Paper Digest: NSDI 2023 Highlights

April 17, 2023July 3, 2023 admin

To search or review papers within NSDI-2023 related to a specific topic, please use the search by venue and review by venue services. To browse papers by author, here is a list of top authors (NSDI-2023).

USENIX Symposium on Networked Systems Design and Implementation (NSDI) is one of the top conferences on networked systems. In 2023, it is to be held in Boston, Massachusetts.

To help the community quickly catch up on the work presented in this conference, Paper Digest Team processed all accepted papers, and generated one highlight sentence (typically the main topic) for each paper. Readers are encouraged to read these machine generated highlights / summaries to quickly get the main idea of each paper.

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TABLE 1: Paper Digest: NSDI 2023 Highlights

	Paper	Author(s)
1	BGL: GPU-Efficient GNN Training By Optimizing Graph Data I/O and Preprocessing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes BGL, a distributed GNN training system designed to address the bottlenecks with a few key ideas.	Tianfeng Liu; Yangrui Chen; Dan Li; Chuan Wu; Yibo Zhu; Jun He; Yanghua Peng; Hongzheng Chen; Hongzhi Chen; Chuanxiong Guo;
2	StarryNet: Empowering Researchers to Evaluate Futuristic Integrated Space and Terrestrial Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents StarryNet, a novel experimentation framework that enables researchers to conveniently build credible and flexible experimental network environments (ENE) mimicking satellite dynamics and network behaviors of large-scale ISTNs.	Zeqi Lai; Hewu Li; Yangtao Deng; Qian Wu; Jun Liu; Yuanjie Li; Jihao Li; Lixin Liu; Weisen Liu; Jianping Wu;
3	Enabling High Quality Real-Time Communications with Adaptive Frame-Rate Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our measurements, from the cloud gaming platform of one of the largest gaming companies, show that, in this setting, the client-side decoder is often the cause for high latency that hurts user’s experience. We therefore propose an Adaptive Frame Rate (AFR) controller that helps achieve ultra-low latency by coordinating the frame rate with network fluctuation and decoder capacity.	Zili Meng; Tingfeng Wang; Yixin Shen; Bo Wang; Mingwei Xu; Rui Han; Honghao Liu; Venkat Arun; Hongxin Hu; Xue Wei;
4	POLYCORN: Data-driven Cross-layer Multipath Networking for High-speed Railway Through Composable Schedulerlets Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We conduct extensive measurements on commercial HSR trains, and collect a massive 1.79 TB GPS-labeled TCP-LTE dataset covering a total travel distance of 28,800 km. Leveraging the new insights from the measurement, we de-sign, implement, and evaluate POLYCORN, a first-of-its-kind networking system that can significantly boost Internet performance for HSR passengers.	Yunzhe Ni; Feng Qian; Taide Liu; Yihua Cheng; Zhiyao Ma; Jing Wang; Zhongfeng Wang; Gang Huang; Xuanzhe Liu; Chenren Xu;
5	Nu: Achieving Microsecond-Scale Resource Fungibility with Logical Processes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose logical processes, a new abstraction that splits the classic UNIX process into units of state called proclets.	Zhenyuan Ruan; Seo Jin Park; Marcos K. Aguilera; Adam Belay; Malte Schwarzkopf;
6	LinkLab 2.0: A Multi-tenant Programmable IoT Testbed for Experimentation with Edge-Cloud Integration Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present LinkLab 2.0, a completely programmable and controllable IoT testbed with the support of edge devices and cloud infrastructures.	Wei Dong; Borui Li; Haoyu Li; Hao Wu; Kaijie Gong; Wenzhao Zhang; Yi Gao;
7	Unlocking Unallocated Cloud Capacity for Long, Uninterruptible Workloads Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We characterize HVMs from a major cloud provider and discover large spatial variations in their stability and resources.	Anup Agarwal; Shadi Noghabi; ��igo Goiri; Srinivasan Seshan; Anirudh Badam;
8	Following The Data, Not The Function: Rethinking Function Orchestration in Serverless Computing Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: By making data consumption explicit and allowing it to trigger functions and drive the workflow, complex function interactions can be easily and ef?ciently supported. We present Pheromone � a scalable, low-latency serverless platform following this data-centric design.	Minchen Yu; Tingjia Cao; Wei Wang; Ruichuan Chen;
9	Fast, Approximate Vector Queries on Very Large Unstructured Datasets Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents Auncel, a vector query engine for large unstructured datasets that provides bounded query errors and bounded query latencies.	Zili Zhang; Chao Jin; Linpeng Tang; Xuanzhe Liu; Xin Jin;
