A Formal Framework for End-to-End DNS Resolution
Un cadre formel pour la résolution DNS de bout en bout
Si Liu, Huayi Duan, Lukas Heimes, Marco Bearzi, Jodok Vieli, Adrian Perrig, and David Basin (ETH Zurich)
A Framework for Improving Web Affordability and Inclusiveness
Un cadre pour améliorer l'accessibilité financière et l'inclusivité du web
Rumaisa Habib, Sarah Tanveer, Aimen Inam, Haseeb Ahmed, Ayesha Ali, Zartash Afzal Uzmi, Zafar Ayyub Qazi, and Ihsan Ayyub Qazi (LUMS)
A Millimeter Wave Backscatter Network for Two-Way Communication and Localization
Un réseau backscatter millimétrique pour communication bidirectionnelle et localisation
Haofan Lu, Mohammad Hossein Mazaheri, Reza Rezvani, and Omid Abari (UCLA)
Achelous: Enabling Programmability, Elasticity, and Reliability in Hyperscale Cloud Networks (Experience Paper)
Achelous : programmabilité, élasticité et fiabilité dans les réseaux cloud hyperscale (experience paper)
Chengkun Wei, Xing Li, Ye Yang, Xiaochong Jiang, and Tianyu Xu (Zhejiang University and Alibaba Group); Bowen Yang, Taotao Wu, Chao Xu, Yilong Lv, Haifeng Gao, Zhentao Zhang, and Zikang Chen (Alibaba Group); Zeke Wang and Zihui Zhang (Zhejiang University); Shunmin Zhu (Alibaba Group); Wenzhi Chen (Zhejiang University)
AdaInf: Data Drift Adaptive Scheduling for Accurate and SLO-guaranteed Multiple-Model Inference Serving at Edge Servers
AdaInf : ordonnancement adaptatif au data drift, inférence multi-modèles précise et garantie SLO sur serveurs edge
Sudipta Saha Shubha and Haiying Shen (University of Virginia)
Augmented Queue: A Scalable In-Network Abstraction for Data Center Network Sharing
Augmented Queue : une abstraction in-network scalable pour le partage de réseau de datacenter
Xinyu Crystal Wu, Zhuang Wang, Weitao Wang, and T. S. Eugene Ng (Rice University)
Beyond a Centralized Verifier: Scaling Data Plane Checking via Distributed, On-Device Verification
Au-delà d'un vérificateur centralisé : scaler la vérif data plane par une vérification distribuée on-device
Qiao Xiang, Chenyang Huang, Ridi Wen, Yuxin Wang, and Xiwen Fan (Xiamen University); Zaoxing Liu (Boston University); Linghe Kong (Shanghai Jiao Tong University); Dennis Duan (Yale University); Franck Le (IBM Research); Wei Sun (University of Texas at Austin)
Beyond Limits: How to Disable Validators in Secure Networks
Beyond Limits : comment désactiver les validateurs dans les réseaux sécurisés
Tomas Hlavacek and Philipp Jeitner (Fraunhofer SIT); Donika Mirdita (Fraunhofer SIT, TU Darmstadt); Haya Shulman (Goethe-University Frankfurt and Fraunhofer SIT); Michael Waidner (Fraunhofer SIT and TU Darmstadt)
BitSense: Universal and Nearly Zero-Error Optimization for Sketch Counters with Compressive Sensing
BitSense : optimisation universelle et quasi sans erreur des compteurs sketch par compressive sensing
Rui Ding, Shibo Yang, Xiang Chen, and Qun Huang (Peking University)
BMW Tree: Large-scale, High-throughput and Modular PIFO Implementation using Balanced Multi-Way Sorting Tree
BMW Tree : PIFO large-échelle, haut débit et modulaire via un arbre de tri multi-voies équilibré
Ruyi Yao, Zhiyu Zhang, and Gaojian Fang (Fudan University); Peixuan Gao (New York University); Sen Liu (Fudan University); Yibo Fan (State Key Laboratory of ASIC and System, Fudan University); Yang Xu (Fudan University, Peng Cheng Laboratory); H. Jonathan Chao (New York University)
