Literatura académica sobre el tema "Calcul en périphérie de réseaux mobiles"
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Artículos de revistas sobre el tema "Calcul en périphérie de réseaux mobiles"
Laurent, Pierre-joseph y Lionel Simon. "Ruse". Anthropen, 2016. http://dx.doi.org/10.17184/eac.anthropen.037.
Texto completoTesis sobre el tema "Calcul en périphérie de réseaux mobiles"
Yu, Shuai. "Multi-user computation offloading in mobile edge computing". Electronic Thesis or Diss., Sorbonne université, 2018. http://www.theses.fr/2018SORUS462.
Texto completoMobile 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 [...]
Santi, Nina. "Prédiction des besoins pour la gestion de serveurs mobiles en périphérie". Electronic Thesis or Diss., Université de Lille (2022-....), 2023. http://www.theses.fr/2023ULILB050.
Texto completoMulti-access Edge computing is an emerging paradigm within the Internet of Things (IoT) that complements Cloud computing. This paradigm proposes the implementation of computing servers located close to users, reducing the pressure and costs of local network infrastructure. This proximity to users is giving rise to new use cases, such as the deployment of mobile servers mounted on drones or robots, offering a cheaper, more energy-efficient and flexible alternative to fixed infrastructures for one-off or exceptional events. However, this approach also raises new challenges for the deployment and allocation of resources in terms of time and space, which are often battery-dependent.In this thesis, we propose predictive tools and algorithms for making decisions about the allocation of fixed and mobile resources, in terms of both time and space, within dynamic environments. We provide rich and reproducible datasets that reflect the heterogeneity inherent in Internet of Things (IoT) applications, while exhibiting a high rate of contention and interference. To achieve this, we are using the FIT-IoT Lab, an open testbed dedicated to the IoT, and we are making all the code available in an open manner. In addition, we have developed a tool for generating IoT traces in an automated and reproducible way. We use these datasets to train machine learning algorithms based on regression techniques to evaluate their ability to predict the throughput of IoT applications. In a similar approach, we have also trained and analysed a neural network of the temporal transformer type to predict several Quality of Service (QoS) metrics. In order to take into account the mobility of resources, we are generating IoT traces integrating mobile access points embedded in TurtleBot robots. These traces, which incorporate mobility, are used to validate and test a federated learning framework based on parsimonious temporal transformers. Finally, we propose a decentralised algorithm for predicting human population density by region, based on the use of a particle filter. We test and validate this algorithm using the Webots simulator in the context of servers embedded in robots, and the ns-3 simulator for the network part
Al, Hanbali Ahmad. "Évaluation des performances des réseaux sans-fil mobiles". Nice, 2006. http://www.theses.fr/2006NICE4058.
Texto completoThis thesis deals with the mobility impact on the performance of mobile ad hoc network (MANET). It contains two parts. The first part surveys the TCP protocol over MANET. The main conclusion is that mobility degrades the TCP performance. Since it induces frequent route failures and extended network partitions. These implications were the motivation in the second part to introduce and evaluate new transmission schemes that rely on the mobility to improve the capacity of MANET. More precisely, in the absence of a direct route between two nodes the rest of the nodes in the network can serve as the relay nodes. In the beginning, the focus was on the performance of the relay nodes (throughput and relay buffer size) using a detailed queueing analysis. One of the main results was that random mobility models that have uniform stationary distribution of nodes location achieve the lowest throughput of relaying. Next, in order to optimize the performance of the two-hop relay protocol, especially the delivery delay of packets, we evaluated the multicopy extension under the assumption that the lifetime of the packets is limited. The performance results (delivery delay, round trip time, consumed energy) were derived using the theory of absorbing Markov chains and the fluid approximations. These results were exploited to optimize the total energy consumed subject to a constraint on the delivery delay
Mourad-Chehade, Farah. "Auto-localisation et suivi de cibles dans les réseaux de capteurs mobiles". Troyes, 2010. http://www.theses.fr/2010TROY0024.
Texto completoThis thesis addresses the problems of localization and target tracking in mobile sensor net-works. The resolution of these problems is per-formed in the interval framework, where un-certainties are represented by intervals. We first deal with the localization problem in perfect environments. We thus propose methods using connectivity measurements, with respect to anchors or non-anchor nodes. Two extended techniques are presented as well, using back-propagation or farther anchors. Other model-free approaches are then proposed. These techniques are more robust than connectivity-based ones since they perform a comparison of received signal strengths to define the observations. We then handle the localization problem in imperfect environments. We thus assume that the reliability of measurements is known. In the proposed method, the problem solution uses both the interval and the belief theories. We consider afterwards the target tracking problem in controlled mobility sensor networks. We thus present a mobility management strategy, aiming at optimizing the estimation of the position of the target. The proposed strategy relocates the sensors using a triangulation technique, followed by an ant colony optimization method
Albert, Jérémie. "Modèle de calcul, primitives, et applications de référence, pour le domaine des réseaux ad hoc fortement mobiles". Thesis, Bordeaux 1, 2010. http://www.theses.fr/2010BOR14169/document.
