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306 results on '"Thierry Turletti"'

104. Passive Delay Measurement for Fidelity Monitoring of Distributed Network Emulation

Author

Walid Dabbous, Chadi Barakat, Thierry Turletti, Houssam ElBouanani, Design, Implementation and Analysis of Networking Architectures (DIANA), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), and Université Côte d'Azur (UCA)

Subjects
Emulation, Computer science, Network packet, Computer Networks and Communications, media_common.quotation_subject, Real-time computing, Testbed, Fidelity, Network emulation, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Synchronization (computer science), Scalability, Packet analyzer, media_common
Abstract

International audience; Emulation has become a popular approach for the validation and evaluation of network research. It provides researchers with a contained, customizable, and scalable testing environment, which can be easily packaged and published for potential readers to reproduce their results. However, as the network components are only virtual, emulation lacks the inherent realism of physical testbeds. In light of this, monitoring specific metrics of the emulated network has been proposed as a solution to mitigate to some degree inaccuracies caused by emulation. While this is not difficult to implement in a single-machine setting (e.g. with Mininet), monitoring is limited by the lack of time synchronization in scenarios where the emulation is distributed over multiple physical machines (e.g., Distrinet). In this paper we tackle the case of packet delay monitoring, to which we propose a methodology for passively measuring one-way delays with underlying assumptions about time synchronization, and round-trip delays otherwise. For an efficient implementation of our methodology, we propose an eBPF-based packet measurement tool that performs better than current packet sniffers under emulation-specific assumptions. We implement and evaluate our system in an open testbed and show that it can reach results within few microseconds of perfect accuracy and precision.

Published
2022
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132. D2.1: Initial description of the SLICES architecture

Author

Nikos Makris (UTH), Serge Fdida (SU), Walid Dabbous (INRIA), Thierry Turletti (INRIA), Raymond Knopp (EURECOM), and Faisal Rafiuddin (SU)

Abstract

This deliverable aims to organise the discussions regarding the reference architecture of SLICES-RI. In this document, different scenarios are analysed and presented as a baseline for the future discussions regarding the SLICES-RI’s reference architecture. Other scenarios, in addition to the above-mentioned ones, might be considered by the partners in the future.

Published
2021
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137. CloudTrace Demo: Tracing Cloud Network Delay

Author

Frédéric Giroire, Chidung Lac, Giuseppe Di Lena, Thierry Turletti, Design, Implementation and Analysis of Networking Architectures (DIANA), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Orange Labs [Lannion], France Télécom, Combinatorics, Optimization and Algorithms for Telecommunications (COATI), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-COMmunications, Réseaux, systèmes Embarqués et Distribués (Laboratoire I3S - COMRED), Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), EfdyNet, ANR-15-IDEX-0001,UCA JEDI,Idex UCA JEDI(2015), COMmunications, Réseaux, systèmes Embarqués et Distribués (Laboratoire I3S - COMRED), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), and COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Inria Sophia Antipolis - Méditerranée (CRISAM)

Subjects
Measure (data warehouse), Service (systems architecture), [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], SIMPLE (military communications protocol), Computer science, business.industry, Computation, Software as a service, Distributed computing, Network delay, Cloud computing, Tracing, business
Abstract

International audience; Many companies and organizations are moving their applications from on-premises data centers to the cloud. The cloud infrastructures can potentially provide an infinite amount of computation (e.g., Elastic Compute) and storage (e.g., Simple Service Storage). In addition, all cloud providers propose different offers: IaaS, PaaS, and SaaS. This demo focuses on the IaaS services, presenting a simple tool to measure the network delay in a virtual infrastructure built entirely in the cloud. These measurements are useful for organizations that are moving current applications to, or creating new applications in, the cloud, but have requirements on the maximum, or average, network delay that these applications can tolerate. We present CloudTrace, a simple CLI tool that creates regional and multiregional experiments to measure delay, using Amazon AWS.

