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Paper Digest: SIGCOMM 2018 Highlights

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SIGCOMM (ACM Special Interest Group on Data Communications) is one of the top data communications and networking conferences in the world.

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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Paper Digest Team
team@paperdigest.org

TABLE 1: SIGCOMM 2018 Papers

Title Authors Highlight
1 Inferring persistent interdomain congestion Amogh Dhamdhere, David D. Clark, Alexander Gamero-Garrido, Matthew Luckie, Ricky K. P. Mok, Gautam Akiwate, Kabir Gogia, Vaibhav Bajpai, Alex C. Snoeren, Kc Claffy We describe limitations, open challenges, and a path toward the use of this method for large-scale third-party monitoring of the Internet interconnection ecosystem.
2 Sincronia: near-optimal network design for coflows Saksham Agarwal, Shijin Rajakrishnan, Akshay Narayan, Rachit Agarwal, David Shmoys, Amin Vahdat We present Sincronia, a near-optimal network design for coflows that can be implemented on top on any transport layer (for flows) that supports priority scheduling.
3 Restructuring endpoint congestion control Akshay Narayan, Frank Cangialosi, Deepti Raghavan, Prateesh Goyal, Srinivas Narayana, Radhika Mittal, Mohammad Alizadeh, Hari Balakrishnan This paper describes the implementation and evaluation of a system to implement complex congestion control functions by placing them in a separate agent outside the datapath.
4 Oboe: auto-tuning video ABR algorithms to network conditions Zahaib Akhtar, Yun Seong Nam, Ramesh Govindan, Sanjay Rao, Jessica Chen, Ethan Katz-Bassett, Bruno Ribeiro, Jibin Zhan, Hui Zhang In this paper, we propose a technique called Oboe to auto-tune these parameters to different network conditions.
5 Internet anycast: performance, problems, & potential Zhihao Li, Dave Levin, Neil Spring, Bobby Bhattacharjee We propose an additional hint in BGP advertisements for anycast routes that can enable ISPs to make better choices when multiple "equally good" routes are available.
6 B4 and after: managing hierarchy, partitioning, and asymmetry for availability and scale in google’s software-defined WAN Chi-Yao Hong, Subhasree Mandal, Mohammad Al-Fares, Min Zhu, Richard Alimi, Kondapa Naidu B., Chandan Bhagat, Sourabh Jain, Jay Kaimal, Shiyu Liang, Kirill Mendelev, Steve Padgett, Faro Rabe, Saikat Ray, Malveeka Tewari, Matt Tierney, Monika Zahn, Jonathan Zolla, Joon Ong, Amin Vahdat In this paper, we present the five-year evolution of B4.
7 On low-latency-capable topologies, and their impact on the design of intra-domain routing Nikola Gvozdiev, Stefano Vissicchio, Brad Karp, Mark Handley We introduce low-latency path diversity (LLPD), a metric that captures a topology’s flexibility to accommodate traffic on alternative low-latency paths.
8 Asynchronous convergence of policy-rich distributed bellman-ford routing protocols Matthew L. Daggitt, Alexander J. T. Gurney, Timothy G. Griffin We present new results in the theory of asynchronous convergence for the Distributed Bellman-Ford (DBF) family of routing protocols which includes distance-vector protocols (e.g. RIP) and path-vector protocols (e.g. BGP).
9 Networking across boundaries: enabling wireless communication through the water-air interface Francesco Tonolini, Fadel Adib We present a new communication technology, translational acoustic-RF communication (TARF).
10 In-body backscatter communication and localization Deepak Vasisht, Guo Zhang, Omid Abari, Hsiao-Ming Lu, Jacob Flanz, Dina Katabi This paper introduces ReMix, a new backscatter design that is particularly customized for deep tissue devices.
11 PLoRa: a passive long-range data network from ambient LoRa transmissions Yao Peng, Longfei Shangguan, Yue Hu, Yujie Qian, Xianshang Lin, Xiaojiang Chen, Dingyi Fang, Kyle Jamieson This paper presents PLoRa, an ambient backscatter design that enables long-range wireless connectivity for batteryless IoT devices.