CellFusion: Multipath Vehicle-to-Cloud Video Streaming with Network Coding in the Wild
CellFusion : streaming vidéo véhicule-cloud multipath avec network coding, en conditions réelles
Yunzhe Ni (Alibaba Cloud & Peking Univ.); Zhilong Zheng, Xianshang Lin, Fengyu Gao, Xuan Zeng, Yirui Liu, Tao Xu, Hua Wang, Zhidong Zhang, Senlang Du, Guang Yang, Yuanchao Su, and Dennis Cai (Alibaba Cloud); Hongqiang Harry Liu (Uber Technology); Chenren Xu (Peking Univ.); Ennan Zhai and Yunfei Ma (Alibaba Cloud)
ChameleMon: Shifting Measurement Attention as Network State Changes
ChameleMon : déplacer l'attention de mesure quand l'état du réseau change
Kaicheng Yang, Yuhan Wu, Ruijie Miao, Tong Yang, Zirui Liu, Zicang Xu, Rui Qiu, Yikai Zhao, and Hanglong Lv (Peking University); Zhigang Ji (Huawei Technologies Co., Ltd.); Gaogang Xie (CNIC CAS; UCAS, China)
ClickINC: In-network Computing as a Service in Heterogeneous Programmable Data-center Networks
ClickINC : le calcul in-network as a service dans des réseaux de datacenter programmables hétérogènes
Wenquan Xu, Zijian Zhang, and Yong Feng (Tsinghua University); Haoyu Song (Futurewei Technologies); Zhikang Chen (Tsinghua University); Wenfei Wu (Peking University); Guyue Liu (New York University Shanghai); Yinchao Zhang, Shuxin Liu, Zerui Tian, and Bin Liu (Tsinghua University)
Computers Can Learn from the Heuristic Designs and Master Internet Congestion Control
Les ordinateurs peuvent apprendre des designs heuristiques et maîtriser le contrôle de congestion Internet
Chen-Yu Yen (New York University); Soheil Abbasloo (University of Toronto); H. Jonathan Chao (New York University)
Converge: QoE-driven Multipath Video Conferencing over WebRTC
Converge : visioconférence multipath pilotée par la QoE sur WebRTC
Sandesh Dhawaskar Sathyanarayana (University of Colorado Boulder); Kyunghan Lee (Seoul National University); Dirk Grunwald and Sangtae Ha (University of Colorado Boulder)
Cowbird: Freeing CPUs to Compute by Offloading the Disaggregation of Memory
Cowbird : libérer les CPU pour calculer en déportant la désagrégation mémoire
Xinyi Chen, Liangcheng Yu, and Vincent Liu (University of Pennsylvania); Qizhen Zhang (University of Toronto and Microsoft)
Darwin: Flexible Learning-based CDN Caching
Darwin : cache CDN flexible fondé sur l'apprentissage
Jiayi Chen, Nihal Sharma, and Tarannum Khan (The University of Texas at Austin); Shu Liu (UC Berkeley); Brian Chang, Aditya Akella, and Sanjay Shakkottai (The University of Texas at Austin); Ramesh K. Sitaraman (UMass Amherst & Akamai Tech)
DBO: Fairness for Cloud-Hosted Financial Exchanges
DBO : équité pour les bourses financières hébergées dans le cloud
Eashan Gupta (Microsoft, UIUC); Prateesh Goyal and Ilias Marinos (Microsoft); Chenxingyu Zhao (Microsoft, University of Washington); Radhika Mittal (UIUC); Ranveer Chandra (Microsoft)
Decoding the Divide: Analyzing Disparities in Broadband Plans Offered by Major US ISPs
Décoder le fossé : analyser les écarts des offres broadband des grands FAI américains
Udit Paul, Vinothini Gunasekaran, and Jiamo Liu (University of California Santa Barbara); Tejas N. Narechania (University of California Berkeley); Arpit Gupta (University of California Santa Barbara); Elizabeth Belding (University of California, Santa Barbara)
