{"id":518,"date":"2015-05-06T16:58:00","date_gmt":"2015-05-06T14:58:00","guid":{"rendered":"https:\/\/samovar2022.int-evry.fr\/index.php\/2015\/05\/06\/seminaire-digicosme-reseaux\/"},"modified":"2020-09-04T18:46:35","modified_gmt":"2020-09-04T16:46:35","slug":"seminaire-digicosme-reseaux","status":"publish","type":"post","link":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/2015\/05\/06\/seminaire-digicosme-reseaux\/","title":{"rendered":"S\u00e9minaire DIGICOSME R\u00e9seaux"},"content":{"rendered":"

VENDREDI 29 MAI 2015 APRES-MIDI<\/strong><\/p>\n

Session du Groupe de Travail DigiCosme<\/p>\n

\u00ab\u00a0Performances, QoS et gestion de ressources des r\u00e9seaux sans fil dynamiques\u00a0\u00bb<\/p>\n

Lieu : Amphi 34, b\u00e2timent 862 \u2013 NanoInnov<\/a><\/p>\n

Avenue de la Vauve<\/p>\n

91120 PALAISEAU<\/p>\n

(GPS : N. 48\u00b042,7575′, E. 02\u00b011,5228′)<\/p>\n

Entr\u00e9e libre<\/strong><\/p>\n

14h00-15h00:<\/strong> Jim Roberts, IRT-SystemX \u2013 Titre : Multi-Resource Fairness: Objectives, Algorithms and Performance<\/p>\n

Designing efficient and fair algorithms for sharing multiple resources between heterogeneous demands is becoming increasingly important. Applications include compute clusters shared by multi-task jobs and routers equipped with middleboxes shared by flows of different types. We show that the currently preferred objective of Dominant Resource Fairness (DRF) has a significantly less favorable efficiency-fairness tradeoff than alternatives like Proportional Fairness and our proposal, Bottleneck Max Fairness. We propose practical algorithms to realize these sharing objectives and evaluate their performance under a stochastic demand model. It is shown, in particular, that the strategyproofness property that motivated the choice of DRF for an assumed fixed set of jobs or flows, is largely irrelevant when demand is dynamic.<\/p>\n

15h00-16h00 :<\/strong> Aline Carneiro Viana, INRIA – Titre: Mobile Data Traffic Modeling: Revealing Temporal Facets<\/p>\n

Todays\u2019 smart handheld devices allow heterogeneous free data gathering of human surrounding environment and networking usage patterns anytime and anywhere. Hence, an unprecedentedly large amount of human sensory data (i.e., the Big Data era) can be collected and processed: opening ways to connect people, technology, and business. This big data implies advanced knowledge of humans\u2019 behaviour and interactions at a planetary scale and can help tackle networking challenges when used correctly. In this presentation, I will briefly talk about my most recent works where I leverage behavior of networking users (in terms of interactions, mobility, or content generation) to improve the performance of networking solutions designed for data offloading or dissemination.<\/p>\n

I will then provide more details about our work on user content behavior modeling: Measurement-driven modeling of mobile data traffic usage of smartphone subscribers, which was based on the use of a large-scale dataset collected from a major 3G network in a big metropolitan area. Our main outcome is a synthetic measurement based mobile data traffic generator, capable of imitating traffic-related activity patterns of different categories of subscribers and time periods of a routinary normal day in their lives. Broadly, our observations bring important insights into network resource usage.<\/p>\n

Prochain s\u00e9minaire: vendredi 19 juin apr\u00e8s-midi (orateurs: Marco Fiore, Alexandre Mouradian, Michel Marot)formation in a smart grid environment<\/h2>\n

Nous \u00e9tudions la formation, dans le smart grid, de coalitions de prosumers cherchant \u00e0 vendre de l\u2019\u00e9nergie sur le march\u00e9. Il est primordial pour l\u2019op\u00e9rateur du r\u00e9seau \u00e9lectrique que les producteurs d\u2019\u00e9nergie soient \u00e0 m\u00eame de soutenir la demande du r\u00e9seau \u00e0 la fois en termes de stabilit\u00e9 et de production minimale. Nous avons ainsi construit un algorithme cherchant \u00e0 former des coalitions r\u00e9pondant \u00e0 ces deux pr\u00e9-requis : un niveau minimum d\u2019\u00e9nergie produite et une production stable dans le temps. Ceci nous am\u00e8ne \u00e0 rechercher des sources d\u2019\u00e9nergie non corr\u00e9l\u00e9es pour former les coalitions. Nous proposons donc un algorithme qui utilise des outils de la th\u00e9orie des graphes comme les graphes de corr\u00e9lation ou la percolation de cliques afin de former des coalitions r\u00e9pondant \u00e0 ces contraintes complexes. Nous validons l\u2019algorithme en le comparant avec un processus de regroupement al\u00e9atoire et nous montrons que notre algorithme se r\u00e9v\u00e8le plus performant non seulement en termes d\u2019utilit\u00e9 globale, mais aussi en termes de robustesse face \u00e0 des variations de production non pr\u00e9vues, dues par exemple \u00e0 des changements de conditions climatiques.<\/p>\n

15h00-16h00 : Daphn\u00e9 Tuncer, University College London – Titre: Network Resource Management and Control in Software Defined Networks<\/h2>\n

The Software-Defined Networking (SDN) paradigm has emerged as a promising solution to reduce the complexity of network management tasks through the creation of a unified control plane independent of specific vendor equipment. However, designing a SDN-based solution for network resource management raises several challenges as it should exhibit flexibility, scalability and adaptability. In this talk, we will present a new SDN-based management and control framework for fixed backbone networks, which provides support for both static and dynamic resource management applications. The proposed framework follows a hierarchical architecture and relies on a distributed layer to implement management and control functionality. We will present an approach to determine the allocation of managers and controllers in this layer, which relies on a set of input parameters. These can be tuned to take into account the requirements of both the network infrastructure and the management applications to implement. We will discuss the influence of these parameters on the configuration of the resulting management and control planes based on real network topologies and show how these can provide guidelines regarding the settings of the proposed placement algorithm.<\/p>\n

Prochains s\u00e9minaires:<\/strong><\/p>\n

Vendredi 19 Juin apr\u00e8s-midi:<\/h2>\n

Orateurs: Marco Fiore – INRIA, Alexandre Mouradian – Universit\u00e9 Paris Sud, Michel Marot – Institut Mines-T\u00e9l\u00e9com<\/p>\n","protected":false},"excerpt":{"rendered":"

VENDREDI 29 MAI 2015 APRES-MIDI Session du Groupe de Travail DigiCosme \u00ab\u00a0Performances, QoS et gestion de ressources des r\u00e9seaux sans fil dynamiques\u00a0\u00bb Lieu : Amphi 34, b\u00e2timent 862 \u2013 NanoInnov Avenue de la Vauve 91120 PALAISEAU (GPS : N. 48\u00b042,7575′, E. 02\u00b011,5228′) Entr\u00e9e libre 14h00-15h00: Jim Roberts, IRT-SystemX \u2013 Titre : Multi-Resource Fairness: Objectives, Algorithms 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