Computer System Performance Modeling In Perspective

A Tribute To The Work Of Prof Kenneth C Sevcik

By: Erol Gelenbe (Editor)

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Hardcover | 21 September 2006

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288 Pages

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22.86 x 15.24 x 1.91

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Computer system performance evaluation is a key discipline for the understanding of the behavior and limitations of large scale computer systems and networks. This volume provides an overview of the milestones and major developments of the field.The contributions to the book include many of the principal leaders from industry and academia with a truly international coverage, including several IEEE and ACM Fellows, two Fellows of the US National Academy of Engineering and a Fellow of the European Academy, and a former President of the Association of Computing Machinery.

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Non-Fiction Computing & I.T.Computer Hardware Computer Science Systems Analysis & Design Computer Architecture & Logic Design Parallel Processing Computer Networking & Communications Booktopia Publisher Services World Scientific Publishing Engineering & Technology Electronics & Communications Engineering

Electronics Engineering

Preface	p. V
Ken Sevcik as an Advisor and Mentor	p. 1
Shadow Servers and Priority Scheduling	p. 47
Introduction	p. 7
Single Class Models	p. 8
Multi-Class Models	p. 8
Importance of Priorities	p. 9
The Shadow Server Approximation	p. 10
Extensions	p. 12
Comments on Significance	p. 13
References	p. 14
On the Chronology of Dynamic Allocation Index Policies: The Pioneering Work of K. C. Sevcik	p. 15
Introduction	p. 15
Sevcik's Smallest-Rank-First Index Policy	p. 16
Background and Chronology	p. 17
Examples	p. 18
Concluding Remarks	p. 19
References	p. 19
Operational Analysis	p. 21
Introduction	p. 21
Dead Cows	p. 21
Dead Cows in Markovian Queueing Networks	p. 22
The Birth of Operational Analysis	p. 24
The Fundamental Assumptions of Operational Analysis	p. 25
Controversy	p. 28
Salute	p. 29
An Historical Footnote	p. 29
References (Published)	p. 29
References (Unpublished Technical Reports)	p. 30
Operational Analysis: A Fable	p. 31
Function Approximation by Random Neural Networks with a Bounded Number of Layers	p. 35
Introduction	p. 35
The GNN and Its Extensions	p. 36
The BGNN model	p. 38
Approximation of Functions of One Variable by the GNN with a Bounded Number of Layers	p. 40
Technical premises	p. 41
BGNN approximation of continuous functions of one variable	p. 44
CGNN approximation of continuous functions of one variable	p. 46
Approximation of Continuous Functions of s Variables	p. 49
Conclusions	p. 53
References	p. 54
Proof of Technical Lemmas	p. 56
The Achilles' Heel of Computer Performance Modeling and the Model Building Shield	p. 59
Introduction	p. 59
The Current Status of Model Building	p. 60
System Multilevel Description	p. 61
The system vertical description	p. 62
The system horizontal description	p. 63
The system software description	p. 64
The Multilevel Model Building Method	p. 68
The top-down bottom-up process	p. 68
Comparison with Existing Approaches	p. 71
Conclusions	p. 72
Acknowledgment	p. 72
References	p. 73
Wireless Network Simulation: Towards a Systematic Approach	p. 75
Introduction	p. 76
Background and Model	p. 78
Description of Our Framework	p. 79
System parameters	p. 79
Performance metrics	p. 80
Our framework	p. 81
Experimental Results	p. 82
Parameters that affect steady state utilization	p. 82
The significance of steady state arrival rate	p. 86
Discussion and applications	p. 87
Homogeneity	p. 90
Related work	p. 91
Metrics for comparison	p. 92
Evaluation	p. 92
Cell shape (number of neighbors)	p. 92
User speed	p. 96
User bandwidth requirement	p. 97
Conclusion	p. 98
References	p. 99
Location- and Power-Aware Protocols for Wireless Networks with Asymmetric Links	p. 101
Introduction and Motivation	p. 102