Published
2021
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138. A Right Placement Makes a Happy Emulator: a Placement Module for Distributed SDN/NFV Emulation

Author

Thierry Turletti, Chidung Lac, Andrea Tomassilli, Frédéric Giroire, G. Di Lena, Damien Saucez, Design, Implementation and Analysis of Networking Architectures (DIANA), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Orange Labs [Lannion], France Télécom, Combinatorics, Optimization and Algorithms for Telecommunications (COATI), COMmunications, Réseaux, systèmes Embarqués et Distribués (Laboratoire I3S - COMRED), Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Inria Sophia Antipolis - Méditerranée (CRISAM), Inria Equipe associée EfdyNet, EfDyNet, ANR-17-EURE-0004,UCA DS4H,UCA Systèmes Numériques pour l'Homme(2017), ANR-15-IDEX-0001,UCA JEDI,Idex UCA JEDI(2015), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-COMmunications, Réseaux, systèmes Embarqués et Distribués (Laboratoire I3S - COMRED), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S), and COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Inria Sophia Antipolis - Méditerranée (CRISAM)

Subjects
010302 applied physics, Emulation, Network Functions Virtualization, Computer science, Distributed computing, Node (networking), Bandwidth (signal processing), 02 engineering and technology, Numerical models, Network emulation, 021001 nanoscience & nanotechnology, 01 natural sciences, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Resource (project management), 0103 physical sciences, 0210 nano-technology, Cluster analysis
Abstract

International audience; To handle the ever growing demand of resource intensive experiments distributed, network emulation tools such as Mininet and Maxinet have been proposed. They automatically allocate experimental resources. In this work, we show that resources are poorly allocated, leading to resource overloading and hence to dubious experimental results. This is why we propose and implement a new placement module for distributed emulation. Our algorithms take into account both link and node resources and minimize the number of physical hosts needed to carry out the emulation. Through extensive numerical evaluations, simulations, and actual experiments , we show that our placement methods outperform existing ones and allowing to re-establish trust in experimental results.

Published
2021
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139. Cross-layer Loss Discrimination Algorithms for MEC in 4G networks

Author

Thierry Turletti, Amine Ismail, Mamoutou Diarra, Walid Dabbous, Design, Implementation and Analysis of Networking Architectures (DIANA), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), EKINOPS, entreprise, and Turletti, Thierry

Subjects
radio network information service (RNIS), LDA, Computer science, computer.internet_protocol, Retransmission, Goodput, Congestion control, QUIC, Link adaptation, AMC, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], multi-access edge computing (MEC), Packet loss, CQI, RNIS, TBS, loss discrimination, [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], Wireless network, MEC, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, Network congestion, LTE, RAN, Link layer, computer, Algorithm
Abstract

International audience; Traditional loss-based Congestion Control Algorithms (CCAs) suffer from performance issues over wireless networks mostly due to their inability to distinguish wireless random losses from congestion losses. Different loss discrimination algorithms have been proposed to tackle this issue but they are not efficient for 4G networks since they do not consider the impact of various link layer mechanisms such as adaptive modulation and coding and retransmission techniques on congestion in LTE Radio Access Networks (RANs). We propose MELD (MEC-based Edge Loss Discrimination), a novel server-side loss discrimination mechanism that leverages recent advancements in Multi-access Edge Computing (MEC) services to discriminate packet losses based on real-time RAN statistics. Our approach collects the relevant radio information via MEC's Radio Network Information Service and uses it to correctly distinguish random losses from congestion losses. Our experimental study made with the QUIC transport protocol shows over 80% higher goodput when MELD is used with NewReno and 8% higher goodput when used with Cubic.

Published
2021
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140. Design of Robust Programmable Networks with Bandwidth-optimal Failure Recovery Scheme

Author

Thierry Turletti, Issam Tahiri, Ruslan Sadykov, Giuseppe Di Lena, Andrea Tomassilli, François Vanderbeck, Stéphane Pérennes, Frédéric Giroire, Damien Saucez, Chidung Lac, Combinatorics, Optimization and Algorithms for Telecommunications (COATI), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-COMmunications, Réseaux, systèmes Embarqués et Distribués (Laboratoire I3S - COMRED), Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Orange Labs [Meylan], Orange Labs, Design, Implementation and Analysis of Networking Architectures (DIANA), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Université de Bordeaux (UB), Reformulations based algorithms for Combinatorial Optimization (Realopt), Laboratoire Bordelais de Recherche en Informatique (LaBRI), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Institut de Mathématiques de Bordeaux (IMB), Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Inria Bordeaux - Sud-Ouest, EfDyNet, ANR-15-IDEX-0001,UCA JEDI,Idex UCA JEDI(2015), ANR-17-EURE-0004,UCA DS4H,UCA Systèmes Numériques pour l'Homme(2017), COMmunications, Réseaux, systèmes Embarqués et Distribués (Laboratoire I3S - COMRED), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Inria Sophia Antipolis - Méditerranée (CRISAM), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS), Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)-Institut de Mathématiques de Bordeaux (IMB), and Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1 (UB)-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1 (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Inria Bordeaux - Sud-Ouest

