## Feedback Control of Computing SystemsThis is the first practical treatment of the design and application of feedback control of computing systems. MATLAB files for the solution of problems and case studies accompany the text throughout. The book discusses information technology examples, such as maximizing the efficiency of Lotus Notes. This book results from the authors' research into the use of control theory to model and control computing systems. This has important implications to the way engineers and researchers approach different resource management problems. This guide is well suited for professionals and researchers in information technology and computer science. |

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### Contents

PART II SYSTEM MODELING | 29 |

PART III CONTROL ANALYSIS AND DESIGN | 243 |

APPENDIX A MATHEMATICAL NOTATION | 397 |

APPENDIX B ACRONYMS | 401 |

APPENDIX C KEY RESULTS | 403 |

APPENDIX D ESSENTIALS OF LINEAR ALGEBRA | 409 |

APPENDIX E MATLAB BASICS | 413 |

421 | |

427 | |

### Other editions - View all

Feedback Control of Computing Systems Joseph L. Hellerstein,Yixin Diao,Sujay Parekh,Dawn M. Tilbury No preview available - 2004 |

Feedback control of computing systems Joseph Hellerstein,Sujay Parekh,Yixin Diao,Dawn M. Tilbury No preview available - 2004 |

### Common terms and phrases

analysis Apache HTTP Server BIBO stable block diagram bu(k buffer Chapter characteristic polynomial closed-loop poles closed-loop system closed-loop transfer function complex poles computing systems consider control error control input controller design CPU utilization difference equation disturbance input dominant pole dynamic state feedback effect estimate example feedback gains first-order system IBM Lotus Domino increases initial conditions input signal integral control KeepAlive linear loop Lotus Domino Server magnitude MATLAB matrix MaxClients maximum overshoot MaxUsers measured output moving-average filter Note operating point parameters PI controller plot pole placement design precompensation predicted proportional control reference input requests root locus RPCs second-order systems Section sensor settling shown in Figure simulation state-space model static state feedback steady-state error steady-state gain steady-state value step input step response stochastics system identification tandem queue target system time-domain transfer function G(z transient response unit circle variables vector workload Z-transform zero