The recordings (eight videos) were removed from NIST's video hosting and are currently lost. If you have a copy, please get in touch.
Select a talk to read its abstract.
Chair: Lotfi Benmohamed · NIST
Chair: Tamer Refaei · MITRE
Chair: Alex Afanasyev · Florida International University
Chair: Lan Wang · University of Memphis
Chair: Lotfi Benmohamed · NIST
Chair: Beichuan Zhang · University of Arizona
Moderator: Christian Tschudin · University of Basel
Application developments play a fundamental role in driving NDN's architectural design and development. They help validate architectural design decisions, identify remaining issue, and drive the NDN rollout.
This panel aims to: 1. assess the existing tools developed in recent years that promote NDN app development (comment: make people aware of what's, or soon to be, available) 2. What still hard? identify and prioritize remaining issues, and 3. explore new application areas that may benefit most from NDN's new architectural features as compared to TCP/IP.
Moderator: Lan Wang · University of Memphis
The amount of data generated by individuals and businesses have been growing exponentially. An IDC report “The Digital Universe in 2020” projects that, by 2020, there will be around 40 zettabytes of data.
Domain experts have been collecting and analyzing ever growing data sets to derive insights from the data, but they face the challenges of individually building their own systems or developing their own solutions to handle big data. As of now, most people develop big data applications based on commercially available cloud services, which provide a logical central place for storage and processing but do not address some of the very fundamental problems, including: • unstructured data collections that are difficult to navigate; • lack of systematic solutions to security and privacy when data is outside the cloud, and lack of auditability when the data is inside the cloud; and • the need to deal with lower layer details for storing, transferring, and processing data.
We believe that harnessing the big data revolution will require a big data ecosystem that enables data sharing across the boundaries of different vendors, different providers, and different applications. Our 9-year research efforts on the design and development of Named Data Networking (NDN) project also convince us that we can develop this big data ecosystem by taking on a data-centric design approach. The goal of this panel is to • understand the requirements of big data application in specific domains, and • examine the problems from multiple diverse domains to identify potential common application patterns, common needs and requirements.
The panel will steer the discussion toward formulate a common big data ecosystem framework that supports the management of data through its life cycle, starting from data production, naming and securing data at the production time, to structured data storage and scalable retrieval, and to controlled data consumption.
Chair: Eric Osterweil · George Mason University
Chair: Ken Calvert · NSF
Chair: Jeff Burke · UCLA REMAP
Captions will be available by September 14, 2019.
Named Data Networking Community Meeting 2019 will be hosted by the National Institute of Standards and Technology (NIST) on September 5 and 6, 2019. The organizing committee cordially invites you to participate in and contribute to the event!
NDNComm is an annual event that brings together a large community of researchers from academia, industry, and government, as well as users and other parties interested in the development of Named Data Networking (NDN) technology. NDN is an architectural realization of the broad Information Centric Networking (ICN) vision that enables communications by named, secured data at the network layer. By aligning the network service with application needs, NDN offers many advantages, including stronger security and trustworthiness, enhanced network usability, as well as scalability and resiliency in network communication. In particular, NDN is especially suitable for emerging network environments such as edge computing and Internet of Things (IoT).
NDNcomm provides a community forum to discuss the state of NDN protocols, software, testbed, and its application to various network environments. While the topics cover all aspects of NDN, this year we are particularly interested in new ideas and recent or ongoing progress on NDN in edge computing and IoT. We invite submissions from the broader NDN community for presentations, posters, demos, and panels on topics including but not limited to:
Submission Instructions
Submissions should be one page abstract in PDF format containing the title, authors and an abstract. The title should start with “Presentation:”, “Poster:”, “Demo:” or “Panel:”. Please submit your abstract at this site: https://ndncomm2019.named-data.net/
Update: Submissions should be made by July 31, 2019 and acceptance notifications will be sent out on a rolling basis. Please note that we plan to keep the submission site open until August 20, 2019; however, late submissions will only be accommodated if feasible. An abstract submission is not required for participation in NDNcomm 2019.
NDNcomm 2019 Co-Chairs: Alex Afanasyev (FIU), Lotfi Benmohamed (NIST) , Tamer Refaei (MITRE)
Agenda (PDF) Updated 9/5.
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