Continuously running genetic algorithm for real-time networking device optimization
Amit Mandelbaum, Doron Haritan, Natali Shechtman · Proceedings of the Genetic and Evolutionary Computation Conference · 2021
Networking devices deployed in ultra-scale data centers must run perfectly and in real-time. The networking device performance is tuned using the device configuration registers. The optimal configuration is derived from the network topology and traffic patterns. As a result, it is not possible to specify a single configuration that fits all scenarios, and manual tuning is required in order to optimize the devices' performance. Such tuning slows down data center deployments and consumes massive resources. Moreover, as traffic patterns change, the original tuning becomes obsolete and causes degraded performance. This necessitates expensive retuning, which in some cases is infeasible.