Simulating a complex software system

ABSTRACT

This paper describes the simulation problems and techniques associated with modeling a complex computer software system. In this study, modeling techniques such as: hybrid simulation, bit packing, mirroring, post-simulation statistical analysis and other special simulation programming techniques are presented together with the results of their application.

REFERENCES

• 1: Becket, S. T. sumd D. S. Mok. 1989. "Predictin8 the Performance of a Computer System with Complex Priority Queues', Proceedings of the International Conference on Management and Performance Evtlustion of Computer Systems, CMG' 89, (Reno, Nevada, Dec. 11-1.5), 90-98.
• 2: S. T. Becker , K. M. Rege , B. Sengupta, A modeling methodology for sizing A computer based system in a netted environment, Proceedings of the 1984 ACM SIGMETRICS conference on Measurement and modeling of computer systems, p.149-157, January 1984
• 3: jaJswad, N. K. 1968. "Priority Queuu.~ Academic Press, New York, New York.
• 4: H. D. Schwetman, Hybrid simulation models of computer systems, Communications of the ACM, v.21 n.9, p.718-723, Sept. 1978 [doi>10.1145/359588.359594]

INDEX TERMS

Primary Classification:
  D. Software
  D.2 SOFTWARE ENGINEERING
        D.2.10 Design**
            Subjects: Methodologies**

Additional Classification:
  C. Computer Systems Organization
  C.4 PERFORMANCE OF SYSTEMS
      Subjects: Modeling techniques
  C.5 COMPUTER SYSTEM IMPLEMENTATION
      C.5.1 Large and Medium ("Mainframe") Computers
          Subjects: Super (very large) computers

  D. Software
  D.2 SOFTWARE ENGINEERING

  K. Computing Milieux
  K.6 MANAGEMENT OF COMPUTING AND INFORMATION SYSTEMS
      K.6.3 Software Management
          Subjects: Software development

General Terms:
Algorithms, Design, Languages, Management, Performance