Name
Abstract | ||
|---|---|---|
We introduce the concept of self-healing in the field of complex networks modelling; in particular, self-healing capabilities are implemented through distributed communication protocols that exploit redundant links to recover the connectivity of the system. We then analyze the effect of the level of redundancy on the resilience to multiple failures; in particular, we measure the fraction of nodes still served for increasing levels of network damages. Finally, we study the effects of redundancy under different connectivity patterns-from planar grids, to small-world, up to scale-free networks-on healing performances. Small-world topologies show that introducing some long-range connections in planar grids greatly enhances the resilience to multiple failures with performances comparable to the case of the most resilient (and least realistic) scale-free structures. Obvious applications of self-healing are in the important field of infrastructural networks like gas, power, water, oil distribution systems. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1371/journal.pone.0087986 | PLOS ONE |
Keywords | Field | DocType |
physics,biomedical research,bioinformatics,biology,medicine,chemistry,engineering | Psychological resilience,Network topology,Exploit,Scale-free network,Redundancy (engineering),Complex network,Network analysis,Bioinformatics,Distributed computing,Communications protocol,Physics | Journal |
Volume | Issue | ISSN |
9 | 2 | 1932-6203 |
Citations | PageRank | References |
11 | 0.67 | 15 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Walter Quattrociocchi | 1 | 582 | 42.16 |
| Guido Caldarelli | 2 | 382 | 40.76 |
| Antonio Scala | 3 | 88 | 6.22 |