Networking Technology and Systems
Sector: Broadband • Location: United States of America
Source: Grants.gov
The Division of Computer and Network Systems (CNS) supports research and education activities that invent new computing and networking technologies and that explore new ways to make use of existing technologies. The Division seeks to develop a better understanding of the fundamental properties of computer and network systems and to create better abstractions and tools for designing, building, anal
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | archived |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The Division of Computer and Network Systems (CNS) supports research and education activities that invent new computing and networking technologies and that explore new ways to make use of existing technologies. The Division seeks to develop a better understanding of the fundamental properties of computer and network systems and to create better abstractions and tools for designing, building, analyzing, and measuring future systems. The Networking Technology and Systems (NeTS) program supports transformative research on fundamental scientific and technological advances leading to the development of future-generation, high-performance networks and future Internet architectures.Under this umbrella, the National Science Foundation (NSF) and the National Institute of Information and Communications Technology (NICT) of Japan have agreed to embark on a collaborative research program to address compelling research challenges that arise from networks supporting future demands of device proliferation and data objects. This NSF solicitation parallels an equivalent NICT solicitation. Proposals submitted under this solicitation must describe joint research with Japanese counterparts who are requesting funding separately under the NICT solicitation.This research and development program addresses three specific challenges that arise when environments with trillions of device and information objects are connected via networks. Trillions of network-connected objects are expected to emerge in the global network around 2020. This trend will require novel approaches for network design and modeling, new technologies to manage and control object mobility, and new and more flexible networks with the speed, capacity and environmental characteristics needed to accommodate communications among objects in the emerging world.This program seeks joint Japan-US research projects that leverage each nation's expertise and address these challenges via work in three areas:1. Network Design and Modeling: Addressing the design, modeling and component interaction challenges associated with increasingly dynamic and heterogeneous network technologies and applications at scale.2. Mobility: Addressing issues such as security, control, provisioning, naming, discovery, and fast mobility in a world in which mobility is driven by factors such as social networks, the Internet of things, and cyber-physical systems.3. Optical Networking: Finding novel approaches for sustainable high‐speed, high‐capacity, and energy-efficient networks that will accommodate communications required in "beyond trillions of devices and information objects" situations. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
