Cluster Computing

, Volume 17, Issue 3, pp 681–689 | Cite as

Distributed Electronic Commerce cluster for small enterprise

  • Im Y. Jung
  • Wenfeng Cui
  • Hyeonsang Eom
  • Heon Y. Yeom


The Electronic Commerce System should provide prompt responses for user requests and continuous services despite partial failures of its sub systems. In addition, scalability and flexibility should be supported as the number of customers increases. Because Electronic Commerce is beyond the national border, the system should be implemented across different subnets for its efficiency and business needs. This paper proposes the design and implementation of a distributed system infrastructure across different subnets for Electronic Commerce. When the Electronic Commerce system is owned and managed by a small enterprise, the cost should be considered as well as fault tolerance, high availability and scalability. The proposed infrastructure was evaluated and discussed in the aspect of economics such as implementation and management cost, performance and overhead.


Electronic Commerce managed by small enterprise High availability Fault tolerance Scalability DRBD Different subnets 



This work was supported by the IT R&D program of MSIP/KEIT. [10041145, Self-Organizing Software platform (SoSp) for Welfare Devices.]


  1. 1.
    Ajmal, F., Yasin, N.B.M.: Electronic Commerce adoption model for small & medium sized enterprises. In: International Conference on Education and Management Innovation (2012) Google Scholar
  2. 2.
    Barr, J., Narin, A., Varia, J.: Building Fault-Tolerant Application on AWS. Amazon Web Services (2011) Google Scholar
  3. 3.
  4. 4.
    Carey, M.J.: Towards a scalable infrastructure for advanced e-services. IEEE Database Eng. Bull. 24(1), 12–17 (2001) Google Scholar
  5. 5.
  6. 6.
    Dirik, C., Jacob, B.: The performance of PC solid-state disks (SSD) as a function of bandwidth, concurrency, device architecture, and system organization. In: Proceedings of the 36th IEEE International Symposium on Computer Architecture (ISCA) (2009) Google Scholar
  7. 7.
    Gonzalez, J.L., Marcelin-Jimenez, R.: Phoenix: fault-tolerant distributed web storage based on URLs. J. Converg. 2(1), 79–86 (2011) Google Scholar
  8. 8.
    Hutchings, A., Morgan, A., Vanderkelen, G.: MySQL cluster tutorial. In: O’Reilly MySQL Conference & Expo (2010) Google Scholar
  9. 9.
    Iddrisl, F.: Adoption of E-Commerce solutions in small and medium-sized enterprises in Ghana. Eur. J. Business Manag. 4(10) (2012) Google Scholar
  10. 10.
    Ijtihadie, R.M., Hidayanto, B.C., Affandi, A., Chisaki, Y., Usagawa, T.: Dynamic content synchronization between learning management systems over limited bandwidth network. Hum.-Cent. Comput. Inf. Sci. (2012). doi: 10.1186/2192-1962-2-17 Google Scholar
  11. 11.
  12. 12.
    Linux-HA Project.
  13. 13.
    Matsudaira, K.: Scalable web architecture and distributed systems. The architecture of open source applications.
  14. 14.
  15. 15.
  16. 16.
    Nuazi, M., et al.: Introducing fault-tolerance and responsiveness in web applications using SREFTIA. In: International Multiconference on Computer Science and Information Technology, pp. 271–278 (2006) Google Scholar
  17. 17.
  18. 18.
  19. 19.
  20. 20.
    Reisner, P., Ellenberg, L.: Distributed replicated block device (DRBD) (2012).
  21. 21.
    Song, E., Kim, H., Jeong, Y.: Visual monitoring system of multi-hosts behavior for trustworthiness with mobile cloud, visual monitoring system of multi-hosts behavior for trustworthiness with mobile cloud. J. Inf. Process. Syst. 8(2), 347–358 (2012) Google Scholar
  22. 22.

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Im Y. Jung
    • 1
  • Wenfeng Cui
    • 2
  • Hyeonsang Eom
    • 2
  • Heon Y. Yeom
    • 2
  1. 1.Kyungpook National UniversityDaeguRepublic of Korea
  2. 2.Seoul National Univ.SeoulRepublic of Korea

Personalised recommendations