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Autor:
Jose, Perez-Mendez Maria, Paola, Zarate-Segura, Eduardo, Davila-Gonzalez, Arturo, Servin-Monroy Monroy Osvaldo, Fernando, Bastida-Gonzalez
Publikováno v:
BMC Infectious Diseases; 10/18/2021, Vol. 21 Issue 1, p1-7, 7p
Publikováno v:
Achieving Real-Time in Distributed Computing
The complexity of determining resource provisioning policies for applications in such complex environments introduces significant inefficiencies in the cloud. Novel approaches are needed to efficiently model and analyse Quality of Service for such ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::980ba9d16dcb28c947e04f1dad53b846
https://doi.org/10.4018/978-1-60960-827-9.ch001
https://doi.org/10.4018/978-1-60960-827-9.ch001
Autor:
Spyridon V. Gogouvitis, Kleopatra Konstanteli, Zlatko Zlatev, Arturo Servin, Bassem Nasser, Stephen Phillips, George Kousiouris, Gregory Katsaros, Michael Boniface, Juri Papay, Andreas Menychtas, Xiaoyu Yang, Dimosthenis Kyriazis
Publikováno v:
2010 Fifth International Conference on Internet and Web Applications and Services.
Cloud computing offers the potential to dramatically reduce the cost of software services through the commoditization of information technology assets and on-demand usage patterns. However, the complexity of determining resource provision policies fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d42891f990ad52ecf33ad4c7ef73b68b
https://doi.org/10.1109/iciw.2010.91
https://doi.org/10.1109/iciw.2010.91
Autor:
Daniel Kudenko, Arturo Servin
Publikováno v:
Multiagent System Technologies ISBN: 9783540878049
MATES
MATES
In this paper we propose a novel approach to train Multi-Agent Reinforcement Learning(MARL) agents to cooperate to detect intrusions in the form of normal and abnormal states in the network. We present an architecture of distributed sensor and decisi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c922c8cec03c262651d45eadfe590c3f
https://doi.org/10.1007/978-3-540-87805-6_15
https://doi.org/10.1007/978-3-540-87805-6_15
Autor:
Daniel Kudenko, Arturo Servin
Publikováno v:
Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning ISBN: 9783540779476
Intrusion Detection Systems (IDS) have been investigated for many years and the field has matured. Nevertheless, there are still important challenges, e.g., how an IDS can detect new and complex distributed attacks. To tackle these problems, we propo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cca04a69b697e87411a5111f59cf88b
https://doi.org/10.1007/978-3-540-77949-0_15
https://doi.org/10.1007/978-3-540-77949-0_15