Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
From Selfish Nodes to Cooperative Networks " Emergent Link-Based Incentives in Peer-to-Peer Networks
P2P '04 Proceedings of the Fourth International Conference on Peer-to-Peer Computing
A survey of autonomic computing—degrees, models, and applications
ACM Computing Surveys (CSUR)
Proceedings of the 7th workshop on Reflective and adaptive middleware
A Framework for Evolutionary Peer-to-Peer Overlay Schemes
EvoWorkshops '09 Proceedings of the EvoWorkshops 2009 on Applications of Evolutionary Computing: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG
DEUS: a discrete event universal simulator
Proceedings of the 2nd International Conference on Simulation Tools and Techniques
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The origins of ultra-large-scale (ULS) systems derive from social problems that are getting more and more complex, such as climatic monitoring, transportation, citizens protection and security. These factors imply a continuous increase of information systems that evolve towards ultra-dimension systems, requiring digital communication networks that allow for communication between people, between objects, and objects and people. The aim of this paper is to present novel approaches for the engineering of highly adaptive ULS systems, with the focus on computersupported evolution, adaptable structure, emergent behaviors as well as advanced monitoring and control techniques. We illustrate the Networked Autonomic Machine (NAM), a framework for the characterization of the elements of self-*, highly dynamic ULS systems. Moreover, we recall the Adaptive Evolutionary Framework (AEF), for the implementation of distributed evolutionary strategies. Finally, we describe an example scenario of large peer-to-peer network under targeted attacks, showing the benefits of the NAM-AEF design.