ACM SIGCOMM 2018, Budapest, Hungary

ACM SIGCOMM 2018 Workshop on Network Meets AI & ML (NetAI 2018)

Workshop Program

  • Friday, August 24, 2018, InterContinental

  • 8:30 am - 8:50 am Opening

    Session Chair: Marco Canini (KAUST, KSA) and Chen Tian (NJU, China)

    Location: InterContinental, Ballroom I

  • 8:50 am - 9:40 am Keynote I: Toward Highly-Available, Intelligent Cloud and ML Systems

    Speaker: Chuanxiong Guo (ByteDance, China)

    Location: InterContinental, Ballroom I

  • 9:40 am - 10:30 am Session I: Systems

    Location: InterContinental, Ballroom I

  • 9:40 am - 10:05 am

    HiPS: Hierarchical Parameter Synchronization in Large-Scale Distributed Machine Learning

    Jinkun Geng, Dan Li, Yang Cheng, Shuai Wang, Junfeng Li (Tsinghua, China)

  • 10:05 am - 10:30 am

    DeepConfig: Automating Data Center Network Topologies Management with Machine Learning

    Saim Salman (Brown, USA), Chris Streiffer (Duke, USA), Huan Chen (UESTC, China), Theophilus Benson (Brown, USA), Asim Kadav (NEC, USA)

  • 10:30 am - 11:00 am Tea/Coffee Break

    Location: InterContinental, Pre-Function Area

  • 11:00 am - 11:50 am Keynote II: Self-Programming Networks: Architecture and Algorithms

    Speaker: Balaji Prabhakar (Stanford, USA)

    Location: InterContinental, Ballroom I

  • 11:50 am - 12:40 pm Session II: Measurements I

    Location: InterContinental, Ballroom I

  • 11:50 am - 12:15 pm

    Empowering Sketches with Machine Learning for Network Measurements

    Tong Yang, Lun Wang (PKU, China), Yulong Shen (Xidian, China), Muhammad Shahzad (NCSU, USA), Qun Huang (CAS, China), Xiaohong Jiang (FUN, Japan), Kun Tan (Huawei, China), Xiaoming Li (PKU, China)

  • 12:15 pm - 12:40 pm

    Efficient Distribution-Derived Features for High-Speed Encrypted Flow Classification

    Johan Garcia, Topi Korhonen (KAU, Sweden)

  • 12:40 pm - 2:00 pm Lunch Break

    Location: InterContinental, Pre-Function Area

  • 2:00 pm - 3:15 pm Session III: Mobility

    Location: InterContinental, Ballroom I

  • 2:00 pm - 2:25 pm

    Adaptive Multiple Non-negative Matrix Factorization for Temporal Link Prediction in Dynamic Networks

    Kai Lei, Meng Qin (PKU, China), Bo Bai, Gong Zhang (Huawei, China)

  • 2:25 pm - 2:50 pm

    Tracking Groups in Mobile Network Traces

    Kun Tu (UMass, USA), Bruno Ribeiro (Purdue, USA), Ananthram Swami (ARL, USA), Don Towsley (UMass, USA)

  • 2:50 pm - 3:15 pm

    Wireless Optimisation via Convex Bandits: Unlicensed LTE/WiFi Coexistence

    Cristina Cano (UOC, Spain), Gergely Neu (UPF, Spain)

  • 3:15 pm - 3:45 pm Tea/Coffee Break

    Location: InterContinental, Pre-Function Area

  • 3:45 pm - 5:00 pm Session IV: Caching, Forwarding and TCP

    Location: InterContinental, Ballroom I

  • 3:45 pm - 4:10 pm

    DeepCache: A Deep Learning Based Framework For Content Caching

    Arvind Narayanan, Saurabh Verma, Eman Ramadan, Pariya Babaie, Zhi-Li Zhang (UMN, USA)

  • 4:10 pm - 4:35 pm

    IFS-RL: An Intelligent Forwarding Strategy Based on Reinforcement Learning in Named-Data Networking

    Yi Zhang (PKU, China), Bo Bai (Huawei, China), Kuai Xu (ASU, USA), Kai Lei (PKU, China)

  • 4:35 pm - 5:00 pm

    Improving TCP Congestion Control with Machine Intelligence

    Yiming Kong (Georgia Tech, USA), Hui Zang (FutureWei, USA), Xiaoli Ma (Georgia Tech, USA)

  • 5:00 pm - 5:05 pm Mini-Break

    Location: InterContinental, Pre-Function Area

  • 5:05 pm - 5:55 pm Session V: Measurements II

    Location: InterContinental, Ballroom I

  • 5:05 pm - 5:30 pm

    Deep-Q: Traffic-driven QoS Inference using Deep Generative Network

    Shihan Xiao, Dongdong He, Zhibo Gong (Huawei, China)

  • 5:30 pm - 5:55 pm

    Assessing the Impact of Network Events with User Feedback

    Shobha Venkataraman, Jia Wang (AT&T, USA)

  • 5:55 pm - 6:00 pm Closing

    Location: InterContinental, Ballroom I


Distributed processing systems for Artificial Intelligence (AI) and Machine Learning (ML), such as Hadoop, Spark, Storm, GraphLab, TensorFlow etc., are widely used by industry. On the one hand, networking is a well-known bottleneck for AI & ML systems. For example, traffic patterns experienced by ML applications during training can be optimized using techniques such as parameter servers and vertex-cut for graphs. New technologies are also being embedded in the network; examples include RDMA over converged Ethernet (RoCE) and GPU direct. On the other hand, the ever increasing complexity of networks makes effective monitoring, modeling, auditing, and overall control of network traffic difficult if not impossible. Hence there is a need for more powerful methods to solve the challenges faced in network design, deployment, and management. AI & ML have been successfully applied to various perceptual domains, including computer vision, natural language processing, and voice recognition. In addition, ML techniques are showing impressive results in new domains such as medicine, finance and astronomy, to name a few. This success in non-perceptual domains suggests that ML techniques could be successfully applied to problems in the network space. The networking community should look upon all these challenges as their opportunities in the Machine Learning era.