Destination Unreachable: Characterizing Internet Outages and Shutdowns
Destination Unreachable : caractériser les pannes et coupures d'Internet
Zachary S. Bischof (Georgia Tech); Kennedy Pitcher (UC San Diego); Esteban Carisimo (Northwestern University); Amanda Meng (Georgia Tech); Rafael Bezerra Nunes (Yale University); Ramakrishna Padmanabhan (Amazon); Margaret E. Roberts (University of California at San Diego); Alex C. Snoeren (UC San Diego); Alberto Dainotti (Georgia Tech)
Direct Telemetry Access
Accès direct à la télémétrie
Jonatan Langlet (Queen Mary University of London); Ran Ben Basat (University College London); Gabriele Oliaro (Carnegie Mellon University); Michael Mitzenmacher and Minlan Yu (Harvard University); Gianni Antichi (Politecnico di Milano)
Ditto: Efficient Serverless Analytics with Elastic Parallelism
Ditto : analytics serverless efficaces avec parallélisme élastique
Chao Jin, Zili Zhang, Xingyu Xiang, Songyun Zou, Gang Huang, Xuanzhe Liu, and Xin Jin (Peking University)
DONS: Fast and Affordable Discrete Event Network Simulation with Automatic Parallelization
DONS : simulation réseau à événements discrets rapide et abordable, avec parallélisation auto
Kaihui Gao (Tsinghua University); Li Chen (Zhongguancun Laboratory); Dan Li (Tsinghua University); Vincent Liu (University of Pennsylvania); Xizheng Wang (Tsinghua University); Ran Zhang (Zhongguancun Laboratory); Lu Lu (China Mobile Research Institute)
Dragonfly: Higher Perceptual Quality For Continuous 360° Video Playback
Dragonfly : meilleure qualité perceptuelle pour la lecture vidéo 360° continue
Ehab Ghabashneh and Chandan Bothra (Purdue University); Ramesh Govindan and Antonio Ortega (University of Southern California); Sanjay Rao (Purdue University)
EBB: Reliable and Evolvable Express Backbone Network in Meta (Experience Paper)
EBB : backbone express fiable et évolutif chez Meta (experience paper)
Marek Denis, Yuanjun Yao, Ashley Hatch, Qin Zhang, Chiun Lin Lim, Shuqiang Zhang, Kyle Sugrue, Henry Kwok, Mikel Jimenez Fernandez, Petr Lapukhov, Sandeep Hebbani, Gaya Nagarajan, and Omar Baldonado (Meta); Lixin Gao (UMass Amherst/Meta); Ying Zhang (Meta)
Ekho: Synchronizing cloud gaming media across multiple endpoints
Ekho : synchroniser les médias du cloud gaming entre plusieurs endpoints
Pouya Hamadanian (MIT); Doug Gallatin (Microsoft); Mohammad Alizadeh (MIT); Krishna Chintalapudi (Microsoft Research)
Enabling Long-Range Underwater Backscatter via Van Atta Acoustic Networks
Backscatter sous-marin longue portée via des réseaux acoustiques Van Atta
Aline Eid (Massachusetts Institute of Technology / University of Michigan); Jack Rademacher, Waleed Akbar, Purui Wang, Ahmed Allam, and Fadel Adib (Massachusetts Institute of Technology)
Enabling Ubiquitous WiFi Sensing with Beamforming Reports
Rendre le WiFi sensing ubiquitaire avec les beamforming reports
Chenhao Wu and Xuan Huang (The Chinese University of Hong Kong); Jun Huang (City University of Hong Kong); Guoliang Xing (The Chinese University of Hong Kong)
Exoshuffle: An Extensible Shuffle Architecture
Exoshuffle : une architecture de shuffle extensible
Frank Sifei Luan, Stephanie Wang, Samyukta Yagati, Sean Kim, Kenneth Lien, Isaac Ong, and Tony Hong (UC Berkeley); SangBin Cho and Eric Liang (Anyscale); Ion Stoica (UC Berkeley)
