NoHNES:  Non-Hierarchical Network  Evolutionary System TIN2007-68083-C02 Juan Julián Merelo Guervós Ken Sharman
Project Objectives Bioinspired algorithms for P2P networks
Scalability and fault tolerance
P2P bioinspired algorithms
Applications
Implementation and release
Subproject objectives - UGR Optimization of P2P/Overlay network.
Development of a P2P bioinspired framework.
Scalability and fault tolerance
Subproject objectives - ITI-UPV Adaptation of bio-inspired algorithms to overlay architectures, and adaptation to real- time response.
Applications: logistics and transportation, natural language, systems biology, signal processing and pattern recognition.
Level of success Level of funding
Bio-inspired algorithms for P2P/overlay networks Evolvable Agent architecture Self-scheduled EA
Self-organizing connectivity Scalability studied
Released under the GPL
Scalability and fault-tolerance over distributed networks Natural  mechanisms of fault tolerance investigated
Multikulti algorithm proposed: Using the optimally different individual to send
? ? ? ? ? ?
 
Scalability and fault-tolerance over distributed networks Tests in a volunteer computing environment BOINC
JavaScript-based Importance of  churn .
Bio-inspired algorithms in overlay nets + real-time response Mostly covered in the other objectives
Real-time response difficult to achieve Latency and quality of service problems
Applications

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