Enabling the Future Internet of Services

    R. Moreno-Vozmediano;R. S. Montero;Ignacio M. Llorente

  • From infrastructure delivery to service management in clouds

    Luis Rodero-Merino;Luis M. Vaquero;Victor Gil;Fermín Galán

  • Capacity Leasing in Cloud Systems using the OpenNebula Engine

    Borja Sotomayor;Ruben S. Montero;Ignacio M. Llorente;Ian Foster

  • The GridWay Framework for Adaptive Scheduling and Execution on Grids

    Eduardo Huedo;Rubén S. Montero;Ignacio Martín Llorente

  • Scheduling strategies for optimal service deployment across multiple clouds

    Jose Luis Lucas-Simarro;Rafael Moreno-Vozmediano;Ruben S. Montero;Ignacio M. Llorente

  • Elastic management of cluster-based services in the cloud

    Rafael Moreno-Vozmediano;Ruben S. Montero;Ignacio M. Llorente

  • Resource Leasing and the Art of Suspending Virtual Machines

    Borja Sotomayor;Rubén Santiago Montero;Ignacio Martín Llorente;Ian Foster

  • Dynamic placement of virtual machines for cost optimization in multi-cloud environments

    Jose Luis Lucas Simarro;Rafael Moreno-Vozmediano;Ruben S. Montero;I. M. Llorente

  • Multicloud Deployment of Computing Clusters for Loosely Coupled MTC Applications

    R Moreno-Vozmediano;R S Montero;I M Llorente

  • A modular meta-scheduling architecture for interfacing with pre-WS and WS Grid resource management services

    Eduardo Huedo;Rubén S. Montero;Ignacio M. Llorente

  • An elasticity model for High Throughput Computing clusters

    Ruben S. Montero;Rafael Moreno-Vozmediano;Ignacio M. Llorente

  • Efficient resource provisioning for elastic Cloud services based on machine learning techniques

    Rafael Moreno-Vozmediano;Rubén S. Montero;Eduardo Huedo;Ignacio Martín Llorente;Ignacio Martín Llorente

  • Experiences on adaptive grid scheduling of parameter sweep applications

    E. Huedo;R.S. Montero;I.M. Llorente

  • Dynamic Provision of Computing Resources from Grid Infrastructures and Cloud Providers

    Constantino Vázquez Blanco;Eduardo Huedo;Rubén S. Montero;Ignacio M. Llorente

Frequent Co-Authors

Ignacio M. Llorente
Ignacio M. Llorente Complutense University of Madrid
Ian Foster
Ian Foster University of Chicago
Alex Galis
Alex Galis University College London
Erik Elmroth
Erik Elmroth Umeå University
Massimo Villari
Massimo Villari University of Messina
Wolfgang Emmerich
Wolfgang Emmerich University College London
Antonio Celesti
Antonio Celesti University of Messina
Derrick Kondo
Derrick Kondo French Institute for Research in Computer Science and Automation - INRIA
Dejan Milojicic
Dejan Milojicic Hewlett-Packard (United States)
Johan Tordsson
Johan Tordsson Umeå University

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