Academic literature on the topic 'Mise en cache en périphérie'
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Journal articles on the topic "Mise en cache en périphérie"
Peterson, Michel. "Pour un nomadisme de la lecture. Notes sur la Reine des prisons de Grèce d’Osman Lins." Études littéraires 25, no. 3 (April 12, 2005): 81–92. http://dx.doi.org/10.7202/501016ar.
Full textGarot, Matthieu. "« 8 Murders Cache-cache ». Récit horrifique et adolescence." Cliniques N° 26, no. 2 (October 31, 2023): 172–86. http://dx.doi.org/10.3917/clini.026.0172.
Full textVerpraet, Gilles. "Souverainetés gaullistes, mobilisations arabes et gilets jaunes : trois figures nouées entre les représentations médiatiques et la construction nationale." Noêma, revue internationale d'études françaises : langue, littérature, culture 1, no. 2 (January 18, 2023): 27–48. http://dx.doi.org/10.12681/noma.32989.
Full textCornish, Graham P. "Au centre ou a la périphérie ? Aperçu international du rôle des bibliothèques nationales dans les réseaux de documentation." Documentation et bibliothèques 39, no. 2 (February 18, 2015): 53–57. http://dx.doi.org/10.7202/1028735ar.
Full textParthenay, Kevin. "L’Amérique latine et la Caraïbe : un espace stratégique incertain entre Atlantique et Pacifique." Questions internationales 112, no. 2 (April 27, 2022): 53–65. http://dx.doi.org/10.3917/quin.112.0053.
Full textBanzo, Mayté. "Structure verte et mise en cohérence de la périphérie métropolitaine de Lisbonne." Sud-Ouest européen 24, no. 1 (2007): 109–24. http://dx.doi.org/10.3406/rgpso.2007.2957.
Full textLAÉ, Jean-François. "La main courante en HLM et l’événement." Sociologie et sociétés 28, no. 1 (September 30, 2002): 177–88. http://dx.doi.org/10.7202/001399ar.
Full textDeshaies, Marie-Ève, and René Charest. "La conservation des parcs nationaux au-delà de leurs frontières." Le Naturaliste canadien 142, no. 1 (November 22, 2017): 50–63. http://dx.doi.org/10.7202/1042013ar.
Full textHo-Pun-Cheung, Élise. "Résister à la « smart city » : une opération de disqualification de la « ville Google » torontoise." Espaces et sociétés 189, no. 2 (October 20, 2023): 59–75. http://dx.doi.org/10.3917/esp.189.0059.
Full textChâteaureynaud, Yves. "Le sport : nouvel enjeu de pouvoir au niveau local." STAPS 10, no. 20 (1989): 7–13. http://dx.doi.org/10.3406/staps.1989.1531.
Full textDissertations / Theses on the topic "Mise en cache en périphérie"
Yu, Shuai. "Multi-user computation offloading in mobile edge computing." Electronic Thesis or Diss., Sorbonne université, 2018. http://www.theses.fr/2018SORUS462.
Full textMobile Edge Computing (MEC) is an emerging computing model that extends the cloud and its services to the edge of the network. Consider the execution of emerging resource-intensive applications in MEC network, computation offloading is a proven successful paradigm for enabling resource-intensive applications on mobile devices. Moreover, in view of emerging mobile collaborative application (MCA), the offloaded tasks can be duplicated when multiple users are in the same proximity. This motivates us to design a collaborative computation offloading scheme for multi-user MEC network. In this context, we separately study the collaborative computation offloading schemes for the scenarios of MEC offloading, device-to-device (D2D) offloading and hybrid offloading, respectively. In the MEC offloading scenario, we assume that multiple mobile users offload duplicated computation tasks to the network edge servers, and share the computation results among them. Our goal is to develop the optimal fine-grained collaborative offloading strategies with caching enhancements to minimize the overall execution delay at the mobile terminal side. To this end, we propose an optimal offloading with caching-enhancement scheme (OOCS) for femto-cloud scenario and mobile edge computing scenario, respectively. Simulation results show that compared to six alternative solutions in literature, our single-user OOCS can reduce execution delay up to 42.83% and 33.28% for single-user femto-cloud and single-user mobile edge computing, respectively. On the other hand, our multi-user OOCS can further reduce 11.71% delay compared to single-user OOCS through users' cooperation. In the D2D offloading scenario, we assume that where duplicated computation tasks are processed on specific mobile users and computation results are shared through Device-to-Device (D2D) multicast channel. Our goal here is to find an optimal network partition for D2D multicast offloading, in order to minimize the overall energy consumption at the mobile terminal side. To this end, we first propose a D2D multicast-based computation offloading framework where the problem is modelled as a combinatorial optimization problem, and then solved using the concepts of from maximum weighted bipartite matching and coalitional game. Note that our proposal considers the delay constraint for each mobile user as well as the battery level to guarantee fairness. To gauge the effectiveness of our proposal, we simulate three typical interactive components. Simulation results show that our algorithm can significantly reduce the energy consumption, and guarantee the battery fairness among multiple users at the same time. We then extend the D2D offloading to hybrid offloading with social relationship consideration. In this context, we propose a hybrid multicast-based task execution framework for mobile edge computing, where a crowd of mobile devices at the network edge leverage network-assisted D2D collaboration for wireless distributed computing and outcome sharing. The framework is social-aware in order to build effective D2D links [...]
