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 hardware-enhanced architecture to accelerate data processing and transmission for serverless edge computing. It will also design data-aware and computation-aware orchestration systems to adapt to unique edge conditions and leverage the data acceleration architecture. The university will evaluate the framework through simulations and implementation of a prototype. Outcomes aim to enhance performance of current data-intensive edge functions and facilitate adoption of edge computing for future applications relying on efficient data handling. The grant also supports related graduate training and dissemination of findings.
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