Singh studying distributed computing models and algorithms for pervasive systems
2024-01-08
(Press-News.org)
Gurdip Singh, Divisional Dean, School of Computing, received funding from the National Science Foundation for the project: "EAGER: Distributed Computing Models and Algorithms for Pervasive Systems."
The goal of this project is to extend the traditional graph-based distributed computing models and algorithms to develop a unified model to study cyber-physical systems. The unified models will capture interactions between the physical and cyber entities and the physical phenomena. This project also proposes to develop techniques to design distributed algorithms for fundamental problems related to event ordering, state recording and data consistency in pervasive distributed systems applications. These techniques will be used to develop algorithms for coordination and cooperation in pervasive systems, and ensure that algorithms can perform reliably in environments where physical entities may behave unpredictably. The proposed model will be integrated into existing simulation tools to enable evaluation of scenarios involving different types of physical entities and physical phenomena.
Singh received $258,526 from NSF for this research. Funding began in Dec. 2023 and will end in late Nov. 2025.
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[Press-News.org] Singh studying distributed computing models and algorithms for pervasive systems
