Auswahl der wissenschaftlichen Literatur zum Thema „Infrastructure informatique distribuée“
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Zeitschriftenartikel zum Thema "Infrastructure informatique distribuée"
Dupont12, Benoît. „La régulation du cybercrime comme alternative à la judiciarisation“. Criminologie 47, Nr. 2 (30.09.2014): 179–201. http://dx.doi.org/10.7202/1026733ar.
Der volle Inhalt der QuelleShi, Lizhen, und Zhong Wang. „Computational Strategies for Scalable Genomics Analysis“. Genes 10, Nr. 12 (06.12.2019): 1017. http://dx.doi.org/10.3390/genes10121017.
Der volle Inhalt der QuelleGuru, Abhishek, Bhabendu Kumar Mohanta, Hitesh Mohapatra, Fadi Al-Turjman, Chadi Altrjman und Arvind Yadav. „A Survey on Consensus Protocols and Attacks on Blockchain Technology“. Applied Sciences 13, Nr. 4 (17.02.2023): 2604. http://dx.doi.org/10.3390/app13042604.
Der volle Inhalt der QuelleSchimmenti, Emanuele, Elli Vassiliadis und Antonino Galati. „Il ruolo delle Tecnologie Informatiche e di Comunicazione e della logistica distributiva sulla competitivitŕ del comparto ortofrutticolo siciliano“. ECONOMIA AGRO-ALIMENTARE, Nr. 2 (November 2012): 11–40. http://dx.doi.org/10.3280/ecag2012-002002.
Der volle Inhalt der QuelleRaes, Niels, Ana Casino, Hilary Goodson, Sharif Islam, Dimitrios Koureas, Edmund Schiller, Leif Schulman, Laura Tilley und Tim Robertson. „White paper on the alignment and interoperability between the Distributed System of Scientific Collections (DiSSCo) and EU infrastructures - The case of the European Environment Agency (EEA)“. Research Ideas and Outcomes 6 (30.12.2020). http://dx.doi.org/10.3897/rio.6.e62361.
Der volle Inhalt der QuelleNieva de la Hidalga, Abraham, Nicolas Cazenave, Donat Agosti, Zhengzhe Wu, Mathias Dillen und Lars Nielsen. „Use of European Open Science Cloud and National e-Infrastructures for the Long-Term Storage of Digitised Assets from Natural History Collections“. Biodiversity Information Science and Standards 3 (18.06.2019). http://dx.doi.org/10.3897/biss.3.37164.
Der volle Inhalt der QuelleSchaller, Michael D. „Efficacy of Centers of Biomedical Research Excellence (CoBRE) grants to build research capacity in underrepresented states“. FASEB Journal 38, Nr. 6 (18.03.2024). http://dx.doi.org/10.1096/fj.202301610r.
Der volle Inhalt der QuelleZarei, Farzaneh, und Mazdak Nik-Bakht. „Extending CityGML with public input – social ADE“. Built Environment Project and Asset Management, 31.05.2024. http://dx.doi.org/10.1108/bepam-09-2023-0163.
Der volle Inhalt der QuelleClissa, Luca, Mario Lassnig und Lorenzo Rinaldi. „Analyzing WLCG File Transfer Errors Through Machine Learning“. Computing and Software for Big Science 6, Nr. 1 (22.10.2022). http://dx.doi.org/10.1007/s41781-022-00089-z.
Der volle Inhalt der QuelleMacklin, James, David Shorthouse und Falko Glöckler. „I Know Something You Don’t Know: The annotation saga continues…“. Biodiversity Information Science and Standards 7 (14.09.2023). http://dx.doi.org/10.3897/biss.7.112715.
Der volle Inhalt der QuelleDissertationen zum Thema "Infrastructure informatique distribuée"
Deneault, Sébastien. „Infrastructure distribuée permettant la détection d'attaques logicielles“. Mémoire, Université de Sherbrooke, 2013. http://hdl.handle.net/11143/6170.
