A Straightforward Model for Computer Performance Prediction
ACM Computing Surveys (CSUR)
Analysis of system bottlenecks using a queueing network model
Proceedings of the SIGOPS workshop on System performance evaluation
Considerations on the "figure of merit" technique for storage hierarchy design
ACM SIGARCH Computer Architecture News
A critical overview of computer performance evaluation
ICSE '76 Proceedings of the 2nd international conference on Software engineering
A methodology for multi-criteria information system design
AFIPS '77 Proceedings of the June 13-16, 1977, national computer conference
Performance study of active tracking in a cellular network using a modular signaling platform
Proceedings of the 8th international conference on Mobile systems, applications, and services
Approximate techniques for modeling the performance of complex systems
Computer Languages
Does lean imply green?: a study of the power performance implications of Java runtime bloat
Proceedings of the 12th ACM SIGMETRICS/PERFORMANCE joint international conference on Measurement and Modeling of Computer Systems
| Hi-index | 0.00 |
A number of laws are derived which establish relationships between throughput, response time, device utilization, space-time products and various other factors related to computer system performance. These laws are obtained by using the operational method of computer system analysis. The operational method, which differs significantly from the conventional stochastic modeling approach, is based on a set of concepts that correspond naturally and directly to observed properties of real computer systems. Except for measurement errors, the operational laws presented in this paper apply with complete precision to all collections of observational data, and they are similar to fundamental laws found in other areas of engineering and applied science.