Probability Models for Multiprogramming Computer Systems
Journal of the ACM (JACM)
The simulation of time sharing systems
Communications of the ACM
A Markovian model of the university of Michigan executive system
Communications of the ACM
ACM '65 Proceedings of the 1965 20th national conference
An analysis of time-sharing computer systems using Markov models
AFIPS '66 (Spring) Proceedings of the April 26-28, 1966, Spring joint computer conference
Trace driven analysis of a batch processing system
ANSS '73 Proceedings of the 1st symposium on Simulation of computer systems
Developing a cost-effective virtual cluster on the cloud
GECON'11 Proceedings of the 8th international conference on Economics of Grids, Clouds, Systems, and Services
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A trace-driven modeling techniques for computer system evalution is discussed. This approach intends to solve the inherent dilemma in computer systems modeling of too many simplifying assumptions or of too much detail. An experimental model based on this technique is also discussed. The objective of the model is to study the effect on performance of various. Model implementation is focused on those aspects of the systems contributing substantially to total system performance. While the operating system is conceptually modeled, detailed logic and timing are supplied in the job-trace profile, reducing modeling effort and improving model flexibility.