Download Bioinspired Models of Network, Information, and Computing by Yezekael Hayel, Emma Hart, Rachid El-Azouzi, Iacopo Carrera, PDF

By Yezekael Hayel, Emma Hart, Rachid El-Azouzi, Iacopo Carrera, Eitan Altman

This e-book constitutes the completely refereed post-conference lawsuits of the 4th overseas convention on Bio-Inspired types of community, info, and Computing structures (Bionetics). the development came about within the urban of Avignon in December 2009. Bionetics major goal is to carry bio-inspired paradigms into laptop engineereing and networking, and to reinforce the fruitful interactions among those fields and biology. this system of the convention comprises functions of assorted paradigms that experience their foundation in biology: inhabitants dynamics, branching techniques, ant colony optimization. the nineteen revised complete papers have been conscientiously reviewed and chosen and canopy a large variety of vital concerns in components on the topic of bio-inspired applied sciences.

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Additional info for Bioinspired Models of Network, Information, and Computing Systems: 4th International Conference, December 9-11, 2009, Revised Selected Papers (Lecture ... and Telecommunications Engineering)

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This is analogous to a bee colony (an application) consisting of multiple bees (agents). Each agent implements a functional service and follows biological behaviors such as migration, replication and death. This paper focuses on an adaptive behavior selection mechanism for agents. , viruses) for eliminating them. , workload and resource availability) as an antigen and an agent behavior as an antibody. Each agent contains iNet-EGT as its behavior selection mechanism. iNet-EGT allows each agent to autonomously sense its surrounding network conditions (an antigen) and select a behavior (an antibody) suitable for the sensed conditions.

7. Average cost of the paths sampled by normal ants iNet-EGT: An Evolutionarily Stable Adaptation Framework for Network Applications Chonho Lee1 , Junichi Suzuki1 , and Athanasios V. gr Abstract. This paper studies a bio-inspired framework, iNet-EGT, to build autonomous adaptive network applications. In iNet-EGT, each application is designed as a set of agents, each of which provides a functional service and possesses biological behaviors such as migration, replication and death. iNet-EGT implements an adaptive behavior selection mechanism for agents.

Workload and resource availability) as an antigen and an agent behavior as an antibody. Each agent contains iNet-EGT as its behavior selection mechanism. iNet-EGT allows each agent to autonomously sense its surrounding network conditions (an antigen) and select a behavior (an antibody) suitable for the sensed conditions. For example, agents may invoke the replication behavior at the network hosts that accept a large number of user requests for their services. This leads to the adaptation of agent availability; agents can improve their throughput.

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