基于云模型的灾难恢复能力评价方法研究

计算机科学 ›› 2015, Vol. 42 ›› Issue (8): 152-156.

基于云模型的灾难恢复能力评价方法研究

姚文斌,王真,赵玲,姚翔

北京邮电大学计算机学院北京100876,北京邮电大学计算机学院北京100876,北京邮电大学计算机学院北京100876,北京邮电大学计算机学院北京100876

出版日期:2018-11-14 发布日期:2018-11-14
基金资助:
本文受国家高技术研究发展计划资助

Study on Disaster Recovery Capability Evaluation Approach Based on Cloud Model

YAO Wen-bin, WANG Zhen, ZHAO Ling and YAO Xiang

Online:2018-11-14 Published:2018-11-14

摘要/Abstract

摘要： 鉴于现有灾难恢复能力评价体系对动态指标的考虑不足,不能全面地反映现实系统,评价方法未对系统的整体稳定性做分析且权重计算偏于主观,易受人为因素影响等情况,构建了一套新的灾难恢复能力评估体系和评价方法。提炼归纳了体现灾难恢复能力的综合性动态指标,丰富了指标体系。引入云理论,提出了基于正态分布区间数的指标评价值规范化方法和改进的G1-熵权法的综合赋权模型,最终得出了系统灾难恢复能力的云模型表示方法,完成了定性到定量的转换。通过实例仿真验证了该方法的可行性。

关键词: 云模型,系统评价,灾难恢复能力,综合赋权

Abstract: The existing index system about disaster recovery capability often takes insufficient account of the dynamic index.At the same time,the existing evaluation methods do not make analysis on system stability,and the weight calculation method is far too subjective.To solve these problems,a new index system and an evaluation approach of disaster recovery capability were proposed.The composite indicators,such as RPO and RTO,were added into the index system.Combined with cloud model,the paper proposed a method for normalizing the index value based on interval number and a comprehensive empowerment model based on G1 and entropy method.This evaluation constructs the cloud model for disaster recovery capability,which implements the conversion from qualitation to quantitation.Then the experiment confirms the feasibility of this method.

Key words: Cloud model,System evaluation,Disaster recovery capability,Comprehensive empowerment

姚文斌,王真,赵玲,姚翔. 基于云模型的灾难恢复能力评价方法研究[J]. 计算机科学, 2015, 42(8): 152-156. https://doi.org/

YAO Wen-bin, WANG Zhen, ZHAO Ling and YAO Xiang. Study on Disaster Recovery Capability Evaluation Approach Based on Cloud Model[J]. Computer Science, 2015, 42(8): 152-156. https://doi.org/

参考文献

[1] Ueno Y,Miyaho N,Suzuki S,et al.Performance Evaluation of a Disaster Recovery System and Practical Network System Applications[C]∥2010 Fifth International Conference on Systems and Networks Communications(ICSNC).IEEE,2010:195-200
[2] Boehmer W,Brandt C,Groote J F.Evaluation of a business continuity plan using process algebra and modal logic[C]∥2009 IEEE Toronto International Conference Science and Technology for Humanity(TIC-STH).IEEE,2009:147-152
[3] Alhazmi O H,Malaiya Y K.Evaluating disaster recovery plans using the cloud[C]∥Reliability and Maintainability Symposium(RAMS),2013 Proceedings-Annual.IEEE,2013:1-6
[4] 陈敏刚,董军,张丽亮,等.AHP和模糊综合评判在灾难恢复能力评估中的应用[J].计算机工程,2006,2(18):135-137,140 Chen Min-gang,Dong Jun,Zhang Li-liang,et al.AHP and Fuzzy Comprehensive Evaluation Application in Disaster Recovery Ability Evaluation[J].Computer Engineering,2006,32(18):135-137,140
[5] 李佳,徐达,王晓磊.基于风险分析的信息系统灾难恢复能力评估[C]∥中国通信学会.虚拟运营与云计算——第十八届全国青年通信学术年会论文集(上册).2013:6 Li Jia,Xu Da,Wang Xiao-lei.Information System Disaster Recovery Capability Evaluation Based on Risk Analysis[C]∥China Institute of Communications.Virtual Operation and Cloud Computing—The Eighteenth Annual Conference Proceedings National Youth Communication(Volume).2013:6
[6] Zhang G,Yang Y,Mao X.Disaster recovery evaluation PROC model framework based on information flow[C]∥2011 International Conference on Computer Science and Network Technology(ICCSNT).IEEE,2011:1841-1845
[7] 秦丽,李兵.一种基于云模型的不确定性数据的建模与分类方法[J].计算机科学,2014,1(8):233-240 Qin Li,Li Bing.Novel Method of Uncertain Data Modeling and Classification Based on Cloud Model[J].Computer Science,2014,1(8):233-240
[8] 吕辉军,王晔,李德毅,等.逆向云在定性评价中的应用[J].计算机学报,2003,6(8):1009-1014 Lv Hui-jun,Wang Ye,Li De-yi,et al.The Application of Backward Cloud in Qualiative Evaluation[J].Chinese Journal of Computers,2003,6(8):1009-1014
[9] 刘常昱,冯芒,戴晓军,等.基于云X信息的逆向云新算法[J].系统仿真学报,2004,6(11):2417-2420 Liu Chang-yu,Feng Mang,Dai Xiao-jun,et al.A New Algorithm of Backward Cloud[J].Journal of System Simulation,2004,6(11):2417-2420
[10] 于少伟,史忠科.基于正态分布区间数的逆向云新算法[J].系统工程理论与实践,2011,1(10):2021-2026 Yu Shao-wei,Shi Zhong-ke.New Algorithm of Backward Cloud Based on Normal Interval Number[J].Systems Engineering—Theory&Practice,2011,1(10):2021-2026
[11] 杨义先,姚文斌,陈钊.信息系统灾备技术综论[J].北京邮电大学学报,2010,33(2):1-6 Yang Yi-xian,Yao Wen-bin,Chen Zhao.Review of Disaster Backup and Recovery Technology of Information System[J].Journal of Beijing University of Posts and Telecommunications,2010,33(2):1-6
[12] 李军,李继光,姚建刚,等.属性识别和 G1-熵权法在电能质量评价中的应用[J].电网技术,2009,33(14):67-73 Li Jun,Li Ji-guang,Yao Jian-gang,et al.Application of Attri-bute Recognition and G1-Entropy Method in Evaluation of Po-wer Quality[J].Power System Technology,2009,33(14):67-73

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed