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Minimize RSR Award Detail

Research Spending & Results

Award Detail

Awardee:UNIVERSITY OF CALIFORNIA, DAVIS
Doing Business As Name:University of California-Davis
PD/PI:
  • Zubair Shafiq
  • (517) 974-2586
  • zubair@ucdavis.edu
Award Date:01/15/2021
Estimated Total Award Amount: $ 500,000
Funds Obligated to Date: $ 288,819
  • FY 2018=$89,289
  • FY 2019=$97,028
  • FY 2020=$102,502
Start Date:10/01/2020
End Date:07/31/2023
Transaction Type:Grant
Agency:NSF
Awarding Agency Code:4900
Funding Agency Code:4900
CFDA Number:47.070
Primary Program Source:040100 NSF RESEARCH & RELATED ACTIVIT
Award Title or Description:CAREER: Quality of Experience and Network Management in the Encrypted Internet
Federal Award ID Number:2103038
DUNS ID:047120084
Parent DUNS ID:071549000
Program:Networking Technology and Syst
Program Officer:
  • Darleen Fisher
  • (703) 292-8950
  • dlfisher@nsf.gov

Awardee Location

Street:OR/Sponsored Programs
City:Davis
State:CA
ZIP:95618-6134
County:Davis
Country:US
Awardee Cong. District:03

Primary Place of Performance

Organization Name:University of California-Davis
Street:
City:
State:CA
ZIP:95618-6134
County:Davis
Country:US
Cong. District:03

Abstract at Time of Award

While encryption is essential for security and privacy, it limits the ability of content providers (e.g. Netflix and YouTube) and mobile network operators (e.g. AT&T and Verizon) to effectively and efficiently deliver content to users. First, encryption limits the ability of content providers to maintain effective control over modern applications such as augmented reality or virtual reality (AR/VR) video streaming. Second, encryption limits the ability of mobile network operators to efficiently share the scarce radio spectrum among their many users. These issues can significantly degrade users' Quality of Experience (or QoE). The goal of this project is to improve QoE of modern applications in the increasingly encrypted Internet. This project will investigate implicit and explicit cooperation between network operators and content providers for QoE and network management in the encrypted Internet. First, the project will investigate implicit cooperation between network operators and content providers through machine learning based analysis of encrypted traffic. Second, the project will investigate in-band and out-of-band protocols and API frameworks for explicit information exchange between network operators and content providers. The project investigates a spectrum of innovative approaches for cooperative QoE and network management, ranging from clean slate approaches to the ones that are backward compatible and incrementally deployable. The proposed research will help improve Internet experience of modern high-throughput low-delay applications such as AR/VR video streaming, especially for users in underserved areas with poor Internet connectivity. The project will also engage undergraduates and under-represented minority students. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

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