Fathom: Understanding Datacenter Application Network Performance (Experience Paper)
Fathom : comprendre la perf réseau des applis datacenter (experience paper)
Mubashir Adnan Qureshi, Junhua Yan, Yuchung Cheng, Soheil Hassas Yeganeh, Yousuk Seung, Neal Cardwell, Willem de Bruijn, and Van Jacobson (Google); Jasleen Kaur (University of North Carolina at Chapel Hill); David Wetherall and Amin Vahdat (Google)
FlexWAN: Software Hardware Co-design for Flexible and Cost-Effective Optical Backbones (Experience Paper)
FlexWAN : co-design soft/hard pour des backbones optiques flexibles et économiques (experience paper)
Congcong Miao (Tencent); Zhizhen Zhong (Massachusetts Institute of Technology); Ying Zhang (Meta); Kunling He, Fangchao Li, Minggang Chen, Yiren Zhao, Xiang Li, Zekun He, and Xianneng Zou (Tencent); Jilong Wang (Tsinghua University)
GGFAST: Automating Generation of Flexible Network Traffic Classifiers
GGFAST : générer automatiquement des classifieurs de trafic réseau flexibles
Julien Piet (Corelight and University of California Berkeley); Anthony Kasza and Dubem Nwoji (Corelight); Vern Paxson (Corelight and University of California Berkeley)
Global, Passive Detection of Connection Tampering
Détection passive et globale du tampering de connexions
Ram Sundara Raman (University of Michigan, Cloudflare Inc.); Louis-Henri Merino (EPFL); Kevin Bock (University of Maryland); Marwan Fayed (Cloudflare Inc.); Dave Levin (University of Maryland); Nick Sullivan and Luke Valenta (Cloudflare Inc.)
Hose-based cross-layer backbone network design with Benders decomposition (Experience Paper)
Design de backbone cross-layer hose-based avec décomposition de Benders (experience paper)
John P. Eason, Xueqi He, Richard Cziva, Max Noormohammadpour, Srivatsan Balasubramanian, Satyajeet Singh Ahuja, and Biao Lu (Meta Platforms, Inc)
Host Congestion Control
Contrôle de congestion hôte
Saksham Agarwal (Cornell University); Arvind Krishnamurthy (Google/University of Washington); Rachit Agarwal (Cornell University)
Hydra: Effective Runtime Network Verification
Hydra : vérification réseau runtime efficace
Improving Network Availability with Protective ReRoute (Experience Paper)
Améliorer la dispo réseau avec Protective ReRoute (experience paper)
David Wetherall (Google); Abdul Kabbani (Microsoft); Van Jacobson, Jim Winget, Yuchung Cheng, Brad Morrey, Uma Moravapalle, Phillipa Gill, Steven Knight, and Amin Vahdat (Google)
IPv6 Hitlists at Scale: Be Careful What You Wish For
Hitlists IPv6 à l'échelle : attention à ce que tu souhaites
Erik Rye and Dave Levin (University of Maryland)
Janus: A Unified Distributed Training Framework for Sparse Mixture-of-Experts Models
Janus : un cadre unifié d'entraînement distribué pour modèles sparse Mixture-of-Experts
Juncai Liu and Jessie Hui Wang (Institute for Network Sciences and Cyberspace, Tsinghua University); Yimin Jiang (bytedance)
Klotski: Efficient and Safe Network Migration of Large Production Datacenters (Experience Paper)
Klotski : migration réseau efficace et sûre de gros datacenters de prod (experience paper)
Yihao Zhao (Peking University); Xiaoxiang Zhang (Meta); Hang Zhu (Johns Hopkins University); Ying Zhang and Zhaodong Wang (Meta); Yuandong Tian (Meta AI); Alex Nikulkov and Joao Ferreira (Meta); Xuanzhe Liu and Xin Jin (Peking University)
