This three-year, $450,000 Project Grant from the National Science Foundation's Division of Computer and Network Systems, under the Computer and Information Science and Engineering program, will support research to develop high-performance network stack technologies optimized for edge computing environments. The grant recipients, researchers at the Massachusetts Institute of Technology, will pursue a software/hardware co-design approach to reduce resource scheduling and state management...
The National Science Foundation Division of Computer and Network Systems awarded a $150,000 Project Grant to the Georgia TECH Research Corporation Office Of Sponsored Programs to support the "EDGE COMPUTING FOR BRINGING SMART SERVICES TO UNDER-SERVED URBAN COMMUNITIES" project. The award period is from October 1, 2021 to September 30, 2022. The project aims to advance the development and use of edge computing technologies to enable and accelerate the delivery of smart services for...
This three-year Project Grant from the National Science Foundation's Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $600,000 to Stony Brook University to develop a high-performance serverless edge computing framework for data-intensive applications. The university will conduct interrelated research tasks to address challenges in building this framework at the network edge, including developing a...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of an end-to-end software system architecture for latency-sensitive situation awareness applications using the Function-as-a-Service (FaaS) paradigm on geo-distributed edge infrastructure. Specifically, the $599,851 award to the Georgia Tech Research Corporation aims to create programming idioms, runtime machinery, software...
The National Science Foundation awarded a $439,202 Project Grant to the Georgia Tech Research Corporation from July 2021 through June 2024 under the Computer and Information Science and Engineering program (CFDA 47.070). The grant funds research on addressing data locality issues and developing modern algorithms for load balancing in cloud networks. As part of its mission to support investigator-initiated research and education in computing and information science fields, the NSF program aims to...
The National Science Foundation (NSF) Division of Computer and Network Systems awarded a $600,000 Project Grant to the University of California, Santa Cruz (UCSC) under the CFDA program "Computer and Information Science and Engineering" (47.070). The grant supports the development of a next-generation serverless edge computing engine that enables distributed edge applications like data analytics, edge AI, and media streaming to run efficiently at the edge through the...
The National Science Foundation awarded a $715,369 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) to the Georgia Tech Research Corporation from October 1, 2022 to September 30, 2027. The grant will support research to develop scalable design methodologies for distributed edge-cloud systems to enable multi-party augmented, virtual and mixed reality experiences. Key products will include innovations across the system stack to improve quality of...
This $129,887 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) will fund the development of a new edge-IoT framework called DeepEdge at George Mason University from October 2022 through September 2023. DeepEdge will use deep online learning to allocate resources for heterogeneous IoT applications and dynamic devices across geographically distributed edge clouds. It aims to maximize users' quality of experience. Key...
This $1,139,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop innovative dataflow processors that can enhance the energy efficiency and security of edge computing systems. The key technical innovations include a parallel dataflow representation of programs and a simplified, scalable spatial architecture for dataflow processors. The research will be conducted by a diverse team at...
This three-year National Science Foundation project grant of $650,100 supports research at Kennesaw State University Research and Service Foundation to rethink virtualization approaches for edge computing environments. Funded under the Computer and Information Science and Engineering program, the grant aims to improve performance, predictability, and energy efficiency of virtualized edge systems through a multi-layered collaborative approach. Specifically, the research will examine how...