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Design and implementation of a bio-inspired system platform

Bio-Inspired systems are widely being developed today and have become a focus of attention as an efficient system model for large-scale network application services. However, there are difficulties associated with implementation according to the model properties such as scalability, adaptability and survivability. In order to resolve such problems, this paper proposes designing a multi-intelligent mobile agent referred to as Ecogent as well as a platform that allows the Ecogent to provide services to address the three properties of the ecosystem. The bio-inspired model platform is designed and implemented based on two sub-platforms. One is the ERS (Ecogent Runtime Services) platform that provides basic functions of a mobile agent including registration, life cycle, migration, communication, location and fault tolerance. The other is the bio platform that provides the capability of evolution and adaptability through genetic algorithm and stigmergy controls. Ecogent equipped with survivability and autonomy along with a simple platform structure modularized for flexibility and scalability facilitate development of various bio-inspired system model applications. By implementing several model applications of the ecosystem using the bio-inspired platform, it was shown that various types of application system could be easily developed.