Backup Host Plan for Banking Information System Based on Capacity on Demand Model

  • Ming-Tsung Yeh
  • Wan-Chun Liu
  • Yi-Nung Chung
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 234)


The financial information’s operation of banking cannot allow the services to discontinue and lose data. To reduce the banking service impact because of unexpected disasters, this study plans to use the composite remote backup model and proposes to use the CoD (capacity on demand) model to design the backup center’s host to protect the information system that is suitable to the recovery requirement for banking. This study uses the analysis of variance method to census and analyze the fault factors of some banks’ information system and derives the equation of estimation to calculate how much redundancy capacity to purchase for the remote host. This should reduce the setup cost substantially than is possible using the traditional model.


CoD model Remote backup Fault factor analysis 


  1. 1.
    Snedaker S (2007) Business continuity and disaster recovery planning for IT professionals. Syngress Publishing Inc, BurlingtonGoogle Scholar
  2. 2.
    Patel S (2002) Dynamic capabilities of capacity on demand. HP CompanyGoogle Scholar
  3. 3.
    Wiboonrat M, Kosavisutte K (2008) Optimization strategy for disaster recovery. In: 4th IEEE international conference on management of innovation and technology, ICMIT 2008, Bangkok, 21–24 September 2008, pp 675–680Google Scholar
  4. 4.
    Lin G, Yu Zh, Li HB, Zhang LJ, Zhang JP (2010) A remote data disaster recovery system model based on undo. In: Sixth international conference on networked computing and advanced information management (NCM 2010), Seoul, 16–18 August 2010, pp 123–128Google Scholar
  5. 5.
    Yang P, Kong B, Li J, Lu M (2010) Remote disaster recovery system architecture based on database replication technology. In: 2010 international conference on computer and communication technologies in agriculture engineering (CCTAE 2010), Chengdu, pp 254–257Google Scholar

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Department of Electrical EngineeringNational Changhua University of EducationChanghuaTaiwan
  2. 2.Department of Information EngineeringKun Shan UniversityTainanTaiwan

Personalised recommendations