Using operational standards to enhance system performance

ABSTRACT

There are only three reasons for a data center to vary from service level objectives, i.e., volume, mix, and efficiency. The first two are aspects of user behavior, while only the third is under the full control of the data center. With the proliferation of online systems, user behavior is affecting the data center in realtime. Management processes, technology and software tools exist to provide the basis for scientific management of the data center. Key to this endeavor is the ability to model the system and present in graphic form the relationship between the system and user behavior characteristics. This paper points out the source of data, existing software tools, and graphic methods and includes data and the results from a study and simulation of a data center.

REFERENCES

• 1: Arnold O. Allen, Probability, Statistics, and Queueing Theory with Computer Science Applications, Academic Press, Inc., Orlando, FL, 1978
• 2: C. Warren Axelrod, Computer Effectiveness: Bridging the Management-Technology Gap, Info Resou, 1979
• 3: L. Bronner, Capacity Planning: An Introduction, IBM Technical Bulletin GG22--9001--00 (January 1977).
• 4: L. Bronner, Capacity Planning: Implementation, IBM Technical Bulletin GG22--9015--00 (January 1979).
• 5: J. P. Buzen, "Queueing Network Models of Multiprogramming," Ph.D. Thesis, Harvard University, Cambridge, Mass. (1971).
• 6: Computer, April 1980, IEEE Computer Society (contains several articles of interest).
• 7: Peter F. Drucker, Management: Tasks-Responsibilities-Practices, Harper & Row, New York, N.Y. (1974).
• 8: Jeffrey L. Forman, Change Communication: A Management System, IBM Technical Bulletin GG22--9154--00 (July 1979).
• 9: An Architecture for Managing the Information Systems Business, Volume I: Management Overview, IBM, GE20--0662--0 (January 1980).
• 10: Problem and Change Management in Data Processing---A Survey and Guide, IBM GE19--5201--0 (August 1976).
• 11: IBM Systems Journal, Volume Nineteen, November 1, 1980, "Installation Management, Capacity Planning."
• 12: H. Kobayashi, Modeling and Analysis: An Introduction to System Performance Evaluation Methodology, Addison-Wesley, Reading, Mass. (1978).
• 13: J. D. C. Little, "A Proof of the Queueing Formula, L = λW," Operations Research 9, pgs. 383--387 (1961).
• 14: James Martin, Design of Real-Time Computer Systems, Prentice-Hall, Inc., Upper Saddle River, NJ, 1967
• 15: James Martin, Systems Analysis for Data Transmission, Prentice Hall PTR, Upper Saddle River, NJ, 1978
• 16: Montgomery Phister, Jr., Data Processing Technology and Economics, Santa Monica Publishing Company, 1979
• 17: Charles H. Sauer/K. Mani Chandy, Computer Systems Performance Modeling, Prentice-Hall, Englewood Cliffs, N.J. (1981).
• 18: David R. Vincent, "Software Tools for Service Level Management," Data Management, pgs. 25--29, March 1981.
• 19: David R. Vincent, "Measuring Performance Online," ICP Interface, Data Processing Management, Summer 1980.
• 20: David R. Vincent, "Service Level Management," 1980 CMGXI Proceedings, pgs. 196--207.
• 21: David A. Wren, The Evolution of Management Thought, John Wiley & Sons (1979).