In recent years, cloud platforms have been widely applied in various areas to provide flexible service for users. However, how to evaluate the reliability of cloud platforms still remains a challenging issue because of its complexity and dynamical characteristic. In this paper, we present a novel reliability evaluation model which is aiming at providing a technique to accurately evaluate the reliability of virtualized cloud platforms. The proposed model is deprived from the classical tree-structure based reliability model and incorporates some new mechanisms to overcome the shortcomings of previous models. Extensive experiments are conducted to investigate the effectiveness of the proposed model. The results shown that, comparing with the existing approaches, the proposed model can significantly improve the accuracy of reliability evaluation, especially when the target cloud platform is in presence of intensive workloads.
목차
Abstract 1. Introduction 2. Related Work 3. Analysis and Design of Reliability Model 3.1. Background and Motivation 3.2. Design of RMVC 3.3. Analysis of Task Execution Time 4. Experiments and Performance Comparison 4.1. Experimental Settings 4.2. Evaluation on Accuracy 4.3. Comparison of Scheduling Performance 5. Conclusion References
키워드
Cloud ComputingReliability ModelVirtualizationQueue System
저자
Zhichao Liu [ Network Information Center, Hunan Institute of Engineering, Hunan Province, China ]
Ze Xiao [ Department of Computer Technology and Application, Qinghai University, Qinghai Province, China ]
보안공학연구지원센터(IJGDC) [Science & Engineering Research Support Center, Republic of Korea(IJGDC)]
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 Grid and Distributed Computing
간기
격월간
pISSN
2005-4262
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Grid and Distributed Computing Vol.9 No.10