J
Juan Manuel Garcia Garcia
Researcher at Mines ParisTech
Publications - 14
Citations - 200
Juan Manuel Garcia Garcia is an academic researcher from Mines ParisTech. The author has contributed to research in topics: Anomaly detection & Hidden Markov model. The author has an hindex of 5, co-authored 14 publications receiving 180 citations. Previous affiliations of Juan Manuel Garcia Garcia include Instituto Tecnológico de Morelia & Universidad de Oriente.
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Journal ArticleDOI
A survey of migration mechanisms of virtual machines
TL;DR: A survey of migration mechanisms developed to provide high availability inside virtualized environments is reported and these approaches are classified in three main classes: process migration, memory migration, and suspend/resume migration.
Journal ArticleDOI
A fixed-point algorithm to estimate the Yule–Simon distribution parameter
TL;DR: This paper presents an algorithm to obtain the parameter of the Yule–Simon distribution with maximum likelihood, and makes a comparison of the algorithm with other methods and also shows an application to some empirical data.
Posted Content
Parallel Algorithm for Multiplication on Elliptic Curves.
TL;DR: An algorithm is presented that, using p processors, can compute nP in time O(log n+H(n)=p+ log p), where H(n) is the Hamming weight of n.
Journal ArticleDOI
Strength, fatigue strength and toughness of dissimilar Ti17–Ti64 linear friction welded joints: Effect of soft surface contamination and depletion of α precipitates
TL;DR: The effect of microstructure of three dissimilar linear friction welded joints on the strength, fatigue strength and fracture toughness was studied in this article, where a special attention was paid to role of soft contaminants and α precipitate depletion.
Proceedings ArticleDOI
Evolving HMMs for Network Anomaly Detection Learning through Evolutionary Computation
TL;DR: The best of the evolved HMMs was used to perform anomaly detection in network traffic activity with real data, proving that in all cases that the authors tested GA outperforms Baum-Welch.