一个信息灾难模拟器的设计及实现
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摘要
近年,信息灾难导致公司利益受损甚或公司倒闭的实例不胜枚举。鉴于这些巨额损失,很多企业、机关、事业单位纷纷步入灾备研究领域,开始了自己的灾备计划,甚至开始了对灾难本身的研究。但是,日积月累的高昂研究费用和不见起色的灾难研究,很多单位又相继步出了灾备研究领域。鉴于高昂的研究费用和基于事后补救措施的灾备研究方法,大多数企业、机关、事业单位采取了被动的态度,找第三方给自己搭建灾备基础设施,在灾后再联系第三方解决恢复问题。
针对以上问题,本文将灾备研究策略提到灾难发生前,而非仅仅在事后采取补救,对灾难预测和灾难过程中的信息模拟进行了分析与研究,并基于此对信息灾难模拟器的设计与实现进行了探讨,提出了一种基于随机预测的分布式灾难模拟方法并在此基础上构建了一个信息灾难模拟器。该模拟器能够在给定某种灾难(如地震、洪水、火灾或者病毒攻击)及其烈度的情况下,自动模拟此种灾难对信息系统的影响及其演变,以给决策者提供重要的参考信息,最大程度上减轻灾难的影响。同时,完成无人值守时的自动预警,自动采取措施,以停止灾难延续或者减少灾难带来的损失。
In recent years, there were numerous examples that the company's interests were severely affected and closure of corporations is witnessed due to the information disaster. In view of these huge losses, many companies, institutions, research institutions have entered the field of disaster recovery to start their own disaster recovery plans, and even embarked on a disaster research. However, with the increasing research cost but few improvement in disaster research, many units have stepped out of the Disaster Recovery field of study. In view of the high research cost and remedial measures for disaster recovery based on research methods, the majority of enterprises, institutions, and institutions adopted a passive attitude. They are looking for a third party to build its own disaster recovery infrastructure, which means that they contact a third party to resolve after the disaster.
To solve the problems mentioned above, the research strategy of disaster recovery will be placed before the disaster, not only remedy the disaster after the disaster happens. This paper analyzes the information simulation in the process of disaster forecasting. Meanwhile, the paper explores the design and realization of information disaster simulator which is based on what have been discussed above and proposed a distributed disaster prediction based on random simulation methods and on this basis, the paper aims at building an information disaster simulator. Given certain disasters (such as earthquakes, floods, fires, or virus attacks) with its intensity, the simulator can automatically simulate the impact of such a disaster on the information systems and its evolution in order to provide an important reference for decision-makers. More importantly, the simulator is to reduce the impact of disasters to the maximum extend. Meanwhile, the simulator is able to achieve the completion of the automatic warning when it is in unmanned situation, it will take measures automatically to stop the continuation of a disaster or reduce disaster losses as well.
针对以上问题,本文将灾备研究策略提到灾难发生前,而非仅仅在事后采取补救,对灾难预测和灾难过程中的信息模拟进行了分析与研究,并基于此对信息灾难模拟器的设计与实现进行了探讨,提出了一种基于随机预测的分布式灾难模拟方法并在此基础上构建了一个信息灾难模拟器。该模拟器能够在给定某种灾难(如地震、洪水、火灾或者病毒攻击)及其烈度的情况下,自动模拟此种灾难对信息系统的影响及其演变,以给决策者提供重要的参考信息,最大程度上减轻灾难的影响。同时,完成无人值守时的自动预警,自动采取措施,以停止灾难延续或者减少灾难带来的损失。
In recent years, there were numerous examples that the company's interests were severely affected and closure of corporations is witnessed due to the information disaster. In view of these huge losses, many companies, institutions, research institutions have entered the field of disaster recovery to start their own disaster recovery plans, and even embarked on a disaster research. However, with the increasing research cost but few improvement in disaster research, many units have stepped out of the Disaster Recovery field of study. In view of the high research cost and remedial measures for disaster recovery based on research methods, the majority of enterprises, institutions, and institutions adopted a passive attitude. They are looking for a third party to build its own disaster recovery infrastructure, which means that they contact a third party to resolve after the disaster.
To solve the problems mentioned above, the research strategy of disaster recovery will be placed before the disaster, not only remedy the disaster after the disaster happens. This paper analyzes the information simulation in the process of disaster forecasting. Meanwhile, the paper explores the design and realization of information disaster simulator which is based on what have been discussed above and proposed a distributed disaster prediction based on random simulation methods and on this basis, the paper aims at building an information disaster simulator. Given certain disasters (such as earthquakes, floods, fires, or virus attacks) with its intensity, the simulator can automatically simulate the impact of such a disaster on the information systems and its evolution in order to provide an important reference for decision-makers. More importantly, the simulator is to reduce the impact of disasters to the maximum extend. Meanwhile, the simulator is able to achieve the completion of the automatic warning when it is in unmanned situation, it will take measures automatically to stop the continuation of a disaster or reduce disaster losses as well.
引文
【1】上海年鉴编辑部,《上海年鉴2008》(M),上海:上海人民出版社2008.
