Intel Corporation

Simon Perron Caissy

Carl Geoffrion

Eduardo L Romero

Examples include a computing system having a load balancer circuitry to assign data units to destinations using a hash function having a plurality of hash bins, each hash bin being associated with a destination. The computing system includes a hash adjuster to assign a destination to each of the plurality of hash bins, sample assignment of data units to hash bins by the load balancer circuitry over a sample window, analyze the sampled assignments, and reassign destinations to the hash bins based at least in part on the analyzed sampled assignments. This results in increased system performance in processing of the data units by the load balancer.

Software assisted hashing to improve distribution of a load balancer

Technologies for applying a scrambling function in unfair load balancing scenarios include a network device having a communication circuitry and compute engine executing software on the network device. The compute engine is to determine, using a load balancing function, a distribution for data sets to each of multiple bins. Each bin maps to a destination. The network device determines, as a function of the distribution, an unfairness score indicative of the distribution being unequal among each of the destinations. In response to a determination that the unfairness score exceeds a specified threshold, the network device enables a scrambling function to be performed during configuration of the plurality of bins with the destinations.

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Saint-Constant, Canada

Simon Perron Caissy