Helen Shen ECE professor Haiying 'Helen' Shen has received a two-year, $200,000 grant from NSF’s EAGER program for her project, “A Scalable and Efficient Resource Discovery System for Large-Scale Distributed Systems.” The proposed project replaces current resource discovery systems with peer-to-peer (P2P)-based systems with innovative resource discovery methods to help in achieving scalable and efficient resource search in large-scale distributed systems.
Scalable and efficient resource discovery for resource sharing over distributed systems are essential for the development of a new generation of large-scale distributed systems, in which globally-scattered nodes with varying storage, bandwidth, computing and data resources collaborate for unprecedented petascale supercomputing for a variety of applications. However, current resource discovery systems are not sufficiently scalable nor adequately efficient for these large-scale distributed systems.
Shen and her research group will conduct early exploratory research on resource discovery methods that can provide scalable and efficient resource search service in large-scale distributed systems. The project will provide critical insight into resource discovery within large-scale distributed systems, which is expected to significantly impact a variety of commonly used large-scale distributed applications. This preliminary work will lay a foundation for further research on exploring a scalable and efficient resource discovery system, and serve the community of distributed computing as a vehicle for conducting further research and experiments.
NSF's Early-concept Grants for Exploratory Research (EAGER) funding mechanism is used to support exploratory work in its early stages on untested, but potentially transformative, research ideas or approaches. This work could be considered especially "high risk-high payoff" in the sense that it, involves radically different approaches, applies new expertise, or engages novel disciplinary or interdisciplinary perspectives.
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