Subjects
Computer Networks and Communications, computer.internet_protocol, Computer science, Distributed computing, 020206 networking & telecommunications, Context (language use), 02 engineering and technology, Network topology, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Internet protocol suite, Scalability, 0202 electrical engineering, electronic engineering, information engineering, Bandwidth (computing), 020201 artificial intelligence & image processing, Column generation, Software-defined networking, computer, Dimensioning, ComputingMilieux_MISCELLANEOUS
Abstract

International audience; More than ever, data networks have demonstrated their central role in the world economy, but also in the well-being of humanity that needs fast and reliable networks. In parallel, with the emergence of Network Function Virtualization (NFV) and Software Defined Networking (SDN), efficient network algorithms considered too hard to be put in practice in the past now have a second chance to be considered again. In this context, as new networks will be deployed and current ones get significant upgrades, it is thus time to rethink the network dimensioning problem with protection against failures. In this paper, we consider a path-based protection scheme with the global rerouting strategy in which, for each failure situation, there may be a new routing of all the demands. Our optimization task is to minimize the needed amount of bandwidth. After discussing the hardness of the problem, we develop two scalable mathematical models that we handle using both Column Generation and Benders Decomposition techniques. Through extensive simulations on real-world IP network topologies and on randomly generated instances, we show the effectiveness of our methods: they lead to savings of 40 to 48% of the bandwidth to be installed in a network to protect against failures compared to traditional schemes. Finally, our implementation in OpenDaylight demonstrates the feasibility of the approach. Its evaluation with Mininet shows that our solution provides sub-second recovery times, but the way it is implemented may greatly impact the amount of signaling traffic exchanged. In our evaluations, the recovery phase requires only a few tens of milliseconds for the fastest implementation, compared to a few hundreds of milliseconds for the slowest one.

Published
2021
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148. Dynamic Controller Assignment in Software Defined Internet of Vehicles through Multi-Agent Deep Reinforcement Learning

Author

Chadi Barakat, Tingting Yuan, Wilson Borba da Rocha Neto, Katia Obraczka, Christian Esteve Rothenberg, Thierry Turletti, Design, Implementation and Analysis of Networking Architectures (DIANA), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Institute of Computing [Campinas] (UNICAMP), Universidade Estadual de Campinas (UNICAMP), Jack Baskin School of Engineering (UCSC), University of California [Santa Cruz] (UCSC), University of California-University of California, This work was partly funded by Inria, supported by the French ANR 'Investments for the Future' Program reference #ANR-11-LABX-0031-01, and UNICAMP, through the FAPESP Grant number #2017/50361-0, both in the context of the DrIVE #EQA-041801 associated team., ANR-11-LABX-0031,UCN@SOPHIA,Réseau orienté utilisateur(2011), Institute of Computing [Campinas] (IC), Universidade Estadual de Campinas = University of Campinas (UNICAMP), University of California [Santa Cruz] (UC Santa Cruz), and University of California (UC)-University of California (UC)

Subjects
Computer Networks and Communications, business.industry, Computer science, multi-agent deep reinforcement learning, Distributed computing, Control (management), 020206 networking & telecommunications, 02 engineering and technology, Software Defined Networking (SDN), [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Software, Control theory, Packet loss, controller assignment, Internet of Vehicles (IoV), 0202 electrical engineering, electronic engineering, information engineering, Forwarding plane, Reinforcement learning, The Internet, Electrical and Electronic Engineering, business, Assignment problem
Abstract

International audience; In this paper, we introduce a novel dynamic controller assignment algorithm targeting connected vehicle services and applications, also known as Internet of Vehicles (IoV). The proposed approach considers a hierarchically distributed control plane, decoupled from the data plane, and uses vehicle location and control traffic load to perform controller assignment dynamically. We model the dynamic controller assignment problem as a multi-agent Markov game and solve it with cooperative multi-agent deep reinforcement learning. Simulation results using real-world vehicle mobility traces show that the proposed approach outperforms existing ones by reducing control delay as well as packet loss. Index Terms-Internet of Vehicles (IoV), Software Defined Networking (SDN), multi-agent deep reinforcement learning, controller assignment.

Published
2021
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