Computer Systems Performance Analysis

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About Course

Computer Systems (CSs) Performance Analysis

In this introduction to (CSs) performance measurement and analysis, you will learn the typical goals of the (CSs) performance analyst, the fundamental techniques used to study the performance of (CSs), and the advantages and disadvantages of the different techniques. You also will be introduced to the concept of performance debugging.

 

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What Will You Learn?

  • Explain the typical goals of computer systems performance analysts.
  • Identify the three fundamental techniques used to analyze and compare computer performance.
  • Explain the strengths and weaknesses of each of the fundamental performance evaluation techniques.

Course Content

Computer Systems Performance Analysis

  • Computer Systems Analysis: Part 1
    00:00
  • Computer Systems Analysis: Part 2
    00:00
  • Computer Systems Analysis: Common Mistakes & How To Avoid Them
    00:00
  • Computer Systems Analysis: Selection of Techniques & Metrics
    00:00
  • Computer Systems Analysis: Types of Workloads – Part 1
    00:00
  • Computer Systems Analysis: Types of Workloads – Part 2
    00:00
  • Computer Systems Analysis: The Art of Workload Selection
    00:00
  • Computer Systems Analysis: The Art of Data Presentation- Part 1
    00:00
  • Computer Systems Analysis: The Art of Data Presentation- Part 2
    00:00
  • Computer Systems Analysis: Ratio Games
    00:00
  • Computer Systems Analysis: Summarizing Measured Data – Part 1
    00:00
  • Computer Systems Analysis: Summarizing Measured Data – Part 2
    00:00
  • Computer Systems Analysis: Summarizing Measured Data – Part 3
    00:00
  • Computer Systems Analysis: Summarizing Measured Data – Part 4
    00:00
  • Computer Systems Analysis: Comparing Systems Using Sample Data – Part 1
    00:00
  • Computer Systems Analysis: Comparing Systems Using Sample Data – Part 2
    00:00
  • Computer Systems Analysis: Comparing Systems Using Sample Data – Part 3
    00:00
  • Simple Linear Regression Models: Part 1
    00:00
  • Simple Linear Regression Models: Part 2
    00:00
  • Other Regression Models: Part 1
    00:00
  • Other Regression Models: Part 2
    00:00
  • Other Regression Models: Part 3
    00:00
  • Other Regression Models: Part 4
    00:00
  • Introduction to Experimental Design
    00:00
  • 2^(k-p) Fractional Factorial Design
    00:00
  • One Factor Experiments
    00:00
  • Two Factors Full Factorial Design without Replications
    00:00
  • Two Factors Full Factorial Design With Replications
    00:00
  • General Full Factorial Design With k Factors
    00:00
  • Analysis of A Single Queue
    00:00
  • Random Number Generation: Part 1
    00:00
  • Random Number Generation: Part 2
    00:00
  • Random Number Generation: Part 3
    00:00
  • Introduction to Queueing Theory: Part 1
    00:00
  • Introduction to Queueing Theory: Part 2
    00:00
  • Queueing Networks
    00:00
  • Operational Laws for Computer Systems Performance Evaluation: Part 1
    00:00
  • Operational Laws for Computer Systems Performance Evaluation: Part 2
    00:00
  • Mean Value Analysis and Related Techniques: Part 1
    00:00
  • Mean Value Analysis and Related Techniques: Part 2
    00:00
  • Introduction to Time Series Analysis: Part 1
    00:00
  • Introduction to Time Series Analysis: Part 2
    00:00
  • Heavy-Tailed Distributions,Self-Similar Processes, and Long-Range Dependence: Part 1
    00:00
  • Heavy-Tailed Distributions,Self-Similar Processes, and Long-Range Dependence: Part 2
    00:00
  • Heavy-Tailed Distributions, Self-Similar Processes, and Long-Range Dependence: Part 3
    00:00
  • 2^k Factorial Designs: Part 1
    00:00
  • 2^k Factorial Designs: Part 2
    00:00
  • 2^kr Factorial Designs: Part 1
    00:00
  • 2^kr Factorial Designs: Part 2
    00:00

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