With the rapid development of computer network, the problem of reliability of computer network is becoming more and more attention of builders, users and the network designer. The reliability of computer network has become a key technical indicators to measure the comprehensive performance of computer network. Aiming at a single known computer network, applying to established the computer network link cost model and the computer network reliability model, and carries on the simulation using the genetic algorithm intelligent algorithm; comprehensive evaluation for a variety of known different computer network reliability index system, and we have given the evaluation results. The simulation results show that, the established computer network link cost model and the computer network reliability model in the thesis are suitable, model algorithm and programming language is effective, it has the practical application significance which the paper proposed the computer network reliability optimization design concrete plan.
목차
Abstract 1. Introduction 2. Related Research 3. Proposed Scheme 3.1 The Define of Computer Network Reliability and Reliability 3.2 Computer Network Reliability Model 3.3 Effect of Network Equipment for Network Reliability 3.4 The design principles of computer network reliability 3.5 The Optimization Model of Computer Network Reliability 3.6 Reliability Optimization Design based on Genetic Algorithms 4. Experimental Results and Analysis 5. Conclusion References
보안공학연구지원센터(IJSIA) [Science & Engineering Research Support Center, Republic of Korea(IJSIA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Security and Its Applications
간기
격월간
pISSN
1738-9976
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Security and Its Applications Vol.9 No.4