Meta's Rebalancer tutorial shows task placement with local search and HiGHS

A tutorial implements Meta's Rebalancer 1.0.4, with a C++ core and Python binding, for task placement and optimization. It compares local search with the exact HiGHS mixed-integer solver on toy models, synthetic clusters, and 60 OR-Library instances.

The author checks each plan by recounting the returned assignment, because in 14 of 24 solves the solved flag read True while memory stayed over capacity.