Introduction to Computer System Performance EvaluationIn this book, Krishna Kant provides a completely up-to-date treatment of the fundamental techniques of computer system performance modeling and evaluation. He discusses measurement, simulation, and analysis, and places a strong emphasis on analysis by including such topics as basic and advanced queuing theory, product form networks, aggregation, decomposition, performance bounds, and various forms of approximations. Applications involving synchronization between various activities are presented in a chapter on Petri net-based performance modeling, and a final chapter covers a wide range of problems involving steady state analysis, transient analysis, and optimization. |
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Contents
Performance Measures and Evaluation Techniques | 3 |
Measurement Techniques | 24 |
vii | 83 |
Copyright | |
17 other sections not shown
Common terms and phrases
algorithm analysis apply arrival assume average balance behavior blocking bounds called capacity closed complex compute condition consider contains corresponding customers defined definition delay denote depends desired discipline discussed disk distribution easy effect equation estimate event example expected exponential expression firing function given gives important independent interest involves known limiting load load-independent machine Markov chain matrix mean measurement memory method monitoring node Note observations obtained operational output parallel parameters performance Petri population possible probability problem queue length queuing random variable represent requires resource respectively response sample scheduling server shown similar simple simulation situation solution solve stage station Suppose task technique theorem throughput transition utilization various vector waiting