Forecasting Oracle PerformanceContained in this book are, dare I say, secrets—really. There is a mystery surrounding topics like forecasting, performance management, capacity planning, performance modeling, p- formance prediction, and managing service levels. Add into the mix a dynamic Oracle system, and you have realities that bring professional capacity planners to their knees. In the pages of this book are the secrets I’ve uncovered and discovered through more than 20 years of working with literally thousands of IT professionals around the world. My goal is to expose these secrets as plainly and completely as I possibly can. One of these secrets is unraveling the relationship between service-level management and forecasting Oracle performance. The difficulty lies in the breadth and depth of each of these topics. They are both massive and fork off in a variety of directions. If you are able to bring the two together, you will be able to architect, build, use, and explain to others how they can better manage the delivery of IT services. I will, as clearly as I can throughout this book, present both these areas of IT and then weave them together. The result will leave you with a confident understanding so you can deal with the realities of IT. |
Contents
Introduction to Performance Forecasting | 1 |
CHAPTER | 3 |
CHAPTER | 5 |
CHAPTER | 8 |
Essential Performance Forecasting | 13 |
Increasing Forecast Precision | 39 |
Baseline Selection | 46 |
Average Calculation | 59 |
Basic Forecasting Statistics | 75 |
Making Inferences | 89 |
Practical Queuing Theory | 95 |
Methodically Forecasting Performance | 139 |
Characterizing the Workload | 153 |
Ratio Modeling | 185 |
Linear Regression Modeling | 199 |
Scalability | 229 |
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Common terms and phrases
activity actually additional analysis answer application areas arrival rate asked average baseline batch becomes better calculate called capacity chapter characterization close collection communicate complex computing confidence configuration contains CPU subsystem CPU utilization create curve database determine develop devices distribution enter Erlang error essential example expected Figure forecast model formulas gathering going graph hour important increase linear look math mathematics mean method minutes multiple normal occur Once operating Oracle orders peak performance physical CPUs possible precision presented production question queue queuing theory ratio ratio modeling regression relationship remove residual response result risk sample scalability seconds server service levels sessions shown shows significant simple simulation single standard deviation statistics step study question Table technical throughput transaction understand users validation workload
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Page xiii - Performance, and the lead designer and developer of the Hotsos PD101 course. Prior to co-founding Hotsos in 1999, he served for ten years at Oracle Corporation as one of the company's leading system performance experts. At Oracle, he also founded and served as vice president of the 80-person System Performance Group. He has educated thousands of Oracle consultants, support analysts, developers, and customers in the optimal use of Oracle technology through commitment to writing, teaching, and speaking...