Juan M. Alberola

Dr. Juan M. Alberola


Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

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

Representative Publications

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1 June 2016 in Knowledge-Based Systems
Verified
Journal Article
Closed access
JAJuan M. Alberola
Juan M. Alberola
EVElena del Val-Noguera
Elena del Val-Noguera
VSVictor Sanchez-Anguix
Victor Sanchez-Anguix
APAlberto Palomares
Alberto Palomares
MTMaria Dolores Teruel
Maria Dolores Teruel

1 September 2019 in International Journal of Human-Computer Studies
Verified
Journal Article
Closed access
JAJ. Alemany
J. Alemany
EVElena del Val-Noguera
Elena del Val-Noguera
JAJuan M. Alberola
Juan M. Alberola
AGA. García-Fornes
A. García-Fornes

1 May 2018 in Future Generation Computer Systems
Verified
Journal Article
Closed access
JAJ. Alemany
J. Alemany
EVElena del Val-Noguera
Elena del Val-Noguera
JAJuan M. Alberola
Juan M. Alberola
AGA. García-Fornes
A. García-Fornes

8 May 2006
Verified
Conference Paper
Open access
PDF file
LMLuis Mulet
Luis Mulet
JSJose M. Such
Jose M. Such
JAJuan M. Alberola
Juan M. Alberola

4 June 2010 in Artificial Intelligence Review
Verified
Journal Article
Closed access
PDF file
JAJuan M. Alberola
Juan M. Alberola
JSJose M. Such
Jose M. Such
AGAna García-Fornes
Ana García-Fornes
AEAgustin Espinosa
Agustin Espinosa
Vicent BottiVicent Botti
Vicent Botti

1 January 2013 in Computer Science and Information Systems
Verified
Journal Article
Open access
JAJuan M. Alberola
Juan M. Alberola
JSJose Such
Jose Such
Vicent BottiVicent Botti
Vicent Botti
AEAgustín Espinosa
Agustín Espinosa
AGAna García-Fornes
Ana García-Fornes
A new generation of open and dynamic systems requires execution frameworks that are capable of being efficient and scalable when large populations of agents are launched. These frameworks must provide efficient support for systems of this kind, by means of an efficient messaging service, agent group management, security issues, etc. To cope with these requirements, in this paper, we present a novel Multiagent Platform that has been developed at the Operating System level. This feature provides high efficiency rates and scalability compared to other high-performance middleware-based Multiagent Platforms.