Named Data Networking (NDN) Project Newsletter for Summer 2017

The NDN project team compiles and publishes this newsletter periodically to inform the community about recent activities, technical news, meetings, publications, presentations, code releases, and upcoming events. You can find these newsletters posted on the Named Data Networking Project blog.

Awards

• From the NSF/Intel Partnership on Information-Centric Networking in Wireless Edge Networks (ICN-WEN) program:
  • PIs Alex Afanasyev, Jeff Burke, Jason Cong, Mario Gerla, Songwu Lu, Satyajayant Misra, and Lixia Zhang received an award “ICN-Enabled Secure Edge Networking with Augmented Reality (ICE-AR)” aims to develop a new wireless network architecture to address limitations in performance, scalability, and availability and provide pervasive support for emerging applications.
  • PR Kumar, Srinivas Shakkottai and I-Hong Hou (TAMU), Ness Shroff and Atilla Eryilmaz (OSU), Y. Charlie Hu and Elisa Bertino (Purdue), Patrick Crowley (WUSTL), and Romit Roy Choudhury (UIUC) received “SPLICE: Secure Predictive Low-Latency Information Centric Edge for Next Generation Wireless Networks” to design, develop, and demonstrate SPLICE that will provide information guarantees to emerging applications.
• From the NSF CC* Integration program:
  • PIs Edmund Yeh, Harvey Newman, and Christos Papadopoulos received an NSF award for “SANDIE: SDN-Assisted NDN for Data Intensive Experiments” that will develop and deploy SANDIE, a Named Data Networking (NDN) architecture supported by advanced Software Defined Network services for Data Intensive Science, with the Large Hadron Collider (LHC) high energy physics program as the leading use case.

Community Outreach

• The Intel-NSF ICN-WEN Kickoff Workshop was held June 21-22, 2017 in Hilsboro, OR. The workshop hosted an NDN tutorial as well as presentations from project participants. Tutorial videos and presentation slides can be found on the ICN-Enabled Secure Edge Networking with Augmented Reality (ICE-AR) website.
• On Monday August 21, 2017 the NDN team conducted a one-day SIGCOMM tutorial presenting an introduction to the architectural concepts, recent research results, demonstrations of the NDN testbed and a set of NDN applications, introductions to the open-source codebase and code development, experimental tools, NDN emulator, mini-NDN, an NDN simulator, and discussed future development. For more details, please see the NDN tutorials.

NDN Publications, Presentations, and Technical Reports

• Junxiao Shi, Eric Newberry, and Beichuan Zhang, “On Broadcast-based Self-learning in Named Data Networking“, published in IFIP Networking, June 2017 studies how broadcast-based self-learning may be applied to NDN networks.* Mathias Gibbens, Chris Gniady, Lei Ye, and Beichuan Zhang, “Hadoop on Named Data Networking: Experience and Results” published in the Proc. ACM Meas. Anal. Comput. Syst., Vol. 1, No. 1, Article 1. June 2017.
• Jeff Burke, “Browsing an Augmented Reality with Named Data Networking” (Invited Paper) published in the proceedings of IEEE Conference on Computer Communications and Networks (ICCCN) 2017 explores opportunities for an augmented reality web using Named Data Networking (NDN), a proposed future Internet architecture in which the network forwards intrinsically secure data packets directly based on application-defined names. By providing web semantics at packet granularity, NDN enables the success of the web to be pursued for low-latency, high-granularity, and context-dependent media in AR. The paper outlines emerging media types that could be part of a new AR browsing experience, briefly introduces NDN, describes benefits the architecture should provide via an example browser design, and enumerates related open research challenges
• Spyridon Mastorakis, Alexander Afanasyev, Yingdi Yu, Lixia Zhang, “nTorrent: Peer-to-Peer File Sharing in Named Data Networking” published in the proceedings of IEEE Conference on Computer Communications and Networks (ICCCN) 2017 presents the design of nTorrent, a BitTorrent-like application that is based on the natively data-centric NDN network architecture. Through analysis and simulation-based experimentations, the paper exposes impacts of the network-level data-centricity on the design choices, implementation complexity, and protocol operations.
• Alexander Afanasyev, Xiaoke Jiang, Yingdi Yu, Jiewen Tan, Yumin Xia, Allison Mankin, and Lixia Zhang, “NDNS: DNS-like Name Service for NDN“, published in the proceedings of the 26th International Conference on Computer Communications and Networks (ICCCN), July 2017 presents our experience with the design and development of Named Data Networking (NDN) that suggests the need for a similar always-on lookup service. To fulfill this need we have designed the NDNS (NDN DNS) protocol, and learned several interesting lessons through the process. Although DNSs request-response operations seem closely resembling NDNs Interest-Data packet exchanges, they operate at different layers in the protocol stack. Comparing DNS’s implementations over IP protocol stack with NDNSs implementation over NDN reveals several fundamental differences between applications designs for host-centric IP architecture and data-centric NDN architecture.
• Ivan Voitalov, Rodrigo Aldecoa, Lan Wang, Dmitri Krioukov, “Geohyperbolic Routing and Addressing Schemes“, presents an addressing scheme and a coupled network topology design scheme that guarantee essentially optimal routing scalability. ACM SIGCOMM Computer Communications Review, July 2017.
• Spyridon Mastorakis, Alexander Afanasyev, Lixia Zhang, “On the Evolution of ndnSIM: an Open-Source Simulator for NDN Experimentation“, ACM SIGCOMM Computer Communication Review, July 2017” describes the design of ndnSIM and its evolution, and we elaborate on our design decisions and trade-offs. We also discuss the valuable lessons that we have learned throughout the ndnSIM development process.
• Christopher Gibson, Pablo Bermell-Garcia, Kevin Chan, Bongjun Ko, Alex Afanasyev, and Lixia Zhang, “Opportunities and Challenges for Named Data Networking to Increase the Agility of Military Coalitions“, published in the proceedings of Proceedings of Workshop on Distributed Analytics InfraStructure and Algorithms for Multi-Organization Federations (DAIS Workshop), 2017, positions the opportunities and challenges for adopting Named Data Networking (NDN) in the specific context of military coalition operations and tactical networks.
• NDN PIs Lixia Zhang, Beichuan Zhang, and Lan Wang presented talks at the 2017 Future Innovation Centric Forum co-organised by the Peking University Shenzhen Graduate School, Southern University of Science and Technology and the CCF YOCSEF Shenzhen sub-forum, and held in Shenzhen Kirin Villa. “Routing in NDN” by Lan Wang.

NDN Seminars

The NDN seminars are internally focused. If you would like to participate in the NDN Seminars, please contact the PoC, UCLA PhD. candidate Spyridon Mastorakis <Spiros.mastorakis@gmail.com> for the most up-to-date information regarding upcoming seminars.

Related News

• ACM ICN 2017 – 4th ACM Conference on Information-Centric Networking Berlin, Germany on Sep. 26-28, 2017.

For more information about the Named Data Networking (NDN) Project please visit http://www.named-data.net/.

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