Related Work	p. 104
The Model of the System	p. 106
m-Limited Forwarding	p. 110
Simulation study	p. 112
Routing Protocol	p. 118
Neighbor discovery	p. 119
Location and power update	p. 120
Route discovery	p. 120
Route maintenance	p. 121
MAC Protocol	p. 121
Topological considerations	p. 121
A solution to the hidden node problem	p. 124
Node status	p. 126
Medium access model	p. 126
A simulation study	p. 128
Cross-Layer Architecture	p. 130
Work in Progress	p. 131
Summary	p. 132
Acknowledgments	p. 133
References	p. 133
Multi-Threaded Servers with High Service Time Variation for Layered Queueing Networks	p. 137
Introduction	p. 137
Residence Time Expressions	p. 138
MVA waiting time expressions	p. 139
Accuracy and Computation-Time Comparisons	p. 141
Example Case Studies	p. 143
Systems management example	p. 143
Electronic bookstore example	p. 144
Conclusions	p. 148
Acknowledgments	p. 150
Marginal Probabilities	p. 150
de Souza e Silva and Muntz Approximation	p. 152
References	p. 152
Quantiles of Sojourn Times	p. 155
Introduction	p. 156
Time Delays in the Single Server Queue	p. 158
Waiting time distribution in the M/G/1 queue	p. 158
Busy periods	p. 159
Waiting times in LCFS queues	p. 160
Waiting times with Processor-Sharing discipline	p. 162
MM CPP/GE/c G-Queues: Semi-Numerical Laplace Transform Inversion	p. 162
Time Delays in Networks of Queues	p. 166
Open networks	p. 167
Closed networks	p. 169
Cyclic networks	p. 173
Paths with service rates all equal	p. 174
Passage Times in Continuous Time Markov Chains	p. 174
First passage times in CTMCs	p. 174
Uniformization	p. 175
Hypergraph partitioning	p. 176
Parallel algorithm and tool implementation	p. 177
Numerical example	p. 179
Passage Times in Continuous Time Semi-Markov Processes	p. 182
First passage times in SMPs	p. 183
Iterative passage time algorithm	p. 185
Laplace transform inversion	p. 186
Implementation	p. 187
Numerical example	p. 187
Conclusion	p. 190
References	p. 191
Asymptotic Solutions for Two Non-Stationary Problems in Internet Reliability	p. 195
Introduction	p. 195
Poisson Approximation for the Number of Failed Routers	p. 197
Asymptotics of Lost Bandwidth	p. 200
References	p. 204
Burst Loss Probabilities in an OBS Network with Dynamic Simultaneous Link Possession	p. 205
Introduction	p. 205
Problem Description	p. 208
A Queueing Network Model for an OBS Path	p. 209
The arrival process	p. 211
The Decomposition Algorithm	p. 213
An example	p. 213
Analysis of sub-system 1	p. 213
Analysis of sub-system 2	p. 215
The iterative procedure	p. 216
The decomposition algorithm	p. 217
Calculation of the burst loss probability	p. 219
Numerical Results	p. 220
Conclusions	p. 223
References	p. 224
Stochastic Analysis of Resource Allocation in Parallel Processing Systems	p. 227
Introduction	p. 227
Model of Parallel Processing Systems	p. 230
Analysis of Dynamic Spacesharing	p. 232
Irreducibility and stability criterion	p. 235
Special case: Exponential model parameters	p. 235
Performance measures	p. 237
Analysis of Memory Reference Behavior	p. 239
Program behavior models	p. 240
Intra-locality memory overhead	p. 244
Inter-locality memory overhead	p. 245
Calculation of N[subscript I]	p. 246
Calculation of C[subscript I]	p. 247
Total memory overhead	p. 250
Conclusions	p. 250
Acknowledgment	p. 251
References	p. 251
Periodic Task Cluster Scheduling in Distributed Systems	p. 257
Introduction	p. 257
Model and Methodology	p. 260
System and workload models	p. 260
Scheduling strategies	p. 262
Performance metrics	p. 263
Model implementation and input parameters	p. 263
Simulation Results and Performance Analysis	p. 264
Normal distribution case	p. 264
Uniform distribution case	p. 271
Conclusions and Future Research	p. 273
References	p. 273
Table of Contents provided by Ingram. All Rights Reserved.

Computer System Performance Modeling In Perspective

A Tribute To The Work Of Prof Kenneth C Sevcik

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Hardcover

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