Der volle Inhalt der QuelleGallard, Jérôme. „Flexibilité dans la gestion des infrastructures informatiques distribuées“. Phd thesis, Université Rennes 1, 2011. http://tel.archives-ouvertes.fr/tel-00625278.
Der volle Inhalt der QuelleRojas, Balderrama Javier. „Gestion du cycle de vie de services déployés sur une infrastructure de calcul distribuée en neuroinformatique“. Phd thesis, Université de Nice Sophia-Antipolis, 2012. http://tel.archives-ouvertes.fr/tel-00804893.
Der volle Inhalt der QuelleGaronne, Vincent. „Etude, définition et modélisation d'un système distribué à grande échelle : DIRAC - Distributed infrastructure with remote agent control“. Aix-Marseille 2, 2005. http://theses.univ-amu.fr.lama.univ-amu.fr/2005AIX22057.pdf.
Der volle Inhalt der QuelleChuchuk, Olga. „Optimisation de l'accès aux données au CERN et dans la Grille de calcul mondiale pour le LHC (WLCG)“. Electronic Thesis or Diss., Université Côte d'Azur, 2024. http://www.theses.fr/2024COAZ4005.
Der volle Inhalt der QuelleThe Worldwide LHC Computing Grid (WLCG) offers an extensive distributed computing infrastructure dedicated to the scientific community involved with CERN's Large Hadron Collider (LHC). With storage that totals roughly an exabyte, the WLCG addresses the data processing and storage requirements of thousands of international scientists. As the High-Luminosity LHC phase approaches, the volume of data to be analysed will increase steeply, outpacing the expected gain through the advancement of storage technology. Therefore, new approaches to effective data access and management, such as caches, become essential. This thesis delves into a comprehensive exploration of storage access within the WLCG, aiming to enhance the aggregate science throughput while limiting the cost. Central to this research is the analysis of real file access logs sourced from the WLCG monitoring system, highlighting genuine usage patterns.In a scientific setting, caching has profound implications. Unlike more commercial applications such as video streaming, scientific data caches deal with varying file sizes—from a mere few bytes to multiple terabytes. Moreover, the inherent logical associations between files considerably influence user access patterns. Traditional caching research has predominantly revolved around uniform file sizes and independent reference models. Contrarily, scientific workloads encounter variances in file sizes, and logical file interconnections significantly influence user access patterns.My investigations show how LHC's hierarchical data organization, particularly its compartmentalization into datasets, impacts request patterns. Recognizing the opportunity, I introduce innovative caching policies that emphasize dataset-specific knowledge, and compare their effectiveness with traditional file-centric strategies. Furthermore, my findings underscore the "delayed hits" phenomenon triggered by limited connectivity between computing and storage locales, shedding light on its potential repercussions for caching efficiency.Acknowledging the long-standing challenge of predicting Data Popularity in the High Energy Physics (HEP) community, especially with the upcoming HL-LHC era's storage conundrums, my research integrates Machine Learning (ML) tools. Specifically, I employ the Random Forest algorithm, known for its suitability with Big Data. By harnessing ML to predict future file reuse patterns, I present a dual-stage method to inform cache eviction policies. This strategy combines the power of predictive analytics and established cache eviction algorithms, thereby devising a more resilient caching system for the WLCG. In conclusion, this research underscores the significance of robust storage services, suggesting a direction towards stateless caches for smaller sites to alleviate complex storage management requirements and open the path to an additional level in the storage hierarchy. Through this thesis, I aim to navigate the challenges and complexities of data storage and retrieval, crafting more efficient methods that resonate with the evolving needs of the WLCG and its global community
Tato, Genc. „Lazy and locality-aware building blocks for fog middleware : a service discovery use case“. Thesis, Rennes 1, 2019. http://www.theses.fr/2019REN1S079.