10	Canvas: Isolated and Adaptive Swapping for Multi-Applications on Remote Memory Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Swap isolation lays a foundation for adaptive optimization techniques based on each application’s own access patterns and needs. We develop three such techniques: (1) adaptive swap entry allocation, (2) semantics-aware prefetching, and (3) two-dimensional RDMA scheduling.	Chenxi Wang; Yifan Qiao; Haoran Ma; Shi Liu; Yiying Zhang; Wenguang Chen; Ravi Netravali; Miryung Kim; Guoqing Harry Xu;
11	Bamboo: Making Preemptible Instances Resilient for Affordable Training of Large DNNs Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper aims to significantly reduce training costs with effective use of preemptible instances, i.e., those that can be obtained at a much cheaper price while idle, but may be preempted whenever requested by priority users.	John Thorpe; Pengzhan Zhao; Jonathan Eyolfson; Yifan Qiao; Zhihao Jia; Minjia Zhang; Ravi Netravali; Guoqing Harry Xu;
12	Enhancing Global Network Monitoring with Magnifier Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: While sampling can be tailored and optimized to specific contexts, this coverage-overhead trade-off is unavoidable.Rather than optimizing sampling, we propose to magnify the sampling coverage by complementing it with mirroring.	Tobias B�hler; Romain Jacob; Ingmar Poese; Laurent Vanbever;
13	Channel-Aware 5G RAN Slicing with Customizable Schedulers Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper focuses on 5G RAN slicing, where the 5G radio resources must be divided across slices (or enterprises) so as to achieve high spectrum efficiency, fairness and isolation across slices, and the ability for each slice to customize how the radio resources are divided across its own users.	Yongzhou Chen; Ruihao Yao; Haitham Hassanieh; Radhika Mittal;
14	Building Flexible, Low-Cost Wireless Access Networks With Magma Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present Magma, an open and flexible system for building low-cost wireless access networks.	Shaddi Hasan; Amar Padmanabhan; Bruce Davie; Jennifer Rexford; Ulas Kozat; Hunter Gatewood; Shruti Sanadhya; Nick Yurchenko; Tariq Al-Khasib; Oriol Batalla; Marie Bremner; Andrei Lee; Evgeniy Makeev; Scott Moeller; Alex Rodriguez; Pravin Shelar; Karthik Subraveti; Sudarshan Kandi; Alejandro Xoconostle; Praveen Kumar Ramakrishnan; Xiaochen Tian; Anoop Tomar;
15	NetRPC: Enabling In-Network Computation in Remote Procedure Calls Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a general INC-enabled RPC system, NetRPC.	Bohan Zhao; Wenfei Wu; Wei Xu;
16	Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, we propose Zeus, an optimization framework to navigate this tradeoff by automatically finding optimal job- and GPU-level configurations for recurring DNN training jobs.	Jie You; Jae-Won Chung; Mosharaf Chowdhury;
17	TACCL: Guiding Collective Algorithm Synthesis Using Communication Sketches Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We develop TACCL, a tool that enables algorithm designers to guide a synthesizer into automatically generating algorithms for a given hardware configuration and communication collective.	Aashaka Shah; Vijay Chidambaram; Meghan Cowan; Saeed Maleki; Madan Musuvathi; Todd Mytkowicz; Jacob Nelson; Olli Saarikivi; Rachee Singh;
18	Rearchitecting The TCP Stack for I/O-Offloaded Content Delivery Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our experiments reveal that over 70% of CPU cycles are spent on simple tasks such as disk and network I/O operations in online content delivery.In this work, we present IO-TCP, a split TCP stack design that drastically reduces the burden on CPU for online content delivery.	Taehyun Kim; Deondre Martin Ng; Junzhi Gong; Youngjin Kwon; Minlan Yu; KyoungSoo Park;
19	Scalable Distributed Massive MIMO Baseband Processing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a new scalable distributed system called Hydra, designed to parallelize massive MIMO baseband processing while minimizing the overhead of distributing computation over multiple machines.	Junzhi Gong; Anuj Kalia; Minlan Yu;
20	NetPanel: Traffic Measurement of Exchange Online Service Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce NetPanel, which is a traffic measurement platform for the Exchange Online (EXO) service of Microsoft.	Yu Chen; Liqun Li; Yu Kang; Boyang Zheng; Yehan Wang; More Zhou; Yuchao Dai; Zhenguo Yang; Brad Rutkowski; Jeff Mealiffe; Qingwei Lin;
21	DChannel: Accelerating Mobile Applications With Parallel High-bandwidth and Low-latency Channels Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We explore a different direction for wireless channel design to address the fundamental bandwidth-latency tradeoff: utilizing two channels-one high bandwidth, one low latency-simultaneously to improve performance of common Internet applications.	William Sentosa; Balakrishnan Chandrasekaran; P. Brighten Godfrey; Haitham Hassanieh; Bruce Maggs;
22	A High-Speed Stateful Packet Processing Approach for Tbps Programmable Switches Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present RIBOSOME, a system that extends programmable switches with external memory (to store packets) and external general-purpose packet processing devices such as CPUs or FPGAs (to perform stateful operations).	Mariano Scazzariello; Tommaso Caiazzi; Hamid Ghasemirahni; Tom Barbette; Dejan Kostic; Marco Chiesa;