Langevin, Laprise Marie. "La mise en pratique de l’extension financière à la périphérie. Agencements péruviens." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32602.
Full textBen, Ammar Hamza. "On models for performance evaluation and cache resources placement in multi-cache networks." Thesis, Rennes 1, 2019. http://www.theses.fr/2019REN1S006/document.
Full textIn the last few years, Content Providers (CPs) have experienced a high increase in requests for video contents and rich media services. In view of the network scaling limitations and beyond Content Delivery Networks (CDNs), Internet Service Providers (ISPs) are developing their own caching systems in order to improve the network performance. These factors explain the enthusiasm around the Content-Centric Networking (CCN) concept and its in-network caching feature. The analytical quantification of caching performance is, however, not sufficiently explored in the literature. Moreover, setting up an efficient caching system within a network infrastructure is very complex and remains an open problem. To address these issues, we provide first in this thesis a fairly generic and accurate model of caching nodes named MACS (Markov chain-based Approximation of Caching Systems) that can be adapted very easily to represent different caching schemes and which can be used to compute different performance metrics of multi-cache networks. We tackled after that the problem of cache resources allocation in cache-enabled networks. By means of our analytical tool MACS, we present an approach that solves the trade-off between different performance metrics using multi-objective optimization and we propose an adaptation of the metaheuristic GRASP to solve the optimization problem
Zhao, Hui. "High performance cache-aided downlink systems : novel algorithms and analysis." Electronic Thesis or Diss., Sorbonne université, 2022. http://www.theses.fr/2022SORUS366.
Full textThe thesis first addresses the worst-user bottleneck of wireless coded caching, which is known to severely diminish cache-aided multicasting gains. We present a novel scheme, called aggregated coded caching, which can fully recover the coded caching gains by capitalizing on the shared side information brought about by the effectively unavoidable file-size constraint. The thesis then transitions to scenarios with transmitters with multi-antenna arrays. In particular, we now consider the multi-antenna cache-aided multi-user scenario, where the multi-antenna transmitter delivers coded caching streams, thus being able to serve multiple users at a time, with a reduced radio frequency (RF) chains. By doing so, coded caching can assist a simple analog beamformer (only a single RF chain), thus incurring considerable power and hardware savings. Finally, after removing the RF-chain limitation, the thesis studies the performance of the vector coded caching technique, and reveals that this technique can achieve, under several realistic assumptions, a multiplicative sum-rate boost over the optimized cacheless multi-antenna counterpart. In particular, for a given downlink MIMO system already optimized to exploit both multiplexing and beamforming gains, our analysis answers a simple question: What is the multiplicative throughput boost obtained from introducing reasonably-sized receiver-side caches?
Meddeb, Maroua. "Information-Centric Networking, A natural design for IoT applications?" Thesis, Toulouse, INSA, 2017. http://www.theses.fr/2017ISAT0013/document.
