Towards Self-healing SDN
(2014)
Presentation / Conference Contribution
Chockler, G., & Trehan, A. (2014, December). Towards Self-healing SDN. Presented at Distributed Software Defined Net- works (DSDN) workshop, Principles of Distributed Computing (PODC) 2014
Outputs (6)
DEX: Self-Healing Expanders (2014)
Presentation / Conference Contribution
Pandurangan, G., Robinson, P., & Trehan, A. (2014, December). DEX: Self-Healing Expanders. Presented at Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, Washington, DC, USA
Improved routing in the data centre networks HCN and BCN (2014)
Presentation / Conference Contribution
Stewart, I. (2014, December). Improved routing in the data centre networks HCN and BCN. Presented at 2nd International Symposium on Computing and Networking - Across Practical Development and Theoretical Research, Shizuoka, Japan
Xheal: a localized self-healing algorithm using expanders (2014)
Journal Article
Pandurangan, G., & Trehan, A. (2014). Xheal: a localized self-healing algorithm using expanders. Distributed Computing, 27(1), 39-54. https://doi.org/10.1007/s00446-013-0192-1
Graph editing to a fixed target (2014)
Journal Article
Golovach, P., Paulusma, D., & Stewart, I. (2017). Graph editing to a fixed target. Discrete Applied Mathematics, 216(Part 1), 181-190. https://doi.org/10.1016/j.dam.2014.07.008For a fixed graph H, the H-Minor Edit problem takes as input a graph G and an integer k and asks whether G can be modified into H by a total of at most k edge contractions, edge deletions and vertex deletions. Replacing edge contractions by vertex di... Read More about Graph editing to a fixed target.
Accelerating ant colony optimization-based edge detection on the GPU using CUDA (2014)
Presentation / Conference Contribution
Dawson, L., & Stewart, I. (2014, July). Accelerating ant colony optimization-based edge detection on the GPU using CUDA. Presented at 2014 IEEE Congress on Evolutionary Computation (CEC), Beijing, ChinaAnt Colony Optimization (ACO) is a nature-inspired metaheuristic that can be applied to a wide range of optimization problems. In this paper we present the first parallel implementation of an ACO-based (image processing) edge detection algorithm on t... Read More about Accelerating ant colony optimization-based edge detection on the GPU using CUDA.