ACM SIGCOMM 2020 Workshop on Network Application Integration/CoDesign (NAI 2020)

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Workshop program

Call for Papers

The Internet was designed and launched more than 50 years ago to satisfy yet unforeseen applications. The Internet's adaptation and scalability have been proved remarkably successful over the years. Today, more than 4 billion users (half of the global population) and 20 billion devices are online — the exponential growth of the connected people and devices are expected to continue over the next years.

However, the general-purpose and best-effort model of the Internet is challenged due to the ever-growing demand for more complex applications with stricter application-specific requirements. How can we deliver 4k videos to everybody (including the rest 4 billion people)? How can we ensure ultra low latency for applications such as self-driving cars and cloud gaming? How do we support high-bandwidth, low latency applications such as AR, VR, and holographic communications? How can we guarantee 100% service availability? How can we enable innovation at the edges for the next wave of 5G and IoT applications?

Network-Application Integration (NAI) can push the boundaries of what can be achieved. The maturing of NAI protocols such as the ALTO protocol, the recent report of large-scale, real implementation and realized benefits of NAI systems such as the Flow Director system, and the recent emergence of new, flexible networking mechanisms such as APN6, PANRG, P4, NPL, INT, and SmartNIC, all make NAI an exciting field for exploration by the core networking community.

In this workshop, we search for contributions to the design principles and real implementations of systems that enable network-application co-design. We will focus on realistic NAI designs, implementations and experiences, and explore both sides of NAI: application-aware networking (AAN) and network-aware application (NAA). Keynotes and a panel will be included to complement more traditional paper sessions, to set the research agenda, debate the issues, and share the most recent progress.

Topics of Interest

• Network abstraction models
• Multi-domain network abstraction and coordination
• Network abstraction from network state
• Network exposure of information and control interfaces
• Data collection (e.g., measurement) for network abstraction
• Data processing techniques to generate network abstraction (e.g., low level, filtering)
• Validation of network abstractions (e.g., conforming to model)
• Privacy analysis of network information exposure
• Economical/game theoretical analysis of network information/service exposure
• Stability design and analysis of application-network (close-loop) control
• Optimality design and analysis of application-network (close-loop) control
• Control with multiple dimension constraints (privacy, policy, beyond networking)
• Co-design for specialized apps (e.g., video, ML, IoT)
• Wide-area data analytics
• Experience and deployment of application-network integration
• Application adaptation to network information/service models

Submission Instructions

Submissions must be original, unpublished work, and not under consideration at another conference or journal. Experience papers are welcome. Submitted papers must be at most six (6) pages long, including all figures, tables, references, and appendices in a two-column 10pt ACM format. Papers must include the authors' names and affiliations for single-blind peer reviewing by the PC. Authors of accepted papers are expected to present their papers at the workshop. Please submit your paper via https://nai20.hotcrp.com.

Important Dates

• Submission deadline

  May 10, 2020

• Acceptance notification

  Jun 2, 2020

• Camera-ready deadline

  June 10, 2020

• Workshop program

  August 14, 2020

Committees

• General Chairs

• Anja Feldmann

  Max Planck Institute for Informatics

• Georgios Smaragdakis

  TU Berlin

• Y. Richard Yang

  Yale University

• Program Committee

• Mostafa Ammar

  Georgia Tech

• Farni Boten

  Sprint

• Fabián E. Bustamante

  Northwestern University

• Luis M. Contreras

  Telefonica

• Anja Feldmann

  Max Planck Institute for Informatics

• Kai Gao

  Sichuan University

• Oliver Holschke

  Deutsche Telekom

• Ethan Katz-Bassett

  Columbia

• Zhenbin Li

  Huawei

• Borje Ohlman

  Ericsson

• Ingmar Poese

  Benocs

• Sabine Randriamasy

  Bell Labs

• Christian Rothenberg

  University of Campinas

• Jan Seedorf

  HFT Stuttgart

• Avi Silberschatz

  Yale University

• Georgios Smaragdakis

  TU Berlin

• Robert Soulé

  Yale University

• Jia Wang

  AT&T

• Yi Wang

  SUSTech

• Qiao Xiang

  Yale University

• Y. Richard Yang

  Yale University

• Ying Zhang

  Facebook

• Yunfei Zhang

  Tencent