Full textThe Internet of Things (IoT) is commonly perceived as the extension of the current Internet to our physical world. It interconnects an unprecedented number of sensors/actuators, referred as things, to the Internet. Facing the important challenges imposed by devices heterogeneity and the tremendous generated traffic, the current Internet protocol suite has reached its limits. The Information-Centric Networking (ICN) has recently received a lot of attention as a potential Internet architecture to be adopted in an IoT ecosystem. The ICN paradigm is shaping the foreseen future Internet architecture by focusing on the data itself rather than its hosting location. It is a shift from a host-centric! communication model to a content-centric one supporting among! others unique and location-independent content names, in-network caching and name-based routing. By leveraging the easy data access, and reducing both the retrieval delay and the load on the data producer, the ICN can be a viable framework to support the IoT, interconnecting billions of heterogeneous constrained objects. Among several ICN architectures, the Named Data Networking (NDN) is considered as a suitable ICN architecture for IoT systems. Nevertheless, new issues have emerged slowing down the ambitions besides using the ICN paradigm in IoT environments. In fact, we have identified three major challenges. Since IoT devices are usually resource-constrained with harsh limitations on energy, memory and processing power, the adopted in-network caching techniques should be optimized. Furthermore, IoT data are transient and frequently updated by the producer which imposes stringent requirements to maintain cached data freshness. Finally, in IoT scenario, devices are ! frequently mobile and IoT applications require keeping data continuity. In this thesis, we propose a caching strategy that considers devices constraints. Then, we introduce a novel cache freshness mechanism to monitor the validity of cached contents in an IoT environment. Furthermore, to improve caching efficiency, we also propose a cache replacement policy that targets to raise the system performances and maintain data freshness. Finally, we introduce a novel name-based routing for NDN/IoT networks to support the producer mobility. We simulate and compare our proposals to several relevant schemes under a real traffic IoT network. Our schemes exhibit good system performances in terms of hop reduction ratio, server hit reduction ratio, response latency and packet loss, yet it provides a low cache cost and significantly improves the content validity
Busseuil, Rémi. "Exploration d'architecture d'accélérateurs à mémoire distribuée." Thesis, Montpellier 2, 2012. http://www.theses.fr/2012MON20218/document.
Full textAlthough the accelerators market is dominated by heterogeneous MultiProcessor Systems-on-Chip (MPSoC), i.e. with different specialized processors, a growing interest is put on another type of MPSoC, composed by an array of identical processors. Even if these processors achieved lower performance to power ratio, the better flexibility and programmability of these homogeneous MPSoC allow an easier adaptation to the load, and offer a wider space of configurations. In this context, this thesis exposes the development of a scalable homogeneous MPSoC – i.e. with linear performance scaling – and different kind of adaptive mechanisms and programming model on it.This architecture is based on an array of MicroBlaze-like processors, each having its own memory, and connected through a 2D NoC. A modular RTOS was build on top of it. Thanks to a complex communication stack, different adaptive mechanisms were made: a “redirected data” task migration mechanism, reducing the impact of the migration mechanism for data-flow applications, and a “remote execution” mechanism. Instead of migrate the instruction code from a memory to another, this last consists in only migrate the execution, keeping the code in its initial memory. The different experiments shows faster reactivity but lower performance of this mechanism compared to migration.This development naturally led to the creation of a shared memory programming model. To achieve this, a scalable hardware/software memory consistency and cache coherency mechanism has been made, through the PThread library development. Experiments show the advantage of using NoC based homogeneous MPSoC with a brand programming model
Kamel, Boumédiène. "La responsabilite professionnelle pour les dommages causes par les produits industriels. Techniques legales et jurisprudentielles de mise en oeuvre de la responsabilite." Rennes 1, 1986. http://www.theses.fr/1986REN11030.
Full textJaber, Ghada. "A content-centric approach for wireless sensor networks." Thesis, Toulouse 3, 2018. http://www.theses.fr/2018TOU30196.