LEED: A Low-Power, Fast Persistent Key-Value Store on SmartNIC JBOFs
LEED : store clé-valeur persistant, basse conso et rapide, sur SmartNIC JBOF
Zerui Guo (University of Wisconsin-Madison); Hua Zhang (University of Wisconsin-Madison/Beihang University); Chenxingyu Zhao (University of Washington); Yuebin Bai (Beihang University); Michael Swift and Ming Liu (University of Wisconsin-Madison)
Lessons from the evolution of the Batfish configuration analysis tool (Experience Paper)
Leçons de l'évolution de l'outil d'analyse de config Batfish (experience paper)
Matt Brown, Ari Fogel, Dan Halperin, and Victor Heorhiadi (Intentionet); Ratul Mahajan (Intentionet, University of Washington); Todd Millstein (Intentionet, UCLA)
Lightning: A Reconfigurable Photonic-Electronic SmartNIC for Fast and Energy-Efficient Inference
Lightning : SmartNIC photonique-électronique reconfigurable pour une inférence rapide et économe
Zhizhen Zhong, Mingran Yang, Christian Williams, Alexander Sludds, Homa Esfahanizadeh, Dirk Englund, and Manya Ghobadi (Massachusetts Institute of Technology)
Lightwave Fabrics: At-Scale Optical Circuit Switching for Datacenter and Machine Learning Systems (Experience Paper)
Lightwave Fabrics : commutation de circuits optiques à l'échelle pour datacenters et systèmes ML (experience paper)
Hong Liu, Ryohei Urata, Kevin Yasumura, Xiang Zhou, Roy Bannon, Jill Berger, Pedram Dashti, Norm Jouppi, Cedric Lam, Sheng Li, Erji Mao, and Daniel Nelson (Google); George Papen (Google/UC San Diego); Mukarram Tariq and Amin Vahdat (Google)
Lightyear: Using Modularity to Scale BGP Control Plane Verification
Lightyear : scaler la vérif du plan de contrôle BGP par la modularité
Alan Tang (University of California, Los Angeles); Ryan Beckett (Microsoft Research); Steven Benaloh, Karthick Jayaraman, and Tejas Patil (Microsoft); Todd Millstein and George Varghese (UCLA)
Masking Corruption Packet Losses in Datacenter Networks with Link-local Retransmission
Masquer les pertes par corruption dans les réseaux datacenter par retransmission link-local
Raj Joshi (National University of Singapore); Cha Hwan Song (School of Computing, National university of Singapore); Xin Zhe Khooi (National University of Singapore); Nishant Budhdev (Nokia Bell Labs); Ayush Mishra (National Univeristy of Singapore); Mun Choon Chan (School of Computing, National University of Singapore); Ben Leong (National University of Singapore)
Memory Management in ActiveRMT: Towards Runtime-programmable Switches
Gestion mémoire dans ActiveRMT : vers des switches programmables au runtime
Rajdeep Das and Alex C. Snoeren (UC San Diego)
Murphy: Performance Diagnosis of Distributed Cloud Applications
Murphy : diagnostic de performance d'applis cloud distribuées
Vipul Harsh (University of Illinois Urbana-Champaign); Wenxuan Zhou (VMware); Sachin Ashok (University of Illinois Urbana - Champaign); Radhika Niranjan Mysore (VMWare Research); Brighten Godfrey (UIUC and VMware); Sujata Banerjee (VMware)
NeoBFT: Accelerating Byzantine Fault Tolerance Using Authenticated In-Network Ordering
NeoBFT : accélérer la tolérance byzantine avec un ordonnancement in-network authentifié
Guangda Sun, Mingliang Jiang, Xin Zhe Khooi, Yunfan Li, and Jialin Li (National University of Singapore)
