Alberto Sanchez

Dr. Alberto Sanchez

Universidad Rey Juan Carlos, Madrid - Spain
orcid

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2013 in Future Generation Computer Systems
Verified
Journal Article
Open access
JMJesús Montes
Jesús Montes
Alberto SanchezAlberto Sanchez
Alberto Sanchez
BMBunjamin Memishi
Bunjamin Memishi
MPMaría S. Pérez
María S. Pérez
GAGabriel Antoniu
Gabriel Antoniu
International audienceThe inherent complexity of modern cloud infrastructures has created the need for innovative monitoring approaches, as state-of-the-art solutions used for other large-scale environments do not address specific cloud features. Although cloud monitoring is nowadays an active research field, a comprehensive study covering all its aspects has not been presented yet. This paper provides a deep insight into cloud monitoring. It proposes a unified cloud monitoring taxonomy, based on which it defines a layered cloud monitoring architecture. To illustrate it, we have implemented GMonE, a general-purpose cloud monitoring tool which covers all aspects of cloud monitoring by specifically addressing the needs of modern cloud infrastructures. Furthermore, we have evaluated the performance, scalability and overhead of GMonE with Yahoo Cloud Serving Benchmark (YCSB), by using the OpenNebula cloud middleware on the Grid’5000 experimental testbed. The results of this evaluation demonstrate the benefits of our approach, surpassing the monitoring performance and capabilities of cloud monitoring alternatives such as those present in state-of-the-art systems such as Amazon EC2 and OpenNebula

7 May 2019 in IEEE Transactions on Emerging Topics in Computing
Verified
Journal Article
Closed access
JMJesus Mayor Mayor
Jesus Mayor Mayor
LRLaura Raya
Laura Raya
Alberto SanchezAlberto Sanchez
Alberto Sanchez
In recent years, virtual reality has experienced notorious technological advances in a quite short time. In an attempt to quickly response to this technical developments, some designs and developments of inmersive environments have caused different symptoms such as dizziness or disorientation. This work aims to analyze different methods of interaction and locomotion used in inmersive environments (Point of Interest, Gamepad, Teleport and Room-Scale) in three different aspects: presence, cybersickness and usability. We have designed and developed an experimental environment to carry out an empirical analysis with 48 subjects comparing the results obtained in different perceptual experiments. As a result, we provide a guideline for the use of these methods of interaction and locomotion in virtual reality.

12 August 2015 in IEEE Transactions on Visualization and Computer Graphics
Verified
Journal Article
Closed access
MRManuel Rubio-Sanchez
Manuel Rubio-Sanchez
LRLaura Raya
Laura Raya
FDFrancisco Diaz
Francisco Diaz
Alberto SanchezAlberto Sanchez
Alberto Sanchez
RadViz and star coordinates are two of the most popular projection-based multivariate visualization techniques that arrange variables in radial layouts. Formally, the main difference between them consists of a nonlinear normalization step inherent in RadViz. In this paper we show that, although RadViz can be useful when analyzing sparse data, in general this design choice limits its applicability and introduces several drawbacks for exploratory data analysis. In particular, we observe that the normalization step introduces nonlinear distortions, can encumber outlier detection, prevents associating the plots with useful linear mappings, and impedes estimating original data attributes accurately. In addition, users have greater flexibility when choosing different layouts and views of the data in star coordinates. Therefore, we suggest that analysts and researchers should carefully consider whether RadViz's normalization step is beneficial regarding the data sets' characteristics and analysis tasks.

1 June 2018 in Expert Systems with Applications
Verified
Journal Article
Closed access
Alberto SanchezAlberto Sanchez
Alberto Sanchez
Cristina Soguero-RuizCristina Soguero-Ruiz
Cristina Soguero-Ruiz
IMI. Mora-Jiménez
I. Mora-Jiménez
FRF.J. Rivas-Flores
F.J. Rivas-Flores
DLD.J. Lehmann
D.J. Lehmann
MRM. Rubio-Sánchez
M. Rubio-Sánchez

26 June 2024 in Virtual Reality
Verified
Journal Article
Open access
PDF file
SVSergio Valmorisco
Sergio Valmorisco
LRLaura Raya
Laura Raya
Alberto SanchezAlberto Sanchez
Alberto Sanchez
The personalization of user experiences through recommendation systems has been extensively explored in Internet applications, but this has yet to be fully addressed in Virtual Reality (VR) environments. The complexity of managing geometric 3D data, computational load, and natural interactions poses significant challenges in real-time adaptation in these immersive experiences. However, tailoring VR environments to individual user needs and interests holds promise for enhancing user experiences. In this paper, we present Virtual Reality Environment Adaptation through Recommendations (VR-EAR), a framework designed to address this challenge. VR-EAR employs customizable object metadata and a hybrid recommendation system modeling implicit user feedback in VR environments. We utilize VR optimization techniques to ensure efficient performance. To evaluate our framework, we designed a virtual store where product locations dynamically adjust based on user interactions. Our results demonstrate the effectiveness of VR-EAR in adapting and personalizing VR environments in real time. domains.

1 January 2007 in Future Generation Computer Systems
Verified
Journal Article
Closed access
MPMaría S. Pérez
María S. Pérez
Alberto SanchezAlberto Sanchez
Alberto Sanchez
VRVíctor Robles
Víctor Robles
Pilar Herrero-MartínPilar Herrero-Martín
Pilar Herrero-Martín
JPJosé M. Peña
José M. Peña