The document discusses a new load balancing technique for public clouds called cloud partitioning with load balancing. It proposes dividing a large public cloud into partitions to simplify load balancing. When a job arrives, a cloud controller first chooses a suitable partition for the job. Then a load balancer for that partition selects the best node to allocate the job to. The technique aims to distribute workload evenly across nodes while avoiding overloading any single node. It is intended for use in large, complex public clouds with many distributed nodes.