6533b833fe1ef96bd129b937
RESEARCH PRODUCT
BIAM: a new bio-inspired analysis methodology for digital ecosystems based on a scale-free architecture
Simone Sante RuffoLeonard BarolliVincenzo ContiSalvatore Vitabilesubject
0209 industrial biotechnologyComputer scienceDistributed computingScale (chemistry)Metabolic networkComputational intelligence02 engineering and technologyTheoretical Computer ScienceSet (abstract data type)Scale-free architectureDigital ecosystemDigital ecosystem020901 industrial engineering & automationInformation and Communications TechnologyInformatics0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingEcosystemDE architectural analysiGeometry and TopologyInformation flow (information theory)ArchitectureScience technology and societySoftwaredescription
Today we live in a world of digital objects and digital technology; industry and humanities as well as technologies are truly in the midst of a digital environment driven by ICT and cyber informatics. A digital ecosystem can be defined as a digital environment populated by interacting and competing digital species. Digital species have autonomous, proactive and adaptive behaviors, regulated by peer-to-peer interactions without central control point. An interconnecting architecture with few highly connected nodes (hubs) and many low connected nodes has a scale- free architecture. A new bio-inspired analysis methodology (BIAM) environment, an investigation strategy for information flow, fault and error tolerance detection in digital ecosystems based on a scale-free architecture is presented in this paper. In order to extract the information about modules and digital species role, the analysis methodology, inspired by metabolic network working, implements a set of three interacting techniques, i.e., topological analysis, flux balance analysis and extreme pathway analysis. Highly connected nodes, intermodule connectors and ultra-peripheral nodes can be identified by evaluating their impact on digital ecosystems behavior and addressing their strengthen, fault tolerance and protection countermeasures. Two real case studies of ecosystems have been analyzed in order to test the functionalities of the proposed (BIAM) environment and the goodness of this approach.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2017-09-14 |