@inproceedings{6f77478e3f994ce790ca185fa3d28b8b,
title = "Self-healing in binomial graph networks",
abstract = "The number of processors embedded in high performance computing platforms is growing daily to solve larger and more complex problems. However, as the number of components increases, so does the probability of failure. The logical network topologies must also support the fault-tolerant capability in such dynamic environments. This paper presents a self-healing mechanism to improve the fault-tolerant capability of a Binomial graph (BMG) network. The self-healing mechanism protects BMG from network bisection and helps maintain optimal routing even in failure circumstances. The experimental results show that self-healing with an adaptive method significantly reduces the overhead from reconstructing the networks.",
author = "Thara Angskun and George Bosilca and Jack Dongarra",
year = "2007",
doi = "10.1007/978-3-540-76890-6_30",
language = "English",
isbn = "9783540768890",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
number = "PART 2",
pages = "1032--1041",
booktitle = "On the Move to Meaningful Internet Systems 2007",
edition = "PART 2",
note = "OTM Confederated International Workshops and Posters AWeSOMe, CAMS, OTM Academy Doctoral Consortium, MONET, OnToContent, ORM, PerSys, PPN, RDDS, SSWS, and SWWS 2007 ; Conference date: 25-11-2007 Through 30-11-2007",
}