This research evaluates new routing algorithms and topologies, showing improvements in packet latency and fault tolerance in interconnection networks.
In the first part of this research, we propose two hybrid topologies named k-Cube k-Ary n-Tree (CAT) and Mirrored k-Cube k-Ary n-Tree (MiCAT), based on fat-trees and hypercubes. We evaluate the path diversity, cost, performance, and average packet latency of CAT and MiCAT. The results show that CAT and MiCAT can save up to 87% switches and 80% links in a large-scale parallel system, for example, if k = n = 8, compared to fat-trees, and meanwhile, both CAT and MiCAT have higher path diversities than fat-trees. The second part gives four link fault tolerant routing algorithms in Mirrored k-ary n-tree (MiKANT) interconnection networks and evaluates their performance through simulations. In addition, the performance of the combined algorithms is also evaluated.
No takes yet. Share an insight, caveat, or question.
Yaodong Wang (2022) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: