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Peer Reviewed
See detailPRESENCE: Performance Metrics Models for Cloud SaaS Web Services
Ibrahim, Abdallah Ali Zainelabden Abdallah UL; Wasim, Umer; Varrette, Sébastien UL et al

in Proc. of the 11th IEEE Intl. Conf. on Cloud Computing (CLOUD 2018) (2018, July)

Detailed reference viewed: 130 (9 UL)
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See detailLuxembourg Proposals for Large Scale Architectures for Data Science
Varrette, Sébastien UL

Speeches/Talks (2018)

Detailed reference viewed: 32 (2 UL)
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Peer Reviewed
See detailOn Verifying and Assuring the Cloud SLA by Evaluating the Performance of SaaS Web Services Across Multi-cloud Providers
Ibrahim, Abdallah Ali Zainelabden Abdallah UL; Varrette, Sébastien UL; Bouvry, Pascal UL

in 48th Annual IEEE/IFIP Intl. Conf. on Dependable Systems and Networks Workshops (DNS'18) (2018, June)

Detailed reference viewed: 127 (10 UL)
See detailUL HPC Tutorial: Bio-informatics workflows and applications
Plugaru, Valentin UL; Diehl, Sarah UL; Varrette, Sébastien UL et al

Presentation (2018, June)

Detailed reference viewed: 63 (3 UL)
See detailUL HPC Tutorial: (Advanced) Prototyping with Python
Parisot, Clément UL; Diehl, Sarah UL; Varrette, Sébastien UL et al

Presentation (2018, June)

Detailed reference viewed: 70 (4 UL)
See detailUL HPC Tutorial: HPC Containers with Singularity
Plugaru, Valentin UL; Varrette, Sébastien UL; Diehl, Sarah UL et al

Presentation (2018, June)

Detailed reference viewed: 100 (6 UL)
See detailUL HPC Tutorial: HPC workflow with sequential jobs
Cartiaux, Hyacinthe UL; Varrette, Sébastien UL; Plugaru, Valentin UL et al

Presentation (2018, June)

Detailed reference viewed: 119 (10 UL)
See detailUL HPC Tutorial: Advanced Job scheduling with SLURM and OAR
Plugaru, Valentin UL; Varrette, Sébastien UL; Diehl, Sarah UL et al

Presentation (2018, June)

Detailed reference viewed: 95 (5 UL)
See detailUL HPC Tutorial: Parallel computations with OpenMP/MPI
Varrette, Sébastien UL; Plugaru, Valentin UL; Diehl, Sarah UL et al

Presentation (2018, June)

Detailed reference viewed: 53 (1 UL)
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See detailThéorie des Codes : Compression, Cryptage et Correction
Dumas, J.-G.; Roch, J.-L.; Tannier, E. et al

Book published by Dunod - 3rd (2018)

Transmettre des informations sous forme numérique suppose entre autres d’optimiser la taille des messages transmis pour éviter de surcharger les canaux de transmission, d’être capable de rectifier des ... [more ▼]

Transmettre des informations sous forme numérique suppose entre autres d’optimiser la taille des messages transmis pour éviter de surcharger les canaux de transmission, d’être capable de rectifier des erreurs apparues en cours de transmission, de crypter les contenus et d’authentifier les émissaires et les destinataires… L’originalité de cet ouvrage est de présenter tous les fondements mathématiques et informatiques sur lesquels reposent ces techniques. Les notions théoriques présentées sont illustrées par 140 exercices corrigés. Cette 3e édition s’enrichit de compléments sur les infrastructures à clefs publiques (PKI), les courbes elliptiques, les registres à décalage (LFSR), les fonctions de hachage. L’utilisation de la cryptographie dans les applications mobiles (Facebook, Messenger, WhatsApp…) est abordée, et des bonnes pratiques de sécurité sont présentées pour des utilitaires incontournables comme GPG et SSH. [less ▲]

Detailed reference viewed: 131 (2 UL)
See detailUL HPC Tutorial: Statistical Computing with R
Ginolhac, Aurélien UL; Emeras, Joseph; Varrette, Sébastien UL et al

Presentation (2018, June)

Detailed reference viewed: 106 (19 UL)
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Peer Reviewed
See detailA Standardized Broker Model in Smart Cities
Liu, Chao UL; Varrette, Sébastien UL; Brust, Matthias R. UL et al

Poster (2018, May)

As urban residents are expected to represent more than 60 per cent of the world’s population by 2050, the current developments and interests in the “Smart City” concept are essential to enable the ... [more ▼]

As urban residents are expected to represent more than 60 per cent of the world’s population by 2050, the current developments and interests in the “Smart City” concept are essential to enable the successful transition to this new era. This paradigm relies on the integration of emerging Information and Communication Technologies (ICT), such as the Internet of Things (IoT), Cloud Computing, Big Data to manage assets and resources efficiently while facilitating the planning, construction, management and smart services within cities. While smart cities aim to enhance the quality, performance and interactivity of urban services at reduced cost, their realization is faced by many regulatory and technical challenges. Among these challenges, is the integration of renewable energy resources to the utility system of smart cities motivated by the increasingclimate change concerns. Adding further to its complexity, is the challenge of incorporating multiple renewable energy retailers in the same region each with their own pricing strategies due to the lack of a standardized metering indicator and billing system. These challenges create a need for an intelligent and standardized cloud-based energy broker to satisfying the end-user requests, and minimize expenses by efficiently selecting the most suitable energy retailer. In our work, a particular focus is raised towards the optimization of such energy brokering service which is motivated by the orchestration of a brokering role aiming to improve user experience and interaction with smart city services. Hence our main contribution is proposing a standardized intelligent broker model with smart trading strategies to cope with the dynamics and complexity of the energy retail market, while allocating energy resources based on endusers’ demands. This is achieved through the following steps: 1) studying a complete model of the broker service and involved parties within the exposed framework. 2) proposing a multiobjective heuristic to provide a dynamic optimization of the grid operations and resources, with full cyber-security, within the boundaries of the city. 3) analyzing the gaps among industry practices, market requirements and current technical standardization efforts at ISO/IEC JTC 1/ SC 38 (Cloud Computing and distributed platform) in order to pave the way to establishing standards in metering indicators and billing principles for cloud services this while keeping in mind privacy and data protection risks and regulations enforced by ISO JT1/SC 27 and EU General Data Protection Regulation effective May 2018. This research was conducted in collaboration with ILNAS - the Institut Luxem- bourgeois de la Normalisation, de l’Accréditation, de la Sécurité et qualité des produits et services (ILNAS) under the authority of the Minister of Economy, Luxembourg. [less ▲]

Detailed reference viewed: 158 (32 UL)