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Plateforme d'analyse de performances des méthodes de localisation des données dans le cloud basées sur l'apprentissage automatique exploitant des délais de messages

Malik Irain 1
1 IRIT-T2RS - Temps Réel dans les Réseaux et Systèmes
IRIT - Institut de recherche en informatique de Toulouse
Abstract : Cloud usage is a necessity today, as data produced and used by all types of users (individuals, companies, administrative structures) has become too large to be stored otherwise. It requires to sign, explicitly or not, a contract with a cloud storage provider. This contract specifies the levels of quality of service required for various criteria. Among these criteria is the location of the data. However, this criterion is not easily verifiable by a user. This is why research in the field of data localization verification has led to several studies in recent years, but the proposed solutions can still be improved. The work proposed in this thesis consists in studying solutions of location verification by a user, i.e. solutions that estimate data location and operate using landmarks. The implemented approach can be summarized as follows: exploiting communication delays and using network time models to estimate, with some distance error, data location. To this end, the work carried out is as follows: • A survey of the state of the art on the different methods used to provide users with location information. • The design of a unified notation for the methods studied in the survey, with a proposal of two scores to assess methods. • Implementation of a network measurements collecting platform. Thanks to this platform, two datasets were collected, at both national level and international level. These two data sets are used to evaluate the different methods presented in the state of the art survey. • Implementation of an evaluation architecture based on the two data sets and the defined scores. This allows us to establish the quality of the methods (success rate) and the quality of the results (accuracy of the result) thanks to the proposed scores.
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  • HAL Id : tel-02619739, version 1

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Malik Irain. Plateforme d'analyse de performances des méthodes de localisation des données dans le cloud basées sur l'apprentissage automatique exploitant des délais de messages. Réseaux et télécommunications [cs.NI]. Université Paul Sabatier - Toulouse III, 2019. Français. ⟨NNT : 2019TOU30195⟩. ⟨tel-02619739⟩

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