23	XBGP: Faster Innovation in Routing Protocols Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We demonstrate the feasibility of our approach by extending both FRRouting and BIRD.We demonstrate seven different use cases showing the benefits that network operators can obtain using xBGP programs. We propose a verification toolchain that enables operators to compile and verify the safety properties of xBGP programs before deploying them.	Thomas Wirtgen; Tom Rousseaux; Quentin De Coninck; Nicolas Rybowski; Randy Bush; Laurent Vanbever; Axel Legay; Olivier Bonaventure;
24	Addax: A Fast, Private, and Accountable Ad Exchange Infrastructure Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes Addax, a fast, verifiable, and private online ad exchange.	Ke Zhong; Yiping Ma; Yifeng Mao; Sebastian Angel;
25	RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: RECL is a new video-analytics framework that carefully integrates model reusing and online model retraining, allowing it to quickly adapt the expert model given any video frame samples.	Mehrdad Khani; Ganesh Ananthanarayanan; Kevin Hsieh; Junchen Jiang; Ravi Netravali; Yuanchao Shu; Mohammad Alizadeh; Victor Bahl;
26	Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We design Shockwave, a scheduler with future planning that builds on two key ideas.	Pengfei Zheng; Rui Pan; Tarannum Khan; Shivaram Venkataraman; Aditya Akella;
27	SRNIC: A Scalable Architecture for RDMA NICs Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our key insight in SRNIC is that, on-chip data structures and their memory requirements in RNICs can be minimized with careful protocol and architecture co-designs to improve connection scalability.	Zilong Wang; Layong Luo; Qingsong Ning; Chaoliang Zeng; Wenxue Li; Xinchen Wan; Peng Xie; Tao Feng; Ke Cheng; Xiongfei Geng; Tianhao Wang; Weicheng Ling; Kejia Huo; Pingbo An; Kui Ji; Shideng Zhang; Bin Xu; Ruiqing Feng; Tao Ding; Kai Chen; Chuanxiong Guo;
28	LeakyScatter: A Frequency-Agile Directional Backscatter Network Above 100 GHz Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, the power consumption and complexity of wireless devices increase significantly with frequency. In this paper, we present LeakyScatter, the first backscatter system that enables directional, low-power, and frequency-agile wireless links above 100 GHz.	Atsutse Kludze; Yasaman Ghasempour;
29	Boggart: Towards General-Purpose Acceleration of Retrospective Video Analytics Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present Boggart, a system that simultaneously meets all three goals while supporting the generality that today’s platforms seek.	Neil Agarwal; Ravi Netravali;
30	Gemel: Model Merging for Memory-Efficient, Real-Time Video Analytics at The Edge Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present model merging, a new memory management technique that exploits architectural similarities between edge vision models by judiciously sharing their layers (including weights) to reduce workload memory costs and swapping delays.	Arthi Padmanabhan; Neil Agarwal; Anand Iyer; Ganesh Ananthanarayanan; Yuanchao Shu; Nikolaos Karianakis; Guoqing Harry Xu; Ravi Netravali;
31	The Benefit of Hindsight: Tracing Edge-Cases in Distributed Systems Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a lightweight and always-on distributed tracing system, Hindsight, which implements a retroactive sampling abstraction: instead of eagerly ingesting and processing traces, Hindsight lazily retrieves trace data only after symptoms of a problem are detected.	Lei Zhang; Zhiqiang Xie; Vaastav Anand; Ymir Vigfusson; Jonathan Mace;
32	TopoOpt: Co-optimizing Network Topology and Parallelization Strategy for Distributed Training Jobs Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose TopoOpt, a novel direct-connect fabric for deep neural network (DNN) training workloads.	Weiyang Wang; Moein Khazraee; Zhizhen Zhong; Manya Ghobadi; Zhihao Jia; Dheevatsa Mudigere; Ying Zhang; Anthony Kewitsch;
33	ModelKeeper: Accelerating DNN Training Via Automated Training Warmup Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our key insight is that initializing a training job’s model by transforming an already-trained model’s weights can jump-start it and reduce the total amount of training needed.	Fan Lai; Yinwei Dai; Harsha V. Madhyastha; Mosharaf Chowdhury;
34	Doing More with Less: Orchestrating Serverless Applications Without An Orchestrator Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, they limit application flexibility and are expensive to use. We show that these specialized orchestration services are unnecessary.	David H. Liu; Amit Levy; Shadi Noghabi; Sebastian Burckhardt;
