The Atropos (formerly AVNMP) Toolkit allows experimentation with predictive capability inside a network while the network is operating: this might be best described as ’in vitro’ prediction experimentation. Its purpose is to facilitate experimentation towards addressing a severe limitation in state-of-the-art network management: current management techniques are reactive. The toolkit is an active application that executes in real time within a network that has an overlay active network. Active networking provides a framework in which executable code within data packets executes upon intermediate network nodes. The Atropos Toolkit provides the infrastructure to develop and inject numerous, small, interacting network component models in support of network prediction. Research results in Complexity Theory using Atropos can be found in the DARPA-funded GE Fault Tolerant Networking Project. (Source:

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References in zbMATH (referenced in 7 articles )

Showing results 1 to 7 of 7.
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  1. Bush, Stephen F.: Toward \textitinvivo nanoscale communication networks: utilizing an active network architecture (2011) ioport
  2. Sabrina, Fariza: A novel resource scheduling algorithm for QoS-aware services on the internet (2010)
  3. Calvert, Kenneth L.; Griffioen, James; Wen, Su: Scalable network management using lightweight programmable network services (2006) ioport
  4. Gaglio, Salvatore; Gatani, Luca; Lo Re, Giuseppe; Urso, Alfonso: A logical architecture for active network management (2006) ioport
  5. Gupta, Ankur: Network management: Current trends and future perspectives (2006) ioport
  6. Li, Yuhong: Adaptive resource management in active network nodes. (2004)
  7. Bush, Stephen F.: Active virtual network management protocol (1999) ioport

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