Appliance Management for Federated Cloud Environments

International audienceCloud infrastructures provide compelling features for scientific and engineering applications. Federated clouds additionally promise improved scalability via access to a larger pool of resources and improved service availability through geographically distributed redundant servers. Effective use of federated clouds requires the creation of portable appliances and consistent appliance management techniques. The StratusLab Marketplace, a platform-agnostic appliance registry, facilitates appliance management in a federated environment. This paper describes the Marketplace design goals, implementation, and security concerns. It also covers the planned improvements based on our experience of running this service in production for more than two years

Final Report on StratusLab Adoption

The StratusLab cloud distribution has been adopted by users from a wide range of scientific disciplines: astrophysics, software engineering, machine learning, high- energy physics, meteorology, and bioinformatics. In addition, there has been commercial update of the distribution for a turnkey private cloud solution aimed at SMEs and a large public deployment by Atos within the Helix Nebula initiative. Both partner and non-partner institutes have used the StratusLab distribution to provide cloud services to their users

Infrastructure Operations Final Report

This document serves as a final report of the activities and achievements of WP5 throughout the whole duration of the project. The document covers the areas of infrastructure operation, service provisioning, support, testing and benchmarking. In addition, the document provides a record of the practical knowledge accumulated during the provision of various public cloud services over a period of almost two years

StratusLab Cloud Distribution

International audienceCloud technologies provide many benefits for scientific and engineering applications, such as customised execution environments, near-instantaneous provisioning, elasticity, and the ability to run user-level services. However, a rapid, wholesale shift to using public, commercial cloud services is unlikely because of capital investments in existing resources and data management issues. To take full advantage of cloud technologies in the short term, institutes and companies must be able to deploy their own cloud infrastructures. The StratusLab project provides a complete, open-source cloud distribution that permits them to do this. The StratusLab services include the computing, storage, and networking services required for an Infrastructure as a Service (IaaS) cloud. It also includes high-level services like the Marketplace that facilitates the sharing of machine images and Claudia that allows the deployment and management of complete software systems

Quarterly Report (QR3)

In the third quarter, the project has built on the first public release (v0.1), providing additional functionality leading up to the 1.0 production release expected at the end of Q4. An additional public, preview release (v0.2) was produced and a subsequent release (v0.3) is expected just after the close of Q3. The releases are progressing well, with v0.3 expected to be nearly feature-complete, lacking only storage functionalities. The project is well-positioned to release the StratusLab v1.0 distribution at PM12 with the complete set of expected features

Vers une fédération de Cloud Académique dans France Grilles

Vers une fédération de Cloud Académique dans France Grille

Cloud Computing Technology and PBL Teaching Approach for a Qualitative Education in Line with SDG4

This paper explores teaching–learning models in this period of the COVID-19 pandemic at Cadi Ayyad University (UCA). It investigates success conditions for e-learning quality education in higher education in line with SDG4, the 4th Sustainable Development Goal: “Ensure inclusive and quality education for all and promote lifelong learning”. This paper demonstrates that an approach of technology alongside teaching could positively impact academic teaching–learning in higher educational systems, leading to an approach focused on humans that aims to cultivate critical thinking, knowledge creation, argumentation, and creativity. This paper concludes with a proposed machine learning model to predict contribution factors to student learning success

Algorithmes de déterminations de zones de pseudo-tangences de surfaces

Le calcul d'intersection de surfaces est la base de nombreuses opérations de modélisation géométrique : booléennes, congés, offset, tuyau,.... Les noyaux de modélisation 3D ont des limitations au niveau de l'intersecteur de surfaces, surtout lorsque les deux surfaces sont Pseudo-Tangentes, les algorithmes standards d'intersection fonctionnent mal ou pas du tout. L'objectif de cette thèse est de s'intéresser à cette limitation dans le kernel 3D d'Open CASCADE, en proposant des algorithmes de Pseudo-Tangences qui répondent à des critères classiques de robustesse, de qualité, et de performance. L'approche est basée sur l'intersection de triangulations associées aux surfaces en déterminant une zone polygonale de pseudo-tangence. Dans ce travail, nous avons étudié les intersections tangentielles de surfaces paramétriques dans un cadre général. Les problèmes fondamentaux abordés sont de quatre ordres : Géométrie différentielle et comportement des algorithmes itératifs, La classification des surfaces vis-à-vis de leurs intersections. Intersection de maillages de surfaces. Les notions de voisinage, raffinement et connexion. Ce travail se concentre ainsi sur la détermination des zones de pseudo-tangences en développant un ensemble d'outils permettant d'améliorer les performances et la robustesse des algorithmes d'intersection de surfaces.Surface/surface intersection is a fundamental geometric operation in solid modelling, computer aided design,.... For general parametric surface intersections, the most commonly used methods include Tracing and Subdivision. However, one shortcoming of all these methods is the inability to compute accurately and reliably tangential surface intersections. Two surfaces patches intersect each other generally at a set of points, form open curves or closed loops. while open curves are easily located by following the boundary curves of the two patches, close loops and singularities pose a robustness challenge since such points or loops can be easily missed by any subdivision or tracing intersection algorithms, especially when the intersecting patches are tangent or nearly parallel (Pseudo-tangent). In this thesis an algorithm is described that solves the Pseudo-Tangential surface intersection problem, the method developed consists on approaching the surface intersections problem as a meshing problem, in the sense that we are given not only two parametric surface patches, but also mesh on them. Both the parameterization and the meshes must be taken into account when computing the intersection. In other word we must compute intersection that lie on both surfaces and on both meshes. The balance between robustness and efficiency of the algorithm is controlled by a set of tolerances. A suite of examples concludes this thesis. The algorithms has been implemented in the Open Cascade kernel 3D and has proved to be reliable, efficient and accurate.PAU-BU Sciences (644452103) / SudocPAU-Bibliothèque de l'IPRA (644452204) / SudocSudocFranceF

Infrastructure Operations Final Report

This document serves as a final report of the activities and achievements of WP5 throughout the whole duration of the project. The document covers the areas of infrastructure operation, service provisioning, support, testing and benchmarking. In addition, the document provides a record of the practical knowledge accumulated during the provision of various public cloud services over a period of almost two years