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3 Advanced Network Technologies Division
Pages 16-22

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From page 16...
... has four major project areas: Network Resilience, Cloud Computing, Internet of Things, and Future Network Technologies. The ANTD's projects include testing methodology of indoor localization and tracking systems, wireless networks, wireless networking specifically for smart manufacturing, network resilience, robust interdomain routing, high-assurance domains, measurement for complex systems, a distributed algorithm for suppressing epidemic spread in networks, the NIST cloud computing program, software-defined networks and virtual networks, and information-centric networking.
From page 17...
... The ANTD could proceed as a technology facilitator by utilizing the existing channel measurements and models, developed over the last several decades, and by identifying key technological components to form a framework and reference model, which would help industrial and academic developers to contribute technological innovations toward standards. This would help secure a leading role for the United States in smart manufacturing technologies.
From page 18...
... model has been initially applied to develop a distributed algorithm suppressing epidemic spread in a connected network. Among widely scattered research outcomes in this multidisciplinary research, the ultimate goal and targeting applications of this project need to be identified by the ANTD in more realistic networking structures and operating network protocols.
From page 19...
... ITL needs to leverage current efforts to explore commercially promising technologies such as mobile edge computing. Smart Grid Project ANTD staff members have published two papers that reflect the division's activities relating to the Smart Grid, in IEEE Transactions on Smart Grid in 20158 and in Proceedings of the IEEE in 2017.9 8 H
From page 20...
... Anonymization may be important; most current data sets are either maintained in academia or are occasionally released by companies. The PerFloc data set and competition, developed by the ANTD's Indoor Localization project, is exemplary, and other ANTD projects need to consider hosting data set.
From page 21...
... , and the Internet offer myriad opportunities for doing this. The ITL could profit from looking into studying data sets from ISPs, public clouds, and even private networks, perhaps improving instrumentation and measurement to facilitate data collection.
From page 22...
... Other ANTD projects focus on the creation of data sets. For example, the Indoor Localization project resulted in the PerFloc data sets and competition.


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