• Journal of KIISE:Computing Practices and Letters
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• v.13 no.7
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• pp.545-549
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• 2007

The Bio-Inspired System focuses on the creation of an effective system model for massive network applications and is being widely developed. However, the system has a problem-difficulty implementing three features in the system, which includes scalability, adaptability and survivability. To solve this problem, we designed an Ecogent as a multiple intelligence agent, and a Bio-platform to address the three features of scalability, adaptability and survivability. The Bio-Inspired System Platform consists of an ERS (Ecogent Runtime Services) Platform and a Bio-Platform. The ERS platform serves the basic functions of mobile agents, such as Registration, Life Cycle, Migration, Communication, Location and Fault Tolerance. The Bio-Platform includes the functions of Evolution Control and Stigmergy Control to address evolution and adaptation.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2003.10a
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• pp.258-267
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• 2003

네트워크의 발전으로 인해 현재 존재하는 소프트웨어 구조에 몇 가지 문제점을 내포하게 되었다. 이러한 환경에 대응하기 위해 생태계 구조를 모방한(Bio-inspired) 네트워크 기반적응 생존형 시스템을 제안한다. 여기서는 생태계의 여러 특성 중 적응성(adaptability) 확장성(scalability), 생존성(survivability)을 모델링 하고자한다. 이 시스템은 상기의 특성을 포함하는 몇 개의 계층으로 구성되어 있다. 독립된 개체의 역할을 하는 에코전트 레이어와 에코전트의 활동을 지원하는 에코전트 플랫폼 레이어, 효율적인 네트워크 활용을 위한 플랫폼 콜레버레이션 레이어로 이루어져 있다. 본 논문에서는 이러한 시스템의 구체적인 기능과 구성 그리고 이 시스템의 활용 분야에 대해 살펴본다.

• Journal of KIISE:Computer Systems and Theory
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• v.34 no.9
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• pp.416-424
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• 2007

The Bio-Inspired system is a computing model that emulates the objects in ecosystem which are evolving themselves and cooperate each other to perform some tasks. Since it could be used to solved the complex problems that have been very difficult to resolve with previous algorithms, there have been a lot of researches to develop an application based on the Bio-Inspired system. However, since this computing model requires the process of evolving and cooperating with a lot of objects and this process takes a lot of times, it has been very hard to develop an application based on this computing model. This paper presents a parallel simulator for a Bio-Inspired system that is designed and implemented with OMNeT++ on PC clusters, and proves its usefulness by showing its simulation performance for a couple of applications. In the proposed parallel simulator, the functions required in the ERS platform for evolving and cooperating between objects (called Ecogent) are mapped onto the functions of OMNeT++, and they are simulated on PC clusters simultaneously to reduce the total simulation time. The simulation results could be monitored with a GUI In realtime, and they are also recorded into DBMS for systematic analyses afterward. This paper shows the usefulness of the proposed system by analyzing its performances for simulating various applications based on Bio-Inspired system on PC clusters with 4 PCs.