Full textWireless sensor networks are an essential part of the Internet of Things (IoT) "perception" layer. IoT connects the digital world created by conventional computer networks to the physical world. They continually bring new applications to life through a large number of elements that collect, process and disseminate environmental data. Today, moves accross the IoT a large and varied volume of data. Data is generated in a continuous way with a greater emphasis on information and not on its source. This indifference to the source is reinforced by the interchangeable and redundant deployments of the sensor networks. In this thesis, we focus on integrating the principles and mechanisms of content-oriented networks in wireless sensor networks to improve the operation and performance of these networks. Hence, we first focused on the temporal relevance of data in content-centric sensor networks. Indeed, we considered the content lifetime (or freshness) and we proposed two approaches (one reactive and the other proactive) for their update. In the second part of the thesis, we proposed a mechanism based on the control of the duty-cycle to overcome the impact of the flooding mainly used to disseminate the interests sent by the users and the corresponding contents. For this purpose, we tried to maintain a sufficient subset of nodes necessary to satisfy the interests received by the network. The main challenge was to reduce energy consumption thanks to a mechanism controlling the node activity while keeping a good interest satisfaction rate. Finally, to improve the content caching in a sensor network, we have studied the existing strategies and identified the parameters impacting their performance. We then proposed a strategy placing the contents according to the degree of the nodes and their distance from the source. An exhaustive comparative study with other solutions show that the proposed mechanisms guarantee good performance in terms of latency, energy consumption and interest satisfaction rate
Boughida, Malik. "Factorisation du rendu de Monte-Carlo fondée sur les échantillons et le débruitage bayésien." Thesis, Paris, ENST, 2017. http://www.theses.fr/2017ENST0013/document.
Full textMonte Carlo ray tracing is known to be a particularly well-suited class of algorithms for photorealistic rendering. However, its fundamentally random nature breeds noise in the generated images. In this thesis, we develop new algorithms based on Monte Carlo samples and Bayesian inference in order to factorize rendering computations, by sharing information across pixels or by caching previous results. In the context of offline rendering, we build upon a recent denoising technique from the image processing community, called Non-local Bayes, to develop a new patch-based collaborative denoising algorithm, named Bayesian Collaborative Denoising. It is designed to be adapted to the specificities of Monte Carlo noise, and uses the additionnal input data that we can get by gathering per-pixel sample statistics. In a second step, to factorize computations of interactive Monte Carlo rendering, we propose a new algorithm based on path tracing, called Dynamic Bayesian Caching. A clustering of pixels enables a smart grouping of many samples. Hence we can compute meaningful statistics on them. These statistics are compared with the ones that are stored in a cache to decide whether the former should replace or be merged with the latter. Finally, a Bayesian denoising, inspired from the works of the first part, is applied to enhance image quality
Boughida, Malik. "Factorisation du rendu de Monte-Carlo fondée sur les échantillons et le débruitage bayésien." Electronic Thesis or Diss., Paris, ENST, 2017. http://www.theses.fr/2017ENST0013.
Full textMonte Carlo ray tracing is known to be a particularly well-suited class of algorithms for photorealistic rendering. However, its fundamentally random nature breeds noise in the generated images. In this thesis, we develop new algorithms based on Monte Carlo samples and Bayesian inference in order to factorize rendering computations, by sharing information across pixels or by caching previous results. In the context of offline rendering, we build upon a recent denoising technique from the image processing community, called Non-local Bayes, to develop a new patch-based collaborative denoising algorithm, named Bayesian Collaborative Denoising. It is designed to be adapted to the specificities of Monte Carlo noise, and uses the additionnal input data that we can get by gathering per-pixel sample statistics. In a second step, to factorize computations of interactive Monte Carlo rendering, we propose a new algorithm based on path tracing, called Dynamic Bayesian Caching. A clustering of pixels enables a smart grouping of many samples. Hence we can compute meaningful statistics on them. These statistics are compared with the ones that are stored in a cache to decide whether the former should replace or be merged with the latter. Finally, a Bayesian denoising, inspired from the works of the first part, is applied to enhance image quality
Books on the topic "Mise en cache en périphérie"
K, Wallace Donna, ed. Mort sur ordonnance: La vérité consternante que cache la surconsommation de médicaments. Gatineau, Québec: Éditions du Trésor caché, 2005.
Find full textBook chapters on the topic "Mise en cache en périphérie"
Fanchette, Sylvie. "Le foncier comme révélateur de l’inégalité croissante de la distribution des facteurs de production au Vietnam." In Inégalités en perspectives, 107–23. Editions des archives contemporaines, 2019. http://dx.doi.org/10.17184/eac.1623.
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