NetClone: Fast, Scalable, and Dynamic Request Cloning for Microsecond-Scale RPCs
NetClone : clonage de requêtes rapide, scalable et dynamique pour RPC à l'échelle microseconde
Gyuyeong Kim (Sungshin Women's University)
Network Load Balancing with In-network Reordering Support for RDMA
Équilibrage de charge réseau avec support de réordonnancement in-network pour RDMA
Network-Centric Distributed Tracing with DeepFlow: Troubleshooting Your Microservices in Zero Code
Tracing distribué network-centric avec DeepFlow : dépanner tes microservices en zéro code
Junxian Shen and Han Zhang (Tsinghua University); Yang Xiang (Yunshan Networks); Xingang Shi, Xinrui Li, Yunxi Shen, Zijian Zhang, Yongxiang Wu, and Xia Yin (Tsinghua University); Jilong Wang (Tsinghua university); Mingwei Xu (Tsinghua University); Yahui Li (Tsinghua University,China); Jiping Yin, Jianchang Song, Zhuofeng Li, and Runjie Nie (Yunshan Networks)
OmniWindow: A General and Efficient Window Mechanism Framework for Network Telemetry
OmniWindow : un cadre général et efficace de mécanisme de fenêtre pour la télémétrie réseau
Haifeng Sun, Jiaheng Li, Jintao He, Jie Gui, and Qun Huang (Peking University)
P4LRU: Towards An LRU Cache Entirely in Programmable Data Plane
P4LRU : vers un cache LRU entièrement dans le data plane programmable
P4Testgen: An Extensible Test Oracle For P4-16
P4Testgen : un test oracle extensible pour P4-16
Fabian Ruffy (New York University); Jed Liu (Akita Software); Prathima Kotikalapudi, Vojtech Havel, Hanneli Tavante, and Rob Sherwood (Intel); Vladyslav Dubina and Volodymyr Peschanenko (Litsoft); Anirudh Sivaraman (New York University); Nate Foster (Cornell University)
PacketGame: Multi-Stream Packet Gating for Concurrent Video Inference at Scale
PacketGame : gating de paquets multi-flux pour l'inférence vidéo concurrente à l'échelle
Mu Yuan, Lan Zhang, Xuanke You, and Xiang-Yang Li (University of Science and Technology of China)
PAINTER: Ingress Traffic Engineering and Routing for Enterprise Cloud Networks
PAINTER : ingénierie de trafic ingress et routage pour réseaux cloud d'entreprise
Thomas Koch and Shuyue Yu (Columbia University); Sharad Agarwal (Microsoft); Ethan Katz-Bassett (Columbia University); Ryan Beckett (Microsoft Research)
Regional IP Anycast: Deployments, Performance, and Potentials
IP Anycast régional : déploiements, perf, potentiels
Minyuan Zhou (Nanjing University); Xiao Zhang (Duke University); Shuai Hao (Old Dominion University); Xiaowei Yang (Duke); Jiaqi Zheng, Guihai Chen, and Wanchun Dou (Nanjing University)
Resilient Baseband Processing in Virtualized RANs with Slingshot
Traitement bande de base résilient dans les RAN virtualisés avec Slingshot
Nikita Lazarev (MIT); Tao Ji (The University of Texas at Austin); Anuj Kalia (Microsoft); Daehyeok Kim (The University of Texas at Austin and Microsoft); Ilias Marinos and Francis Y. Yan (Microsoft); Christina Delimitrou (MIT); Zhiru Zhang (Cornell University); Aditya Akella (The University of Texas at Austin)
Sammy: smoothing video traffic to be a friendly internet neighbor
Sammy : lisser le trafic vidéo pour être un voisin Internet amical
Bruce Spang (Stanford University); Shravya Kunamalla, Renata Teixeira, Te-Yuan Huang, and Grenville Armitage (Netflix); Ramesh Johari and Nick McKeown (Stanford University)
Switchboard: Efficient Resource Management for Conferencing Services