12 A measurement study on multi-path TCP with multiple cellular carriers on high speed rails Li Li, Ke Xu, Tong Li, Kai Zheng, Chunyi Peng, Dan Wang, Xiangxiang Wang, Meng Shen, Rashid Mijumbi In this paper, for the first time, we measure multi-path TCP (MPTCP) with two cellular carriers on HSRs with a peak speed of 310km/h.
13 Masking failures from application performance in data center networks with shareable backup Dingming Wu, Yiting Xia, Xiaoye Steven Sun, Xin Sunny Huang, Simbarashe Dzinamarira, T. S. Eugene Ng We propose ShareBackup as a prototype architecture to realize this concept and present the detailed design.
14 AuTO: scaling deep reinforcement learning for datacenter-scale automatic traffic optimization Li Chen, Justinas Lingys, Kai Chen, Feng Liu Leveraging the long-tail distribution of datacenter traffic, we develop a two-level DRL system, AuTO, mimicking the Peripheral & Central Nervous Systems in animals, to solve the scalability problem.
15 Leveraging interconnections for performance: the serving infrastructure of a large CDN Florian Wohlfart, Nikolaos Chatzis, Caglar Dabanoglu, Georg Carle, Walter Willinger In this paper, we describe the results of an in-depth study of the connectivity fabric of Akamai.
16 Homa: a receiver-driven low-latency transport protocol using network priorities Behnam Montazeri, Yilong Li, Mohammad Alizadeh, John Ousterhout Homa: a receiver-driven low-latency transport protocol using network priorities
17 AWStream: adaptive wide-area streaming analytics Ben Zhang, Xin Jin, Sylvia Ratnasamy, John Wawrzynek, Edward A. Lee We present AWStream, a stream processing system that simultaneously achieves low latency and high accuracy in the wide area, requiring minimal developer efforts.
18 Chameleon: scalable adaptation of video analytics Junchen Jiang, Ganesh Ananthanarayanan, Peter Bodik, Siddhartha Sen, Ion Stoica We present Chameleon, a controller that dynamically picks the best configurations for existing NN-based video analytics pipelines.
19 RF-based 3D skeletons Mingmin Zhao, Yonglong Tian, Hang Zhao, Mohammad Abu Alsheikh, Tianhong Li, Rumen Hristov, Zachary Kabelac, Dina Katabi, Antonio Torralba This paper introduces RF-Pose3D, the first system that infers 3D human skeletons from RF signals.
20 MUTE: bringing IoT to noise cancellation Sheng Shen, Nirupam Roy, Junfeng Guan, Haitham Hassanieh, Romit Roy Choudhury This paper brings IoT to active noise cancellation by combining wireless communication with acoustics.
21 Hyperloop: group-based NIC-offloading to accelerate replicated transactions in multi-tenant storage systems Daehyeok Kim, Amirsaman Memaripour, Anirudh Badam, Yibo Zhu, Hongqiang Harry Liu, Jitu Padhye, Shachar Raindel, Steven Swanson, Vyas Sekar, Srinivasan Seshan In this paper, we present HyperLoop, a new framework that removes CPU from the critical path of replicated transactions in storage systems by offloading them to commodity RDMA NICs, with non-volatile memory as the storage medium.
22 Revisiting network support for RDMA Radhika Mittal, Alexander Shpiner, Aurojit Panda, Eitan Zahavi, Arvind Krishnamurthy, Sylvia Ratnasamy, Scott Shenker We propose an improved RoCE NIC (IRN) design that makes a few simple changes to the RoCE NIC for better handling of packet losses.
23 Understanding PCIe performance for end host networking Rolf Neugebauer, Gianni Antichi, José Fernando Zazo, Yury Audzevich, Sergio López-Buedo, Andrew W. Moore We present a theoretical model for PCIe and pcie-bench, an open-source suite, that allows developers to gain an accurate and deep understanding of the PCIe substrate.
24 FBOSS: building switch software at scale Sean Choi, Boris Burkov, Alex Eckert, Tian Fang, Saman Kazemkhani, Rob Sherwood, Ying Zhang, Hongyi Zeng In this paper, we present our ongoing experiences on overcoming the complexity and scaling issues that we face when designing, developing, deploying and operating an in-house software built to manage and support a set of features required for data center switches of a large scale Internet content provider.