Texto completoMobile ad hoc networks that evolve in an unplanned and unpredictable mannerare often studied assuming that their composition and their topology evolve relatively slowly. In this context of weak mobility, it is then possible to propose mechanisms (such asrouting, Public Key Infrastructure, etc.) which make the application designed for a static context still operational. At the opposite, the work presented in this thesis focuses on highlymobile ad hoc networks (iMANets). The nodes of these networks are extremely mobile,bringing ceaseless and fast changes in the network topology. The main contributions of this thesis are (i) the definition of an algebra called CiMAN (Calculus for highly Mobile Adhoc Networks) which makes it possible to model communicating processes in these highly mobile ad hoc networks, (ii) the use of this algebra to prove the correctness of algorithms dedicated to these networks, and (iii) a middleware and reference applications specifically designed for this context
Mazouzi, Houssemeddine. "Algorithmes pour le déchargement de tâches sur serveurs de périphérie". Thesis, Paris 13, 2019. http://www.theses.fr/2019PA131076.
Texto completoComputation offloading is one of the most promising paradigm to overcome the lack of computational resources in mobile devices. Basically, it allows the execution of part orall of a mobile application in the cloud. The main objective is to reduce both execution time and energy consumption for the mobile terminals. Unfortunately, even if clouds have rich computing and storage resources, they are usually geographically far from mobile applications and may suffer from large delays, which is particularly problematic for mobile applications with small response time requirements. To reduce this long delay, one of the emerging approach is to push the cloud to the network edge. This proximity gives the opportunity to mobile users to offload their tasks to “local” cloud for processing. An Edge Cloud can be seen as small data center acting as a shadow image of larger data centers. This geographical proximity between mobile applications and edge cloud means that the access delay can be greatly reduced, but affects also higher throughput, improved responsiveness and better scalability. In this thesis, we focus on computation offloading in mobile environment (Mobile Edge Computing - MEC), composed of several edge servers. Our goal is to explore new and effective offloading strategies to improve applications performances in both execution time and energy consumption, while ensuring application requirements. Our first contribution is a new offloading strategy in the case of multiple edge servers. Thenwe extend this strategy to include the Cloud. Both strategies have been evaluated theoretically and experimentally by the implementation of an offloading middleware. Finally, we propose a new elastic approach in the case of multitasking applications characterized by a graph of dependencies between tasks
Guan, Hongyu. "Canevas de programmation pour gérer l'hétérogénéité et la consommation d'énergie des mobiles dans un environnement ubiquitaire". Thesis, Bordeaux 1, 2012. http://www.theses.fr/2012BOR14526/document.
Texto completoThe topics of heterogeneity and energy are two fundamental considerations for pervasive computing environments. Inthis thesis, we describe our approach to manage heterogeneity and to handle energy concerns via a high-level programming framework.To manage heterogeneity, we describe a methodology and a programming support that use the SIP protocol as a universal communication bus in pervasive computing environments. Ourwork enables homogeneous communications between heterogeneous distributed entities. In doing so, we integrate the SIP communication bus into our programming framework. We rely on adeclarative language named DiaSpec to describe the architecture of pervasive applications. This description is passed to a generator for producing a Java programming framework dedicated to the application area. We leverage the generated framework with SIP adaptations to raise the abstraction level of SIP operations.We then present a classification of a wide variety of entities interms of features, capabilities and network connectors. Based on this classification, a methodology and a programming supportare described for connecting entities on the SIP communication bus. This work has been validated by applications using theSIP communication bus to coordinate widely varying entities,including serial-based sensors (RS232, 1-Wire), ZigBee devices,X10 devices, PDA, native SIP entities, and software components.Regarding the energy concerns, we describe a methodology that uses two strategies, namely computation offloading and data compression, to minimize energy cost of mobile applications.In doing so, we present an execution and transfer model for atask of a mobile application and define its five different stubs forthree program execution and data transfer modes. Based on this model and our two strategies, we construct a strategy scheme to determine the most efficient stub in terms of energy consumption.We then design the OffDeci tool, using this strategy scheme, toprovide energy feedback for the developer and to analyze thebalance between local and remote computing with consideration of data compression. Our experimental study demonstrates thefeasibility of the strategy scheme of our approach. Finally, weextend DiaSpec with declarations dedicated to manage energy concerns during the application design phase. We sketched the integration of this energy-handling declaration and OffDeci intoour high-level programming framework. This integration permitsto determine the best stub of a declared DiaSpec component interms of its energy cost
Nisse, Nicolas. "Complexité algorithmique: entre structure et connaissance. Comment les jeux de poursuite peuvent apporter des solutions". Habilitation à diriger des recherches, Université Nice Sophia Antipolis, 2014. http://tel.archives-ouvertes.fr/tel-00998854.
Texto completoCapítulos de libros sobre el tema "Calcul en périphérie de réseaux mobiles"
MOVAHEDI, Zeinab. "Le déchargement intelligent des calculs dans le contexte du Mobile Cloud Computing". En Gestion et contrôle intelligents des réseaux, 153–78. ISTE Group, 2020. http://dx.doi.org/10.51926/iste.9008.ch6.
Texto completo