Switchboard : gestion efficace des ressources pour services de conférence
Rahul Bothra, Rohan Gandhi, Ranjita Bhagwan, and Venkata N. Padmanabhan (Microsoft Research India); Rui Liang and Steve Carlson (Microsoft); Vinayaka Kamath and Sreangsu Acharyya (Microsoft Research India); Ken Sueda and Somesh Chaturmohta (Microsoft); Harsha Sharma (MIT)
Taming the transient while reconfiguring BGP
Apprivoiser le transitoire pendant la reconfiguration BGP
Tibor Schneider and Roland Schmid (ETH Zürich); Stefano Vissicchio (University College London); Laurent Vanbever (ETH Zürich)
Teal: Learning-Accelerated Optimization of WAN Traffic Engineering
Teal : optimisation accélérée par l'apprentissage du traffic engineering WAN
Zhiying Xu (Harvard University); Francis Y. Yan (Microsoft Research); Rachee Singh (Microsoft and Cornell University); Justin T. Chiu and Alexander M. Rush (Cornell University); Minlan Yu (Harvard University)
TENSOR: Lightweight BGP Non-Stop Routing (Experience Paper)
TENSOR : routage BGP non-stop léger (experience paper)
Congcong Miao (Tencent); Yunming Xiao (Northwestern University); Marco Canini (KAUST); Ruiqiang Dai and Shengli Zheng (Tencent); Jilong Wang (Tsinghua University); Jiwu Bu (Tencent); Aleksandar Kuzmanovic (Northwestern University); Yachen Wang (Tencent)
Towards Practical and Scalable Molecular Networks
Vers des réseaux moléculaires pratiques et scalables
Jiaming Wang (UIUC); Sevda Öğüt and Haitham Al Hassanieh (EPFL); Bhuvana Krishnaswamy (University of Wisconsin-Madison)
Understanding the Micro-Behaviors of Hardware Offloaded Network Stacks with Lumina
Comprendre les micro-comportements des stacks réseau offloadés hardware avec Lumina
Zhuolong Yu (Johns Hopkins University); Bowen Su (Peking University); Wei Bai and Shachar Raindel (Microsoft); Vladimir Braverman (Rice University); Xin Jin (Peking University)
Underwater 3D positioning on smart devices
Positionnement 3D sous-marin sur appareils intelligents
Tuochao Chen, Justin Chan, and Shyamnath Gollakota (University of Washington)
Unleashing SmartNIC Packet Processing Performance in P4
Libérer la perf de traitement de paquets SmartNIC en P4
Jiarong Xing and Yiming Qiu (Rice University); Kuo-Feng Hsu (Meta); Songyuan Sui (Rice University); Khalid Manaa, Omer Shabtai, Yonatan Piasetzky, and Matty Kadosh (NVIDIA); Arvind Krishnamurthy (University of Washington); T. S. Eugene Ng and Ang Chen (Rice University)
Veritas: Answering Causal Queries from Video Streaming Traces
Veritas : répondre à des requêtes causales depuis des traces de streaming vidéo
Chandan Bothra, Jianfei Gao, Sanjay Rao, and Bruno Ribeiro (Purdue University)
XRON: A Hybrid Elastic Cloud Overlay Network for Video Conferencing at Planetary Scale
XRON : overlay cloud hybride élastique pour la visio à l'échelle planétaire
Bingyang Wu (Peking University and Alibaba Cloud); Kun Qian, Bo Li, Yunfei Ma, Qi Zhang, Zhigang Jiang, Jiayu Zhao, Dennis Cai, and Ennan Zhai (Alibaba Cloud); Xuanzhe Liu and Xin Jin (Peking University)
ZGaming: Zero-Latency Cloud Gaming by Image Prediction
ZGaming : cloud gaming zéro latence par prédiction d'image
Jiangkai Wu and Yu Guan (Peking University); Qi Mao (Communication University of China); Yong Cui (Tsinghua University); Zongming Guo and XINGGONG ZHANG (Peking University)