Planning and Implementation

  • Dinesh Chandra Verma

Computer systems planning and implementation are an essential ingredient for smooth and efficient operation of any computer system . Planning is a required prerequisite when installing a new computer system or upgrading an existing computer system to address new requirements. Planning marks the first stage of the life cycle of computer systems. In this chapter, we look at the principles and techniques that lie underneath computer systems planning. We also discuss issues related to the implementation phase .


Computer System Data Center Load Balancer Network Switch Request Rate 
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.


  1. 1.
    D. Menasce et al., Performance by Design: Computer Capacity Planning by Example, Prentice Hall, 2004.Google Scholar
  2. 2.
    D. Berteskas and R. Gallager, Data Networks (2nd Edition), Prentice Hall, 1992.Google Scholar
  3. 3.
    R. Jain, The Art of Computer Systems Performance Analysis, Wiley 1991.Google Scholar
  4. 4.
    E. Lazowska, J. Zohorjan, S. Graham and K. Sevcik, Comptuer Systems Analysis using Network Models, Prentice Hall, 1984. Available at
  5. 5.
    D. Ferrari, Computer Systems Performance Analysis, Prentice Hall, 1978.Google Scholar
  6. 6.
    D. Gross and C. Harris, Fundamentals of Queueing Theory, Wiley, 1998.Google Scholar
  7. 7.
    L. Kleinrock, Queueing Systems. Volume 1: Theory, Wiley, 1975.Google Scholar
  8. 8.
    S. Bose, An Introduction to Queueing Systems (Network and Systems Management), Springer, 2001.Google Scholar
  9. 9.
    M. Slooman, Reliability of Computer Systems & Networks, Wiley Interscience, 2001.Google Scholar
  10. 10.
    M. Xie, K. Poh and Y. Dai, Computing System Reliability: Models and Analysis, Springer, 2004.Google Scholar
  11. 11.
    H. Kumamoto and E. Henley, Probabilistic Risk Assessment and Management for Engineers and Scientists, Wiley-IEEE Press, 2000.Google Scholar
  12. 12.
    L.R. Ford, and D.R. Fulkerson, Flows in Networks. Princeton, NJ: Princeton University Press, Princeton, NJ, 1962.MATHGoogle Scholar
  13. 13.
    R. Tarjan, Data Structures and Network Algorithms, Society of Industrial Mathematics, 1987.Google Scholar
  14. 14.
    D. Butler, An Importance Ranking for System Components Based upon Cuts, Operations Research, 25(5): 874–879, September – October, 1977).Google Scholar
  15. 15.
    T. Pham, Handbook of Reliability Engineering, Springer-Verlag, 2003.Google Scholar
  16. 16.
    F. Hwang, A hierarchy of importance indices, IEEE Transactions on Reliability, 54(1): 169–172, March 2005.CrossRefGoogle Scholar
  17. 17.
    M. Beitelmal and C. Patel, Thermo-Fluids Provisioning of a High Performance High density data center, Hewlett Packard Technical Report HP-2004-146, September 2004.Google Scholar
  18. 18.
    C. Patel, R. Sharma, C. Bash, and A. Beitelmal, Thermal Considerations in Cooling Large Scale High Compute Density Data Centers, ITherm 2002 – Eighth Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems, San Diego, CA, May 2002.Google Scholar
  19. 19.
    T. Maniwa, Soaring Power Consumption Drives Thermal Analysis Tools, Electronic Design, September 2002,
  20. 20.
    R. Simmons, Using a simple air recirculation model to explore computer rack cooling, Electronics Cooling Magazine, February 2007.
  21. 21.
    R. Simmons, Estimating the effect of intercoolers for computer rack cooling, Electronics Cooling Magazine, May 2007.
  22. 22.
    R. Cahn, Wide Area Network Design: Concepts & Tools for Optimization, Morgan Kaufmann, 1998.Google Scholar
  23. 23.
    R. Snevely, Enterprise Data Center Design and Methodology, Sun BluePrints, Prentice Hall, 2002.Google Scholar
  24. 24.
    T. Kenyon, High Performance Data Network Design, IDC Technologies, 2001.Google Scholar
  25. 25.
    T. Eilam et al., Managing the Configuration Complexity of Distributed Applications in Internet Data Centers, IEEE Communications Magazine, March 2006, pp. 166–177.Google Scholar
  26. 26.
    J. Marchewka, Information Technology Project Management, Wiley, 2006.Google Scholar
  27. 27.
    K. Schwalbe, Information Technology Project Management, Course Technology, 2007.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  1. 1.IBM T.J. Watson Research CenterYorktown HeightsUSA

Personalised recommendations