35	SHEPHERD: Serving DNNs in The Wild Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, achieving all three goals simultaneously is challenging since inference requests have very tight latency constraints (10 – 500 ms), and production workloads can be extremely unpredictable at such small time granularities.We present SHEPHERD, a model serving system that achieves all three goals in the face of workload unpredictability.	Hong Zhang; Yupeng Tang; Anurag Khandelwal; Ion Stoica;
36	Synthesizing Runtime Programmable Switch Updates Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: FlexPlan is a tool that identifies step-by-step runtime update plans using program synthesis, guaranteeing that each transition state is correct with regard to a user specification and feasible within switch memory constraints. It develops novel, domain-specific techniques for this task, which scale to large, real-world programs with sizable changes.	Yiming Qiu; Ryan Beckett; Ang Chen;
37	Protego: Overload Control for Applications with Unpredictable Lock Contention Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we show that locks, especially blocking synchronization, can squander throughput and harm tail latency, even when the CPU is underutilized.	Inho Cho; Ahmed Saeed; Seo Jin Park; Mohammad Alizadeh; Adam Belay;
38	Formal Methods for Network Performance Analysis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Techniques from queuing theory and network calculus can provide rigorous bounds on performance metrics, but typically require the behavior of network components and the arrival pattern of traffic to be approximated with concise and well-behaved mathematical functions. As such, they are not immediately applicable to emerging workloads and the new algorithms and protocols developed for handling them.We explore a different approach: using formal methods to analyze network performance.	Mina Tahmasbi Arashloo; Ryan Beckett; Rachit Agarwal;
39	Poseidon: Efficient, Robust, and Practical Datacenter CC Via Deployable INT Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present Poseidon, a novel CC protocol that exploits INT to address blind spots of CC algorithms and realize several fundamentally advantageous properties.	Weitao Wang; Masoud Moshref; Yuliang Li; Gautam Kumar; T. S. Eugene Ng; Neal Cardwell; Nandita Dukkipati;
40	SECRECY: Secure Collaborative Analytics in Untrusted Clouds Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present SECRECY, a system for privacy-preserving collaborative analytics as a service.	John Liagouris; Vasiliki Kalavri; Muhammad Faisal; Mayank Varia;
41	Hostping: Diagnosing Intra-host Network Bottlenecks in RDMA Servers Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we analyze the symptom of intra-host bottlenecks based on our longterm troubleshooting experience and propose Hostping, the first bottleneck monitoring and diagnosis system dedicated to intra-host networks.	Kefei Liu; Zhuo Jiang; Jiao Zhang; Haoran Wei; Xiaolong Zhong; Lizhuang Tan; Tian Pan; Tao Huang;
42	Understanding RDMA Microarchitecture Resources for Performance Isolation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we aim to systematically understand the impact of RNIC microarchitecture resources on performance isolation.	Xinhao Kong; Jingrong Chen; Wei Bai; Yechen Xu; Mahmoud Elhaddad; Shachar Raindel; Jitendra Padhye; Alvin R. Lebeck; Danyang Zhuo;
43	Hydra: Serialization-Free Network Ordering for Strongly Consistent Distributed Applications Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Traditionally, this ordering has been established by application-level protocols like Paxos or two-phase locking. Recent work has shown significant performance improvements are attainable by making ordering a network service, but current network sequencing implementations require routing all requests through a single sequencer � leading to scalability, fault tolerance, and load balancing limitations.Our work, Hydra, overcomes these limitations by using a distributed set of network sequencers to provide network ordering.	Inho Choi; Ellis Michael; Yunfan Li; Dan R. K. Ports; Jialin Li;
44	SelfTune: Tuning Cluster Managers Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Currently, operators manually set these parameters using a combination of domain knowledge and limited testing. In very large-scale and dynamic environments, these manually-set parameters may lead to sub-optimal cluster states, adversely affecting important metrics such as latency and throughput.In this paper we describe SelfTune, a framework that automatically tunes such parameters in deployment.	Ajaykrishna Karthikeyan; Nagarajan Natarajan; Gagan Somashekar; Lei Zhao; Ranjita Bhagwan; Rodrigo Fonseca; Tatiana Racheva; Yogesh Bansal;
45	Better Together: Jointly Optimizing ML Collective Scheduling and Execution Planning Using SYNDICATE Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose SYNDICATE, a systematic, general framework to minimize communication bottlenecks and speed up training for both state-of-the-art and future large-scale models and interconnects.	Kshiteej Mahajan; Ching-Hsiang Chu; Srinivas Sridharan; Aditya Akella;
