Intelligence Infrastructure: Architecture Discussion: Performance, Availability and Management

  • Giovanni Gómez Zuluaga
  • Cesar Sanín
  • Edward Szczerbicki
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6277)


Organizations develop a growth strategy of their informational platform based on certain key drivers. This determines business plans and their future informational and analytical capacity. However, each solution has a different deployment depending upon the selected architecture and the management model. In the specific case of Business Intelligence (BI) infrastructures, this should be decided according to the speed of the decision making processes, which is usually executing on real time. Therefore, it determines the flexibility rate at which the business can grow. Businesses grow but the key drivers can remain the same. This paper analyzes the elements required for an optimal deployment of business architecture.


Virtual Machine Load Balancer Business Intelligence Business Architecture Business Intelligence System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
  2. 2.
    McLaughlin, B.: Business Logic, Part 1. Building Java Enterprise Applications, Architecture, vol. I.O’Reilly and Associates (2002)Google Scholar
  3. 3.
    Maiwald, E.: Network Security: A Beginner’s Guide, 2nd edn. McGraw-Hill, Osborne (2003)Google Scholar
  4. 4.
    IBM. Semiconductor Solutions,
  5. 5.
  6. 6.
    Sun Microsystems. Multithread Programming Guide. Part No: 816–5137–12 (2008)Google Scholar
  7. 7.
    Elbaz, R., Champagne, D., Gebotys, C., Lee, R., Potlapally, N., Torres, L.: Hardware Mechanisms for Memory Authentication: A Survey of Existing Techniques and Engines. In: Gavrilova, M.L., Tan, C.J.K., Moreno, E.D. (eds.) Transactions on Computational Science IV. LNCS, vol. 5430, pp. 1–22. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  8. 8.
    Kasim, H., March, V., Zhang, R., See, S.: Survey on Parallel Programming Model. In: Cao, J., Li, M., Wu, M.-Y., Chen, J. (eds.) NPC 2008. LNCS, vol. 5245, pp. 266–275. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  9. 9.
    Kejariwal, A., Casçaval, C.: Parallelization spectroscopy: analysis of thread-level parallelism in hpc programs. In: Proc. of the 14th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Raleigh, NC, USA, pp. 293–294 (February 2009)Google Scholar
  10. 10.
    Wikipedia. File Area Network,
  11. 11.
    Curtis, W.: Using SANs and NAS: Help for Storage Administrators. O’Reilly Media, Sebastopol (2002)Google Scholar
  12. 12.
    Sun Microsystems: Sun Cluster 3.x With Sun StorEdge A1000 or Netra st A1000 Array Manual for Solaris OS. Part No: 817–0171–10 (2004)Google Scholar
  13. 13.
    Speitkamp, B., Bichler, M.: A Mathematical Programming Approach for Server Consolidation Problems in Virtualized Data Centers. IEEE Transactions on Services Computing 99 (2010)Google Scholar
  14. 14.
    Kalligeros, K.: Platforms and real options in large-scale engineering systems. Massachusetts Institute of Technology. Engineering Systems Division. Massachusetts Institute of Technology (2006)Google Scholar
  15. 15.
    Chee-Wei, A., Chen-Khong, T.: Analysis and optimization of service availability in a HA cluster with load-dependent machine availability. IEEE Transactions on Parallel and Distributed Systems 18(9), 1307–1319 (2007)CrossRefGoogle Scholar
  16. 16.
    Bianco, J., Lees, P., Rabito, K.: Sun Cluster 3 programming: integrating applications into the SunPlex environment. Sun Microsystems Press, Santa Clara (2005)Google Scholar
  17. 17.
    Tulloch, M.: Understanding Microsoft Virtualization R2 Solutions, pp. 23–29. Microsoft Press (2010)Google Scholar
  18. 18.
    Hewitt, C.: ORGs for scalable, robust, privacy-friendly client Cloud Computing. IEEE Internet Computing 12(5), 1–34 (2008)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Giovanni Gómez Zuluaga
    • 1
  • Cesar Sanín
    • 2
  • Edward Szczerbicki
    • 2
  1. 1.Telecomunications Engagement Architect, Sun Microsystems, Inc.BogotaColombia
  2. 2.School of Engineering, Faculty of Engineering and Built EnvironmentThe University of NewcastleCallaghanAustralia

Personalised recommendations