Call for Papers

NetAI 2018 provides a venue for presenting innovative ideas to discuss future research agendas in computer networking of/by/for AI & ML systems. We look for submissions of previously unpublished work on topics including, but not limited to, the following:

  • telemetry in DC
  • network measurement
  • closed loop control
  • AI & ML algorithm for network scheduling and control
  • self learning network architecture and system
  • services identify with AI & ML
  • traffic engineer with AI & ML
  • congestion control based on AI & ML
  • network security based on AI & ML
  • network verification
  • network QoS based on AI & ML
  • measurement and analysis of network traffic for AI & ML systems
  • optimizing AI & ML systems with new networking options (e.g., RDMA, NVLink)
  • AI & ML application-driven networking optimization (e.g., MPI offload)
  • networking AI & ML computation with large-scale storage technologies (e.g., NVMe over Fabric, FCoE)
  • networking for distributed ML systems
  • networking for large-scale distributed graph processing systems
  • new network functionality for AI & ML system ( e.g., computation in network )
  • application-driven network architecture design


  • Balaji Prabhakar

    Stanford, USA

  • Chuanxiong Guo

    ByteDance, China

Submission Instructions

Submission implies the willingness of at least one author to attend the workshop and present the paper. Accepted papers will be included in the ACM SIGCOMM conference proceedings. Workshop organizers reserve the right to exclude a paper from distribution after the workshop if the paper is not presented at the conference. Submitted papers should contain original material that have not be previously published, nor currently submitted for consideration elsewhere. All submissions should be written in English, with a maximum length limit of 6 printed pages, including all the figures, references and appendices. The ACM SIGCOMM LaTeX and Microsoft Word templates, as well as related information, can be found at the ACM SIG Proceedings website.

Specifically, please note the following format requirements:

  • All papers submitted will be peer-reviewed (single-blind) and evaluated based on their suitability (i.e., within the workshop scope), novelty, and merit.
  • All papers must be submitted in Portable Document Format (PDF) electronically. Whatever text processor or formatter you use to write your paper (LaTeX, Microsoft Word, FrameMaker, etc.), please convert the output to PDF before submission.
  • Submissions must be limited to 6 pages, single-spaced, double-column, with each column 9.25” by 3.33”, 0.33” space between columns, use at least a 10pt font, and be correctly formatted to be printed on letter-sized (8.5” by 11”) paper. Submissions that violate the formatting requirements may not be reviewed.
  • We must be able to print your paper once it is submitted. Therefore, all fonts used in the paper MUST be embedded in the submitted PDF file.
  • The paper must be in a state where it can be printed clearly on standard black-and-white printers. Reviewers are not required to view your paper in color.

Please submit your paper via

Authors Take Note

The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to TWO WEEKS prior to the first day of the conference. The official publication date affects the deadline for any patent filings related to published work.


Attendance of the workshop is by open registration and subject to the same registration fees and rules as all the other SIGCOMM 2018 workshops. The registrants of the workshop may freely attend any workshop on the same day.

Camera-ready instructions

For the final paper to be published, please refer to Camera-ready instructions for workshops.

Important Dates

  • August 24, 2018


  • Mid-June, 2018

    List of organization details

  • Mid-June, 2018

    Program available online

  • June 10, 2018

    Camera-ready deadline

  • May 07, 2018

    Paper acceptance notification

  • April 07, 2018

    Submission deadline


  • General Chairs
  • Jon Crowcroft

    Cambridge, UK

  • Nicholas Zhang

    Huawei, China

  • Program Committee Chairs
  • Marco Canini


  • Chen Tian

    NJU, China

  • Program Committee Members
  • Rocky Chang

    PolyU, China

  • Hanhua Chen

    HUST, China

  • Jon Crowcroft

    Cambridge, UK

  • Lixin Gao

    UMass, USA

  • Deke Guo

    NUDT, China

  • Qun Huang

    CAS, China

  • Juncheng Jiang

    UChicago, USA

  • David Koll

    GAU, Germany

  • Dan Li

    Tsinghua, China

  • John C.S. Lui

    CUHK, China

  • David Meyer

    Huawei, USA

  • Peter Pietzuch

    Imperial, UK

  • K. K. Ramakrishnan

    UCR, USA

  • Timothy Wood

    GWU, USA

  • Fengyuan Xu

    NJU, China

  • Henry Xu

    CityU, China

  • Eiko Yoneki

    Cambridge, UK

  • Nicholas Zhang

    Huawei, China

  • Ying Zhang

    Facebook, USA

  • Zhi-Li Zhang

    UMN, USA

Contact the NetAIM chairs