46	Scalable Tail Latency Estimation for Data Center Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we consider how to provide fast estimates of flow-level tail latency performance for very large scale data center networks.	Kevin Zhao; Prateesh Goyal; Mohammad Alizadeh; Thomas E. Anderson;
47	Enabling Users to Control Their Internet Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a system, CRAB, that runs at the receiver’s devices – home routers and endpoints – and enforces user-specified weights across the incoming flows, without any explicit support from the ISP or the senders.	Ammar Tahir; Radhika Mittal;
48	OpenLoRa: Validating LoRa Implementations Through An Extensible and Open-sourced Framework Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we verify the implementation and efficacy of four of the most recent works on LoRa packet collisions, in addition to standard LoRa.	Manan Mishra; Daniel Koch; Muhammad Osama Shahid; Bhuvana Krishnaswamy; Krishna Chintalapudi; Suman Banerjee;
49	RF-Chord: Towards Deployable RFID Localization System for Logistic Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: A practical and deployable RFID localization system needs to meet reliability, throughput, and range requirements. This paper presents RF-CHORD, the first RFID localization system that simultaneously meets all three requirements.	Bo Liang; Purui Wang; Renjie Zhao; Heyu Guo; Pengyu Zhang; Junchen Guo; Shunmin Zhu; Hongqiang Harry Liu; Xinyu Zhang; Chenren Xu;
50	Skyplane: Optimizing Transfer Cost and Throughput Using Cloud-Aware Overlays Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present Skyplane, a system for bulk data transfer between cloud object stores that uses cloud-aware network overlays to optimally navigate the trade-off between price and performance.	Paras Jain; Sam Kumar; Sarah Wooders; Shishir G. Patil; Joseph E. Gonzalez; Ion Stoica;
51	Transparent GPU Sharing in Container Clouds for Deep Learning Workloads Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present TGS (Transparent GPU Sharing), a system that provides transparent GPU sharing to DL training in container clouds.	Bingyang Wu; Zili Zhang; Zhihao Bai; Xuanzhe Liu; Xin Jin;
52	FLASH: Towards A High-performance Hardware Acceleration Architecture for Cross-silo Federated Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Cross-silo federated learning (FL) adopts various cryptographic operations to preserve data privacy, which introduces significant performance overhead. In this paper, we identify nine widely-used cryptographic operations and design an efficient hardware architecture to accelerate them.	Junxue Zhang; Xiaodian Cheng; Wei Wang; Liu Yang; Jinbin Hu; Kai Chen;
53	SlimWiFi: Ultra-Low-Power IoT Radio Architecture Enabled By Asymmetric Communication Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To communicate with existing wireless infrastructures such as Wi-Fi, an Internet of Things (IoT) radio device needs to adopt a compatible PHY layer which entails sophisticated hardware and high power consumption. This paper breaks the tension for the first time through a system called SlimWiFi.	Renjie Zhao; Kejia Wang; Kai Zheng; Xinyu Zhang; Vincent Leung;
54	LemonNFV: Consolidating Heterogeneous Network Functions at Line Speed Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present LemonNFV, a novel NFV framework that can consolidate heterogeneous NFs without code modification.	Hao Li; Yihan Dang; Guangda Sun; Guyue Liu; Danfeng Shan; Peng Zhang;
55	DOTE: Rethinking (Predictive) WAN Traffic Engineering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We explore a new design point for traffic engineering on wide-area networks (WANs): directly optimizing traffic flow on the WAN using only historical data about traffic demands.	Yarin Perry; Felipe Vieira Frujeri; Chaim Hoch; Srikanth Kandula; Ishai Menache; Michael Schapira; Aviv Tamar;
56	Boomerang: Metadata-Private Messaging Under Hardware Trust Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we take a different technical route from prior art, and propose Boomerang, an alternative metadata-private messaging system leveraging the readily available trust assumption on secure enclaves (as those emerging in the cloud).	Peipei Jiang; Qian Wang; Jianhao Cheng; Cong Wang; Lei Xu; Xinyu Wang; Yihao Wu; Xiaoyuan Li; Kui Ren;
57	Bolt: Sub-RTT Congestion Control for Ultra-Low Latency Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We identify that for CC to make quick and accurate decisions, the use of precise congestion signals and minimization of the control loop delay are vital. We address these issues by designing Bolt, an attempt to push congestion control to its theoretical limits by harnessing the power of programmable data planes.	Serhat Arslan; Yuliang Li; Gautam Kumar; Nandita Dukkipati;
58	Dashlet: Taming Swipe Uncertainty for Robust Short Video Streaming Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper describes the design and implementation of Dashlet, a system tailored for high quality of experience in short video streaming applications.	Zhuqi Li; Yaxiong Xie; Ravi Netravali; Kyle Jamieson;