25 Sonata: query-driven streaming network telemetry Arpit Gupta, Rob Harrison, Marco Canini, Nick Feamster, Jennifer Rexford, Walter Willinger We present Sonata, an expressive and scalable telemetry system that coordinates joint collection and analysis of network traffic.
26 Automated synthesis of adversarial workloads for network functions Luis Pedrosa, Rishabh Iyer, Arseniy Zaostrovnykh, Jonas Fietz, Katerina Argyraki We contribute a tool that helps solve this challenge: it takes as input the LLVM code of a network function and outputs packet sequences that trigger slow execution paths.
27 T Kai Gao, Taishi Nojima, Y. Richard Yang In this paper, we conduct the first systematic study of unified SDN programming.
28 Synchronized network snapshots Nofel Yaseen, John Sonchack, Vincent Liu This paper presents the design of a Synchronized Network Snapshot protocol.
29 Enabling deep-tissue networking for miniature medical devices Yunfei Ma, Zhihong Luo, Christoph Steiger, Giovanni Traverso, Fadel Adib We present IVN (In-Vivo Networking), a system that enables powering up and communicating with miniature sensors implanted or injected in deep tissues.
30 Fast millimeter wave beam alignment Haitham Hassanieh, Omid Abari, Michael Rodriguez, Mohammed Abdelghany, Dina Katabi, Piotr Indyk This paper presents Agile-Link, a new protocol that can find the best mmWave beam alignment without scanning the space.
31 Polymorphic radios: a new design paradigm for ultra-low power communication Mohammad Rostami, Jeremy Gummeson, Ali Kiaghadi, Deepak Ganesan To achieve this, we propose radio polymorphism, a radio architecture with tightly integrated passive and active components that allows us to turn high channel dynamics to our advantage.
32 Chorus: truly distributed distributed-MIMO Ezzeldin Hamed, Hariharan Rahul, Bahar Partov This paper presents Chorus, a truly distributed distributed-MIMO system.
33 Control plane compression Ryan Beckett, Aarti Gupta, Ratul Mahajan, David Walker We develop an algorithm capable of compressing large networks into smaller ones with similar control plane behavior: For every stable routing solution in the large, original network, there exists a corresponding solution in the compressed network, and vice versa.
34 p4v: practical verification for programmable data planes Jed Liu, William Hallahan, Cole Schlesinger, Milad Sharif, Jeongkeun Lee, Robert Soulé, Han Wang, Călin Caşcaval, Nick McKeown, Nate Foster We present the design and implementation of p4v, a practical tool for verifying data planes described using the P4 programming language.
35 Microboxes: high performance NFV with customizable, asynchronous TCP stacks and dynamic subscriptions Guyue Liu, Yuxin Ren, Mykola Yurchenko, K. K. Ramakrishnan, Timothy Wood We propose Microboxes, a novel service chaining abstraction designed to support transport- and application-layer middle-boxes, or even end-system like services.
36 Debugging P4 programs with vera Radu Stoenescu, Dragos Dumitrescu, Matei Popovici, Lorina Negreanu, Costin Raiciu We present Vera, a tool that verifies P4 programs using symbolic execution.
37 Incentivizing censorship measurements via circumvention Aqib Nisar, Aqsa Kashaf, Ihsan Ayyub Qazi, Zartash Afzal Uzmi We present C-Saw, a system that measures Internet censorship by offering data-driven censorship circumvention to users.
38 RADWAN: rate adaptive wide area network Rachee Singh, Manya Ghobadi, Klaus-Tycho Foerster, Mark Filer, Phillipa Gill In this work, we take a more aggressive approach and argue for adapting the capacity of fiber optic links based on their signal-to-noise ratio (SNR).
39 Elastic sketch: adaptive and fast network-wide measurements Tong Yang, Jie Jiang, Peng Liu, Qun Huang, Junzhi Gong, Yang Zhou, Rui Miao, Xiaoming Li, Steve Uhlig To address this issue, we propose the Elastic sketch.
40 Sketchlearn: relieving user burdens in approximate measurement with automated statistical inference Qun Huang, Patrick P. C. Lee, Yungang Bao We design SketchLearn, a novel sketch-based measurement framework that resolves resource conflicts by learning their statistical properties to eliminate conflicting traffic components.