Skip to content

Latest commit

 

History

History
117 lines (77 loc) · 9.24 KB

tutorial-ndn.md

File metadata and controls

117 lines (77 loc) · 9.24 KB
layout title group data presenters
default
ACM SIGCOMM 2017 Tutorial (Half-Day): Named Data Networking (NDN) Tutorial
Tutorials
type time room
day
Monday, August 21, 2017
Shannon Room (Engineering IV)
title type time
Welcome and Introduction
tutorial
9:00am - 9:05am
title type time
NDN Architecture (Van Jacobson)
tutorial
9:05am - 10:30am
title type time room
Coffee Break
break
10:30am - 11:00am
Foyer
title type time
NDN Research (NDN project team)
tutorial
11am - 12:30am
name affiliation bio
Alexander Afanasyev
Florida International University
<p>Alexander Afanasyev is Assistant Professor in Florida International University, Miami. He received his Ph.D. degree in computer science from UCLA in 2013. His research focus is on the next-generation Internet architecture as part of the Named Data Networking (NDN) project. His research interests include a variety of topics that are vital for the success of NDN, including scalability of name-based routing, auto-configuration, distributed data synchronization, application and network security. Dr. Afanasyev is also leading the development effort of the overall NDN codebase.</p>
name affiliation bio
Jeff Burke
UCLA School of Theater, Film and Television (TFT)
<p>Jeff Burke is Assistant Dean for Technology and Innovation at the UCLA School of Theater, Film and Television (TFT), where he has been a faculty member since 2001. His research explores the intersections of the built environment, computer networks, and storytelling. He has produced, managed, programmed, and designed performances, short films, new genre art installations and new facility construction internationally for over fifteen years, incorporating emerging technologies as part of these projects and creative works. Burke co-founded REMAP, a joint center of TFT and the Henry Samueli School of Engineering and Applied Science, which uses a mixture of research, artistic production, and community engagement to investigate the interrelationships among culture, community, and technology. From 2006-2012, Burke was the area lead for participatory sensing at the NSF Center for Embedded Networked Sensing (CENS). He is Co-PI and application team lead for the Named Data Networking research project. </p>
name affiliation bio
Patrick Crowley
Washington University in St. Louis
<p>Patrick Crowley is Professor of Computer Science & Engineering at Washington University in St. Louis, where he directs the Applied Research Lab. He is also founder and CTO of Observable Networks, a cloud-native network security company. His research interests are in computer and network systems architecture, with a current focus on information-centric networking, programmable network systems design, and the invention of superior network monitoring and security techniques.</p>
name affiliation bio
Van Jacobson
University of California, Los Angeles / Google
<p>Van Jacobson has been a long-term contributor to the Internet. His algorithms for the Transmission Control Protocol (TCP) saved Internet from congestion collapse in 1980's and are used by over 90% of Internet hosts today. He developed the blueprint of Named Data Networking (NDN) 10 years ago and continues to serve as the NDN architect.</p>
name affiliation bio
Beichuan Zhang
University of Arizona
<p>Beichuan Zhang is Associate Professor at the Department of Computer Science, the University of Arizona. His research interest is in Internet routing architectures and protocols. He has been working on Named Data Networking, green networking, and inter-domain routing. He received the Applied Networking Research Prize in 2011 by ISOC and IRTF, and best paper awards at IEEE ICDCS in 2005 and IWQoS in 2014. Dr. Zhang received Ph.D. from UCLA and B.S. from Peking University.</p>
name affiliation bio
Lixia Zhang
University of California, Los Angeles
<p>Lixia Zhang is Professor in the Computer Science Department of UCLA. She received her Ph.D in computer science from MIT and was a member of the research staff at Xerox PARC before joining UCLA. She is a fellow of ACM and IEEE, the recipient of IEEE Internet Award, and the holder of UCLA Postel Chair in Computer Science. Since 2010 she has been leading the effort on the design and development of the NDN architecture.</p>

{{ page.title }}

Call For Participation

This half-day SIGCOMM tutorial provides an introduction to Named Data Networking (NDN), a newly developed data-centric Internet architecture. NDN makes a conceptually simple yet fundamental change to the narrow waist of the Internet's narrow waist architecture by replaces TCP/IP's narrow focus on "where" to send packet with "what" content to fetch. We believe that this shift to data-centric networking can greatly help enhance Internet security, enable mobility support, scale both data disseminations as well as data collection (e.g., from IoT devices), as well as facilitate new application developments.

The morning starts with an introduction of the NDN architecture by Van Jacobson, followed by research topics and recent results. For more detailed information about the tutorial and additional activities, please check out NDN Tutorial homepage

Presenters

{% include presenters.html presenters=page.presenters %}

Tutorial Program

Tutorial slides and videos:

  1. NDN – Why Bother? (Van Jacobson)

  2. NDN Research (Beichuan Zhang) (Slides)

  3. NDN Codebase and Development (Alex Afanasyev) (Slides)

  4. NDN Demos I: ONL, Testbed (John DeHart) (Slides)

  5. NDN Demos II: Cloud-optional Home IoT (Jeff Burke, Yanbiao Li) (Slides)

  6. NDN Demos III: NDNHealth (Jeff Burke, Haitao Zhang)

  7. Wrap-up (Lixia Zhang)

{% include program.html type="tutorial-ndn" data=page.data %}

Note this tutorial has a companion afternoon program with the description of what have been accomplished so far using IoT and global-scale demonstrations. See more on NDN Tutorial homepage

Motivation

This half-day tutorial aims to provide a comprehensive overview of Named Data Networking (NDN), a newly developed Internet architecture. NDN replaces TCP/IP architecture's focus on "where", i.e., the addresses and hosts, with "what", i.e., the content that users and applications care about. This fundamental shift brings profound impacts to enhancing Internet security, enabling mobility support, scaling both data disseminations as well as data collection (e.g., from IoT devices), and facilitating new application development.

Launched in 2010 under the NSF's Future Internet Architecture program, the NDN project has attracted researchers from both academia and industry around the world to explore all aspects of its design, implementation, and applications. It is arguably the most prominent inspiration and realization of the Information-Centric Networking (ICN) vision, around which a growing research community has formed over the past several years.

Together with an increasing interests in NDN, there are also a number of questions as well as misconceptions regarding NDN. This tutorial aims to bring NDN to the broader networking community by explaining NDN's basic architectural concepts, articulating research issues, demonstrating NDN operations and applications, and introducing its open-source code development. We expect the tutorial to benefit network researchers and students with different levels of background knowledge on NDN/ICN, from people who want to learn what NDN really is, to people who are looking for new topics to explore, or for ways to contribute to NDN design and development.

The tutorial will start with an introduction to the NDN architecture by Van Jacobson, followed by an overview of the NDN research topics and recent results by the NDN project team researchers.

Topics Include

  • Introduction of the basic concepts, fundamental principles, key mechanisms, and articulation on how to take NDN to the next stage.

  • Survey on existing NDN research work, with emphasis on research challenges and recent results, including

    • Routing
    • Forwarding
    • Caching
    • Mobility
    • Security
    • Applications

Expected Audience and Prerequisites

This tutorial targets the general networking research community with no specific prerequisite. We expect the tutorial to benefit network researchers and students with different levels of background knowledge on NDN/ICN, from people who want to learn what NDN really is, to people who are looking for new topics to explore, or for ways to contribute to NDN design and development.