【2】郑克俊,《企业投资决策支持系统的开发与设计》(J),《信息系统工程》,1995(4).
【3】IBM大型服务器部门,中型企业灾备恢复方案(2009)〔DB/CD〕.中国:IT基础架构解决方案: http://www-900.ibm.com/cn/express/infrastructure/dr/index.shtml . 2009.
【4】邹恒明,《有备无患—信息系统之灾难应付》(M),上海:机械工业出版社出版,2009.
【5】FU YAN,YANC DONG-QING,TANG SHI-WEI, Using XPath to discover informative content block of web pages[C]//3rd International Conference on Semantics :Knowledge and Grid .Xi’an IEEE Press.2007:450~453
【6】KIM Y,PARK J,KlM T,et al. Web information extraction by HTML tree edit distance matching
【C】//2007 International Conference on Convergence Information Technology .Gyeongju, Korea :IEEE Press,2007;2455~2460.
【7】黄玲,陈龙,《基于网页分块的正文信息提取方法》(J),计算机应用,2008(vol.28):326~328
【8】Bin Li, Jiping Liu.Application of Remote Sensing Technique for Disaster Management〔J〕. IEEE International Conference on July 31 2006-Aug. 4 2006 (7):283– 286.
【9】Wenling Xuan; Xiuwan Chen; Gang Zhao .Early warning monitoring and management of disasters〔J〕,IEEE International 23-28 July 2007:2996– 2999.
【10】Mark E.Rusinovich , David A.Solomon. Windows Internals 4th Edition (M), Microsoft Press: 2004.
【11】Paul Massiglia VERITAS Software Corporation ,Disk storage management for windows servers(M),Paul Massiglia VERITAS Software Corporation ,February 2001.
【12】刘鹏,《提出一种实用的网格实现方式------网格计算池模型》,清华大学计算机系,2002.
【13】戴士剑,涂彦晖编著,《数据恢复技术》(M),电子工业出版社2005.
【14】周金平等编著,《Windows系统编程》(M),人民邮电出版社,2005.
【15】张曜等编著《Windows API函数实用手册》(M),冶金工业出版社2003年8月.
【16】Jesse Liberty著,《programming c# 4th Edition》(M),电子工业出版社2007.
【17】Youliang Chen; Zhaoru Wang ,Implementation of a Long-Distance Monitor and Automatic Alarm System of Flood Disaster in PoYang Lake Area(J),Information Science and Engieering, 2008. ISISE '08. International Symposium on Volume 2, 20-22 Dec. 2008 Page(s):120– 123.
【18】本书编写组编著,《Windows API函数参考手册》(M),人民邮电出版社,2002.
【19】Richter`Jeffrey,Nasarre, Christophe著,葛子昂,周靖,廖敏译,《Windows via c/c++ 5th Edition》(M),清华大学出版社,2008.
【20】Liberty·Jesse著,刘基诚,李愈胜,刘卫卫译,《Programming C#中文版》(M),电子工业出版社2007.
【21】陈向群,《Windows内核实验教程》(M),机械工业出版社2002.
【22】罗斌,《Visual c++ 2005编程技巧大全》(M) ,中国水利水电出版社2008.
【23】交通大学数学系,《随机行走过程》(M),交大出版社,2006.
【24】周长发.NET技术大系,《C#面向对象编程》(M),电子工业出版社2007.
【25】杨曦,朱双鹤,《雷达情报模拟系统的设计与实现》(J),空军工程大学学报(自然科学版)2001年第2卷第1期Page56~Page58.
【26】罗真,曹其新,《基于短期预测的追捕方法》(J),上海交通大学学报第40卷,Page1069~Page1078.
【27】Rajarapollu, P.; Sharma, V.K,Design and analysis of satellite based disaster warning system– II(J),TENCON 2007 - 2007 IEEE Region 10 Conference Oct. 30 2007-Nov. 2 2007 Page(s):1– 4.
【28】Yang, Yingjie; Kang, Xiaowen; Du, Xin,Hierarchical Disaster Tolerant Architecture Based on Virtual Storage Technology(J),Networking and Digital Society, 2009. ICNDS '09. International Conference on Volume 2, 30-31 May 2009 Page(s):170– 173.
【29】Hu Zhuowei; Li Xiaojuan; Sun Yonghua; Zhu Living,Flood disaster response and decision-making support system based on remote sensing and GIS(J),Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International 23-28 July 2007 Page(s):2435– 2438.
【30】邱丽琴,邹恒明,《数据备份恢复系统中文件匹配方法》(J),上海:上海交通大学2008.
【31】黄文刚,邹恒明,《跨平台的安全邮件代理》(J),上海:上海交通大学2006.
【32】Gerhard Weikum Gottfried Vossen著,陈立军等译,《事务信息系统并发控制与恢复的理论,算法与实践》(M),机械工业出版社,2008.
【33】(美)格雷,(美)路透,《事务处理》,人民邮电出版社,2009.
【34】(美)海杰尔斯伯格,(美)韦尔特马瑟,(美)戈尔德著,韩江,王秀慧译,《C#编程语言详解》(M),电子工业出版社,2007.