59	Remote Procedure Call As A Managed System Service Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose, implement, and evaluate a novel approach, where RPC marshalling and policy enforcement are done as a system service rather than as a library linked into each application.	Jingrong Chen; Yongji Wu; Shihan Lin; Yechen Xu; Xinhao Kong; Thomas Anderson; Matthew Lentz; Xiaowei Yang; Danyang Zhuo;
60	Sketchovsky: Enabling Ensembles of Sketches on Programmable Switches Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present the design and implementation of Sketchovsky, a novel cross-sketch optimization and composition framework.	Hun Namkung; Zaoxing Liu; Daehyeok Kim; Vyas Sekar; Peter Steenkiste;
61	On Modular Learning of Distributed Systems for Predicting End-to-End Latency Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose Fluxion, a framework to model end-to-end system latency with modularized learning.	Chieh-Jan Mike Liang; Zilin Fang; Yuqing Xie; Fan Yang; Zhao Lucis Li; Li Lyna Zhang; Mao Yang; Lidong Zhou;
62	Push-Button Reliability Testing for Cloud-Backed Applications with Rainmaker Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We develop a taxonomy of bugs that render cloud-backed applications vulnerable to common transient faults.	Yinfang Chen; Xudong Sun; Suman Nath; Ze Yang; Tianyin Xu;
63	�Mote: Enabling Passive Chirp De-spreading and �W-level Long-Range Downlink for Backscatter Devices Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose �Mote, a �W-level long-range receiver for backscatter devices.	Yihang Song; Li Lu; Jiliang Wang; Chong Zhang; Hui Zheng; Shen Yang; Jinsong Han; Jian Li;
64	CellDAM: User-Space, Rootless Detection and Mitigation for 5G Data Plane Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose CellDAM, a new solution that is used at the device without any infrastructure upgrades or standard changes.	Zhaowei Tan; Jinghao Zhao; Boyan Ding; Songwu Lu;
65	ARK: GPU-driven Code Execution for Distributed Deep Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address the problem, we propose a GPU-driven code execution system that leverages a GPU-controlled hardware DMA engine for I/O offloading.	Changho Hwang; KyoungSoo Park; Ran Shu; Xinyuan Qu; Peng Cheng; Yongqiang Xiong;
66	RF-Bouncer: A Programmable Dual-band Metasurface for Sub-6 Wireless Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose RF-Bouncer, a compact, low-cost, simple-structure programmable dual-band metasurface that supports concurrent beamforming on two Sub-6 ISM bands.	Xinyi Li; Chao Feng; Xiaojing Wang; Yangfan Zhang; Yaxiong Xie; Xiaojiang Chen;
67	Hamilton: A High-Performance Transaction Processor for Central Bank Digital Currencies Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present Hamilton, a transaction processor for CBDC that provides high throughput, low latency, and fault tolerance, and that minimizes data stored in the transaction processor and provides flexibility for multiple types of programmability and a variety of roles for financial intermediaries.	James Lovejoy; Madars Virza; Cory Fields; Kevin Karwaski; Anders Brownworth; Neha Narula;
68	HALP: Heuristic Aided Learned Preference Eviction Policy for YouTube Content Delivery Network Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we demonstrate machine learning techniques to improve the efficiency of YouTube’s CDN DRAM cache.	Zhenyu Song; Kevin Chen; ?ikhil Sarda; Deniz Altinb�ken; Eugene Brevdo; Jimmy Coleman; Xiao Ju; Pawel Jurczyk; Richard Schooler; Ramki Gummadi;
69	Understanding The Impact of Host Networking Elements on Traffic Bursts Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We develop Valinor, a traffic measurement framework that consists of eBPF hooks and measurement modules in a programmable network.	Erfan Sharafzadeh; Sepehr Abdous; Soudeh Ghorbani;
70	SPEEDEX: A Scalable, Parallelizable, and Economically Efficient Decentralized EXchange Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: SPEEDEX’s key design insight is its use of an Arrow-Debreu exchange market structure that fixes the valuation of assets for all trades in a given block of transactions. We construct an algorithm, which is both asymptotically efficient and empirically practical, that computes these valuations while exactly preserving a DEX’s financial correctness constraints.	Geoffrey Ramseyer; Ashish Goel; David Mazi�res;
71	ExoPlane: An Operating System for On-Rack Switch Resource Augmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we argue that an on-rack switch resource augmentation architecture that augments a programmable switch with other programmable network hardware, such as smart NICs, on the same rack can be a pragmatic and incrementally scalable solution.	Daehyeok Kim; Vyas Sekar; Srinivasan Seshan;