Der volle Inhalt der QuelleIn the last decade, cloud computing has grown to become the standard deployment environment for most distributed applications. While cloud providers have continuously extended their coverage to different locations worldwide, the distance of their datacenters to the end users still often translates into significant latency and network utilization. With the advent of new families of applications such as virtual/augmented reality and self-driving vehicles, which operate on very low latency, or the IoT, which generates enormous amounts of data, the current centralized cloud infrastructure has shown to be unable to support their stringent requirements. This has shifted the focus to more distributed alternatives such as fog computing. Although the premises of such infrastructure seem auspicious, a standard fog management platform is yet to emerge. Consequently, significant attention is dedicated to capturing the right design requirements for delivering those premises. In this dissertation, we aim at designing building blocks which can provide basic functionalities for fog management tasks. Starting from the basic fog principle of preserving locality, we design a lazy and locality-aware overlay network called Koala, which provides efficient decentralized management without introducing additional traffic overhead. In order to capture additional requirements which originate from the application layer, we port a well-known microservice-based application, namely Sharelatex, to a fog environment. We examine how its performance is affected and what functionalities the management layer can provide in order to facilitate its fog deployment and improve its performance. Based on our overlay building block and the requirements retrieved from the fog deployment of the application, we design a service discovery mechanism which satisfies those requirements and integrates these components into a single prototype. This full stack prototype enables a complete end-to-end evaluation of these components based on real use case scenarios
Villebonnet, Violaine. „Scheduling and Dynamic Provisioning for Energy Proportional Heterogeneous Infrastructures“. Thesis, Lyon, 2016. http://www.theses.fr/2016LYSEN057/document.
Der volle Inhalt der QuelleThe increasing number of data centers raises serious concerns regarding their energy consumption. These infrastructures are often over-provisioned and contain servers that are not fully utilized. The problem is that inactive servers can consume as high as 50% of their peak power consumption.This thesis proposes a novel approach for building data centers so that their energy consumption is proportional to the actual load. We propose an original infrastructure named BML for "Big, Medium, Little", composed of heterogeneous computing resources : from low power processors to classical servers. The idea is to take advantage of their different characteristics in terms of energy consumption, performance, and switch on reactivity to adjust the composition of the infrastructure according to the load evolutions. We define a generic methodology to compute the most energy proportional combinations of machines based on hardware profiling data.We focus on web applications whose load varies over time and design a scheduler that dynamically reconfigures the infrastructure, with application migrations and machines switch on and off, to minimize the infrastructure energy consumption according to the current application requirements.We have developed two different dynamic provisioning algorithms which take into account the time and energy overheads of the different reconfiguration actions in the decision process. We demonstrate through simulations based on experimentally acquired hardware profiles that we achieve important energy savings compared to classical data center infrastructures and management
Ariyattu, Resmi. „Towards federated social infrastructures for plug-based decentralized social networks“. Thesis, Rennes 1, 2017. http://www.theses.fr/2017REN1S031/document.
Der volle Inhalt der QuelleIn this thesis, we address two issues in the area of decentralized distributed systems: network-aware overlays and collaborative editing. Even though network overlays have been extensively studied, most solutions either ignores the underlying physical network topology, or uses mechanisms that are specific to a given platform or applications. This is problematic, as the performance of an overlay network strongly depends on the way its logical topology exploits the underlying physical network. To address this problem, we propose Fluidify, a decentralized mechanism for deploying an overlay network on top of a physical infrastructure while maximizing network locality. Fluidify uses a dual strategy that exploits both the logical links of an overlay and the physical topology of its underlying network to progressively align one with the other. The resulting protocol is generic, efficient, scalable and can substantially improve network overheads and latency in overlay based systems. The second issue that we address focuses on collaborative editing platforms. Distributed collaborative editors allow several remote users to contribute concurrently to the same document. Only a limited number of concurrent users can be supported by the currently deployed editors. A number of peer-to-peer solutions have therefore been proposed to remove this limitation and allow a large number of users to work collaboratively. These decentralized solution assume however that all users are editing the same set of documents, which is unlikely to be the case. To open the path towards more flexible decentralized collaborative editors, we present Filament, a decentralized cohort-construction protocol adapted to the needs of large-scale collaborative editors. Filament eliminates the need for any intermediate DHT, and allows nodes editing the same document to find each other in a rapid, efficient and robust manner by generating an adaptive routing field around themselves. Filament's architecture hinges around a set of collaborating self-organizing overlays that utilizes the semantic relations between peers. The resulting protocol is efficient, scalable and provides beneficial load-balancing properties over the involved peers
Croubois, Hadrien. „Toward an autonomic engine for scientific workflows and elastic Cloud infrastructure“. Thesis, Lyon, 2018. http://www.theses.fr/2018LYSEN061/document.
Der volle Inhalt der QuelleThe constant development of scientific and industrial computation infrastructures requires the concurrent development of scheduling and deployment mechanisms to manage such infrastructures. Throughout the last decade, the emergence of the Cloud paradigm raised many hopes, but achieving full platformautonomicity is still an ongoing challenge. Work undertaken during this PhD aimed at building a workflow engine that integrated the logic needed to manage workflow execution and Cloud deployment on its own. More precisely, we focus on Cloud solutions with a dedicated Data as a Service (DaaS) data management component. Our objective was to automate the execution of workflows submitted by many users on elastic Cloud resources.This contribution proposes a modular middleware infrastructure and details the implementation of the underlying modules:• A workflow clustering algorithm that optimises data locality in the context of DaaS-centeredcommunications;• A dynamic scheduler that executes clustered workflows on Cloud resources;• A deployment manager that handles the allocation and deallocation of Cloud resources accordingto the workload characteristics and users’ requirements. All these modules have been implemented in a simulator to analyse their behaviour and measure their effectiveness when running both synthetic and real scientific workflows. We also implemented these modules in the Diet middleware to give it new features and prove the versatility of this approach.Simulation running the WASABI workflow (waves analysis based inference, a framework for the reconstruction of gene regulatory networks) showed that our approach can decrease the deployment cost byup to 44% while meeting the required deadlines
Dugenie, Pascal. „Espaces Collaboratifs Ubiquitaires sur une infrastructure à ressources distribuées“. Phd thesis, Université Montpellier II - Sciences et Techniques du Languedoc, 2007. http://tel.archives-ouvertes.fr/tel-00203542.
Der volle Inhalt der QuelleBücher zum Thema "Infrastructure informatique distribuée"
Sharda, Ramesh. Operations Research and Cyber-Infrastructure. Boston, MA: Springer US, 2009.
Den vollen Inhalt der Quelle finden1974-, Wang Lizhe, Jie Wei und Chen Jinjun, Hrsg. Grid computing: Infrastructure, service, and applications. Boca Raton: CRC Press, 2009.
Den vollen Inhalt der Quelle findenWang, Lizhe, und Wei Jie. Grid Computing: Infrastructure, Service, and Application. CRC, 2009.
Den vollen Inhalt der Quelle findenWang, Lizhe, Wei Jie und Jinjun Chen. Grid Computing: Infrastructure, Service, and Applications. Taylor & Francis Group, 2018.
Den vollen Inhalt der Quelle findenWang, Lizhe, Wei Jie und Jinjun Chen. Grid Computing: Infrastructure, Service, and Applications. Taylor & Francis Group, 2018.
Den vollen Inhalt der Quelle findenWang, Lizhe, Wei Jie und Jinjun Chen. Grid Computing: Infrastructure, Service, and Applications. Taylor & Francis Group, 2017.
Den vollen Inhalt der Quelle findenWang, Lizhe, Wei Jie und Jinjun Chen. Grid Computing: Infrastructure, Service, and Applications. Taylor & Francis Group, 2018.
Den vollen Inhalt der Quelle findenKonferenzberichte zum Thema "Infrastructure informatique distribuée"
Marino, Marco, Silvio Del Giudice, Fabio Chiappa und Giuseppe Giunta. „Advanced Leak Detection Applications for Pipeline Integrity Management Using Vibroacoustic Technology“. In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/210951-ms.
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