【2】郑克俊,《企业投资决策支持系统的开发与设计》(J),《信息系统工程》,1995(4).
【3】IBM大型服务器部门,中型企业灾备恢复方案(2009)〔DB/CD〕.中国:IT基础架构解决方案: http://www-900.ibm.com/cn/express/infrastructure/dr/index.shtml . 2009.
【4】邹恒明,《有备无患—信息系统之灾难应付》(M),上海:机械工业出版社出版,2009.
【5】FU YAN,YANC DONG-QING,TANG SHI-WEI, Using XPath to discover informative content block of web pages[C]//3rd International Conference on Semantics :Knowledge and Grid .Xi’an IEEE Press.2007:450~453
【6】KIM Y,PARK J,KlM T,et al. Web information extraction by HTML tree edit distance matching
【C】//2007 International Conference on Convergence Information Technology .Gyeongju, Korea :IEEE Press,2007;2455~2460.
【7】黄玲,陈龙,《基于网页分块的正文信息提取方法》(J),计算机应用,2008(vol.28):326~328
【8】Bin Li, Jiping Liu.Application of Remote Sensing Technique for Disaster Management〔J〕. IEEE International Conference on July 31 2006-Aug. 4 2006 (7):283– 286.
【9】Wenling Xuan; Xiuwan Chen; Gang Zhao .Early warning monitoring and management of disasters〔J〕,IEEE International 23-28 July 2007:2996– 2999.
【10】Mark E.Rusinovich , David A.Solomon. Windows Internals 4th Edition (M), Microsoft Press: 2004.
【11】Paul Massiglia VERITAS Software Corporation ,Disk storage management for windows servers(M),Paul Massiglia VERITAS Software Corporation ,February 2001.
【12】刘鹏,《提出一种实用的网格实现方式------网格计算池模型》,清华大学计算机系,2002.
【13】戴士剑,涂彦晖编著,《数据恢复技术》(M),电子工业出版社2005.
【14】周金平等编著,《Windows系统编程》(M),人民邮电出版社,2005.
【15】张曜等编著《Windows API函数实用手册》(M),冶金工业出版社2003年8月.
【16】Jesse Liberty著,《programming c# 4th Edition》(M),电子工业出版社2007.
【17】Youliang Chen; Zhaoru Wang ,Implementation of a Long-Distance Monitor and Automatic Alarm System of Flood Disaster in PoYang Lake Area(J),Information Science and Engieering, 2008. ISISE '08. International Symposium on Volume 2, 20-22 Dec. 2008 Page(s):120– 123.
【18】本书编写组编著,《Windows API函数参考手册》(M),人民邮电出版社,2002.
【19】Richter`Jeffrey,Nasarre, Christophe著,葛子昂,周靖,廖敏译,《Windows via c/c++ 5th Edition》(M),清华大学出版社,2008.
【20】Liberty·Jesse著,刘基诚,李愈胜,刘卫卫译,《Programming C#中文版》(M),电子工业出版社2007.
【21】陈向群,《Windows内核实验教程》(M),机械工业出版社2002.
【22】罗斌,《Visual c++ 2005编程技巧大全》(M) ,中国水利水电出版社2008.
【23】交通大学数学系,《随机行走过程》(M),交大出版社,2006.
【24】周长发.NET技术大系,《C#面向对象编程》(M),电子工业出版社2007.
【25】杨曦,朱双鹤,《雷达情报模拟系统的设计与实现》(J),空军工程大学学报(自然科学版)2001年第2卷第1期Page56~Page58.
【26】罗真,曹其新,《基于短期预测的追捕方法》(J),上海交通大学学报第40卷,Page1069~Page1078.
【27】Rajarapollu, P.; Sharma, V.K,Design and analysis of satellite based disaster warning system– II(J),TENCON 2007 - 2007 IEEE Region 10 Conference Oct. 30 2007-Nov. 2 2007 Page(s):1– 4.
【28】Yang, Yingjie; Kang, Xiaowen; Du, Xin,Hierarchical Disaster Tolerant Architecture Based on Virtual Storage Technology(J),Networking and Digital Society, 2009. ICNDS '09. International Conference on Volume 2, 30-31 May 2009 Page(s):170– 173.
【29】Hu Zhuowei; Li Xiaojuan; Sun Yonghua; Zhu Living,Flood disaster response and decision-making support system based on remote sensing and GIS(J),Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International 23-28 July 2007 Page(s):2435– 2438.
【30】邱丽琴,邹恒明,《数据备份恢复系统中文件匹配方法》(J),上海:上海交通大学2008.
【31】黄文刚,邹恒明,《跨平台的安全邮件代理》(J),上海:上海交通大学2006.
【32】Gerhard Weikum Gottfried Vossen著,陈立军等译,《事务信息系统并发控制与恢复的理论,算法与实践》(M),机械工业出版社,2008.
【33】(美)格雷,(美)路透,《事务处理》,人民邮电出版社,2009.
【34】(美)海杰尔斯伯格,(美)韦尔特马瑟,(美)戈尔德著,韩江,王秀慧译,《C#编程语言详解》(M),电子工业出版社,2007.