72	Acoustic Sensing and Communication Using Metasurface Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We develop a novel acoustic system that leverages a metasurface and a small number of speakers.	Yongzhao Zhang; Yezhou Wang; Lanqing Yang; Mei Wang; Yi-Chao Chen; Lili Qiu; Yihong Liu; Guangtao Xue; Jiadi Yu;
73	Waverunner: An Elegant Approach to Hardware Acceleration of State Machine Replication Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose Waverunner, a new approach to accelerate SMR using FPGA-based SmartNICs.	Mohammadreza Alimadadi; Hieu Mai; Shenghsun Cho; Michael Ferdman; Peter Milder; Shuai Mu;
74	OneWAN Is Better Than Two: Unifying A Split WAN Architecture Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present the unification of Microsoft’s split-WAN architecture consisting of SWAN and CORE networks into ONEWAN.	Umesh Krishnaswamy; Rachee Singh; Paul Mattes; Paul-Andre C Bissonnette; Nikolaj Bj�rner; Zahira Nasrin; Sonal Kothari; Prabhakar Reddy; John Abeln; Srikanth Kandula; Himanshu Raj; Luis Irun-Briz; Jamie Gaudette; Erica Lan;
75	SLNet: A Spectrogram Learning Neural Network for Deep Wireless Sensing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we explore an unseen opportunity to push the limit of wireless sensing by jointly employing learning-based spectrogram generation and spectrogram learning.	Zheng Yang; Yi Zhang; Kun Qian; Chenshu Wu;
76	Tambur: Efficient Loss Recovery for Videoconferencing Via Streaming Codes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, existing streaming codes do not address the needs of videoconferencing, and their potential to improve the QoE for videoconferencing is largely untested. \emph{Tambur} is a new streaming-codes-based approach to videoconferencing that overcomes the aforementioned limitations.	Michael Rudow; Francis Y. Yan; Abhishek Kumar; Ganesh Ananthanarayanan; Martin Ellis; K.V. Rashmi;
77	Practical Intent-driven Routing Configuration Synthesis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces Aura, a production-level synthesis system for datacenter routing policies.	Sivaramakrishnan Ramanathan; Ying Zhang; Mohab Gawish; Yogesh Mundada; Zhaodong Wang; Sangki Yun; Eric Lippert; Walid Taha; Minlan Yu; Jelena Mirkovic;
78	Electrode: Accelerating Distributed Protocols with EBPF Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present Electrode with a set of eBPF-based performance optimizations designed for distributed protocols.	Yang Zhou; Zezhou Wang; Sowmya Dharanipragada; Minlan Yu;
79	LOCA: A Location-Oblivious Cellular Architecture Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Cellular operators today know both the identity and location of their mobile subscribers and hence can easily profile users based on this information. Given this status quo, we aim to design a cellular architecture that protects the location privacy of users from their cellular providers.	Zhihong Luo; Silvery Fu; Natacha Crooks; Shaddi Hasan; Christian Maciocco; Sylvia Ratnasamy; Scott Shenker;
80	Hermit: Low-Latency, High-Throughput, and Transparent Remote Memory Via Feedback-Directed Asynchrony Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Hermit is a redesigned swap system that overcomes this limitation through a novel technique called adaptive, feedback-directed asynchrony.	Yifan Qiao; Chenxi Wang; Zhenyuan Ruan; Adam Belay; Qingda Lu; Yiying Zhang; Miryung Kim; Guoqing Harry Xu;
81	Exploring Practical Vulnerabilities of Machine Learning-based Wireless Systems Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We design and evaluate the impact of practically feasible adversarial attacks against such ML-based wireless systems.	Zikun Liu; Changming Xu; Emerson Sie; Gagandeep Singh; Deepak Vasisht;
82	RHINE: Robust and High-performance Internet Naming with E2E Authenticity Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Although DNSSEC provides data authenticity in theory, practical deployments unfortunately are fragile, costly, and typically lacks end-to-end (E2E) guarantees. This motivates us to rethink authentication in DNS fundamentally and introduce RHINE, a secure-by-design Internet naming system.	Huayi Duan; Rub�n Fischer; Jie Lou; Si Liu; David Basin; Adrian Perrig;
83	RingLeader: Efficiently Offloading Intra-Server Orchestration to NICs Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present RingLeader, a new programmable NIC with novel hardware units for software-informed request load balancing and programmable scheduling and a new light-weight OS-NIC interface that enables close NIC-CPU coordination and supports NIC-assisted CPU scheduling.	Jiaxin Lin; Adney Cardoza; Tarannum Khan; Yeonju Ro; Brent E. Stephens; Hassan Wassel; Aditya Akella;
84	Flattened Clos: Designing High-performance Deadlock-free Expander Data Center Networks Using Graph Contraction Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose Flattened Clos (FC), a topology/routing codesigned approach, to eliminate the PFC-induced deadlocks in expander networks.	Shizhen Zhao; Qizhou Zhang; Peirui Cao; Xiao Zhang; Xinbing Wang; Chenghu Zhou;
