Performance modelling of a true fully adaptive routing algorithm

Several recent studies have revealed that deadlocks occur very infrequently in the network, especially when enough routing freedom is provided. Routing algorithms based on deadlock avoidance reserve some virtual channels or routing options to specifically deal with deadlocks, and as a result they are not utilized most of the time. Routing algorithms based on deadlock recovery allow messages to use all available virtual channels to cross the network, and efficiently handle infrequently occurred deadlocks. This paper describes a new analytical model of a true fully adaptive routing (TFAR) algorithm with software-based deadlock recovery in k-ary n-cubes. Results obtained through simulation experiments confirm that the model predicts message latency with a good degree of accuracy under different working conditions.