From Computerworld Australia comes news that researchers at the University of Sydney have developed (and, sadly, patented) an algorithm that its inventors say will schedule jobs in a way that reduces ...

Abstract: The efficient scheduling of heterogeneous jobs in big data platforms is a challenging task, since a huge number of jobs need to be executed on demand. Current research on job scheduling in ...

Research-ready implementation of reinforcement learning algorithms for job scheduling optimization. This project demonstrates state-of-the-art RL techniques applied to realistic scheduling problems ...

Abstract: With the proposal of “double carbon” goal, people have more and more research on microgrid. By studying the grid-connected operation of microgrid, a microgrid system including photovoltaic, ...