85	CausalSim: A Causal Framework for Unbiased Trace-Driven Simulation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present CausalSim, a causal framework for unbiased trace-driven simulation.	Abdullah Alomar; Pouya Hamadanian; Arash Nasr-Esfahany; Anish Agarwal; Mohammad Alizadeh; Devavrat Shah;
86	Augmenting Augmented Reality with Non-Line-of-Sight Perception Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present the design, implementation, and evaluation of X-AR, an augmented reality (AR) system with non-line-of-sight perception.	Tara Boroushaki; Maisy Lam; Laura Dodds; Aline Eid; Fadel Adib;
87	Arya: Arbitrary Graph Pattern Mining with Decomposition-based Sampling Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents Arya, an ultra-fast approximate graph pattern miner that can detect and count arbitrary patterns of a graph.	Zeying Zhu; Kan Wu; Zaoxing Liu;
88	VeCare: Statistical Acoustic Sensing for Automotive In-Cabin Monitoring Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present VECARE, the first CPD system that leverages existing in-car audio without any hardware changes.	Yi Zhang; Weiying Hou; Zheng Yang; Chenshu Wu;
89	DiSh: Dynamic Shell-Script Distribution Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces DiSh, a system that distributes the execution of dynamic shell scripts operating on distributed filesystems.	Tammam Mustafa; Konstantinos Kallas; Pratyush Das; Nikos Vasilakis;
90	Invisinets: Removing Networking from Cloud Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We thus propose an alternative interface to the cloud provider’s network resources in which a tenant’s connectivity needs are reduced to a set of parameters associated with compute endpoints.	Sarah McClure; Zeke Medley; Deepak Bansal; Karthick Jayaraman; Ashok Narayanan; Jitendra Padhye; Sylvia Ratnasamy; Anees Shaikh; Rishabh Tewari;
91	Test Coverage for Network Configurations Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We develop NetCov, the first tool to reveal which network configuration lines are tested by a suite of network tests.	Xieyang Xu; Weixin Deng; Ryan Beckett; Ratul Mahajan; David Walker;
92	Norma: Towards Practical Network Load Testing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents Norma, a practical network load tester built upon programmable switch ASICs.	Yanqing Chen; Bingchuan Tian; Chen Tian; Li Dai; Yu Zhou; Mengjing Ma; Ming Tang; Hao Zheng; Zhewen Yang; Guihai Chen; Dennis Cai; Ennan Zhai;
93	Empowering Azure Storage with RDMA Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work presents our experience in deploying intra-region RDMA to support storage workloads in Azure.	Wei Bai; Shanim Sainul Abdeen; Ankit Agrawal; Krishan Kumar Attre; Paramvir Bahl; Ameya Bhagat; Gowri Bhaskara; Tanya Brokhman; Lei Cao; Ahmad Cheema; Rebecca Chow; Jeff Cohen; Mahmoud Elhaddad; Vivek Ette; Igal Figlin; Daniel Firestone; Mathew George; Ilya German; Lakhmeet Ghai; Eric Green; Albert Greenberg; Manish Gupta; Randy Haagens; Matthew Hendel; Ridwan Howlader; Neetha John; Julia Johnstone; Tom Jolly; Greg Kramer; David Kruse; Ankit Kumar; Erica Lan; Ivan Lee; Avi Levy; Marina Lipshteyn; Xin Liu; Chen Liu; Guohan Lu; Yuemin Lu; Xiakun Lu; Vadim Makhervaks; Ulad Malashanka; David A. Maltz; Ilias Marinos; Rohan Mehta; Sharda Murthi; Anup Namdhari; Aaron Ogus; Jitendra Padhye; Madhav Pandya; Douglas Phillips; Adrian Power; Suraj Puri; Shachar Raindel; Jordan Rhee; Anthony Russo; Maneesh Sah; Ali Sheriff; Chris Sparacino; Ashutosh Srivastava; Weixiang Sun; Nick Swanson; Fuhou Tian; Lukasz Tomczyk; Vamsi Vadlamuri; Alec Wolman; Ying Xie; Joyce Yom; Lihua Yuan; Yanzhao Zhang; Brian Zill;
94	SkyPilot: An Intercloud Broker for Sky Computing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we propose doing so not by imposing uniform and comprehensive standards, but by creating a fine-grained two-sided market via an intercloud broker.	Zongheng Yang; Zhanghao Wu; Michael Luo; Wei-Lin Chiang; Romil Bhardwaj; Woosuk Kwon; Siyuan Zhuang; Frank Sifei Luan; Gautam Mittal; Scott Shenker; Ion Stoica;
95	MmWall: A Steerable, Transflective Metamaterial Surface for NextG MmWave Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents the design, hardware implementation, and experimental evaluation of mmWall, the first electronically almost-360-degree steerable metamaterial surface that operates above 24 GHz and both refracts or reflects incoming mmWave transmissions.	Kun Woo Cho; Mohammad H. Mazaheri; Jeremy Gummeson; Omid Abari; Kyle Jamieson;
96	Disaggregating Stateful Network Functions Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We describe our solutions to the consequent challenges and present results from a production deployment at a large public cloud.	Deepak Bansal; Gerald DeGrace; Rishabh Tewari; Michal Zygmunt; James Grantham; Silvano Gai; Mario Baldi; Krishna Doddapaneni; Arun Selvarajan; Arunkumar Arumugam; Balakrishnan Raman; Avijit Gupta; Sachin Jain; Deven Jagasia; Evan Langlais; Pranjal Srivastava; Rishiraj Hazarika; Neeraj Motwani; Soumya Tiwari; Stewart Grant; Ranveer Chandra; Srikanth Kandula;