NDN is a large-scale, collaborative endeavor. This deployment showed how NDN's flexible multipath, multicast data retrieval and request/response model enables robust performance optimization, how its hierarchically structured namespaces incentivize common, domain-wide naming systems, and how its security model and mechanisms simplify the persistent challenge of data integrity and provenance in big data domains. One NDN site (CSU), deployed an 8-node 10GB testbed across ESnet sites around the world, and collaborated with scientists to use NDN to implement a robust and resilient data catalog that allows publishing, search and retrieval of ∼ 100K (as of January 2016) scientific datasets. This unforeseen project constituted our most exciting real-world demonstration thus far of NDN's utility to the NSF-funded scientific research community. In coordination with effort funded under an NSF-CCNIE proposal, we used NDN technology developed under the NDN and NDN-NP projects to facilitate data management in climate and high-energy physics (HEP) applications. We also launched the NDN Consortium 2 as a forum for broader discussion of the research and its implications, including responding to industry priorities and concerns.
Chronosync review 2014 series#
The same year, ACM SIGCOMM established the Information-Centric Network (ICN) conference series to support broader interest in NDN and other ICN-related research efforts. In parallel, interest from the academic, commercial, and government research communities grew rapidly, so much that in 2014 we augmented our annual project retreats with international community meetings to support expanding collaborations . This phase of the project enabled further evolution of the architecture itself - including packet formats, protocol extensions, trust management models, and routing and forwarding algorithms - in tandem with development and refinement of applications that demonstrated its utility. Interest from physicists and climate scientists in applying NDN to some of their persistent data management problems motivated a fourth network environment. In the follow-on NDN-NP project we chose three network environments that required critical thinking about key components of the architecture: mobile health, building automation and management, and multimedia conferencing. Our application-driven focus proved successful. Operators, equipment designers, application developers, users, and policymakers have all struggled with the complexity (and kludges) required to accommodate the inherent misalignment between the TCP/IP architecture and its primary use today. Growth in e-commerce, digital media, social networking, smartphone applications, and the Internet of Things (IoT) has resulted in the Internet primarily being used as an information distribution network. The world has changed dramatically in the last 30 years, driven by the spectacular success of this architecture. While TCP/IP was a unique and ground-breaking architecture, it solved a problem of the telephony world: enabling point-to-point conversations between two communication endpoints. Named Data Networking (NDN) ( ) is a new Internet architecture geared toward addressing the Internet's most pressing problems in security, management complexity, and sustainability, and meeting requirements of current and emerging applications .
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