The University of Texas at Arlington received a three-year, $599,953 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program to develop a distributed, scalable end-to-end tail latency service level objective guaranteed resource management framework for microservices. The framework, called DETAGEM, aims to establish a theoretical foundation and comprehensive solution for resource allocation that guarantees per-query tail latency SLOs in...
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...
This Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program provides $599,998 to Purdue University to conduct research aimed at substantially reducing wireless communication latency. The project will first characterize the drawbacks of the traditional block-coding architecture, and then design new non-block-coding solutions to lower latency beyond what is typically achievable. This multi-pronged approach will minimize...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program grant award totaling $117,465 to Tufts University will fund the development of a novel tracing platform to improve microservices observability in cloud-based software systems. The project aims to automatically enrich distributed tracing data with concurrency and data loss primitives, enabling enhanced performance debugging, resource allocation, and auto-scaling capabilities. The 5-year...
This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering program (CFDA 47.070) provides $600,000 in funding to The Trustees of Princeton University's Office of Research and Project Administration to develop innovative technologies for fine-grained network monitoring. The key objectives are to create a software component called a Telemetry Imputation Layer (TIL) that can recover detailed network performance data from limited sampling,...
This four-year, $1.2 million Project Grant from the National Science Foundation's Division of Computer and Network Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), will support the design and deployment of customized congestion control algorithms to enhance internet application performance. Specifically, the awardee, Carnegie Mellon University, will develop an ultra-low latency congestion control algorithm tailored for online video games using...
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...
This federal Project Grant award, with a total funding amount of $225,537, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant aims to develop methods and techniques to preserve time predictability in real-time computing systems, even when traditionally predictable aspects become unpredictable due to the integration of artificial intelligence (AI) and high-performance computing (HPC) advancements. The...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $549,999 to the University of North Texas to develop a time-sensitive large model training platform for dynamic data analytics. The key goals are to: Automate the parallelization of large model training to minimize latency, Progressively grow pre-trained small models during fine-tuning to reduce training iterations, and Validate the platform's...
This three-year Project Grant from the National Science Foundation's Division of Computer and Network Systems, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), provides $150,000 to the International Computer Science Institute to support research on real-time liquid wireless networking for data-intensive rural applications. Specifically, the award will fund the investigation and development of a real-time liquid wireless networking framework to...