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Time-varying scheduling

Google Research | In Edition 21,

The call on this one

WATCHif you schedule batch jobs on cloud

SOURCE Google Research, Scheduling in a changing world: Maximizing throughput with time-varying capacity

Google Research introduced the first constant-factor approximation algorithms for non-preemptive throughput maximization under time-varying capacity, with a 1/2-approximation offline and a 1/11 competitive ratio online with common deadlines.

Added to The Deploy Log , updated . Read Edition 21, the edition that carried it.

18 rows from Google Research in The Deploy Log are dated on or before this one, this one included.

The same day from Google Research: DialogLab (0 days apart). After it: SpeciesNet wildlife identification, 21 days later.

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