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Computer Systems Performance Analysis

  • Course level: Beginner

Description

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 I 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.

Topics for this course

49 Lessons

Computer Systems Performance Analysis

Computer Systems Analysis: Part 100:00:00
Computer Systems Analysis: Part 200:00:00
Computer Systems Analysis: Common Mistakes & How To Avoid Them00:00:00
Computer Systems Analysis: Selection of Techniques & Metrics00:00:00
Computer Systems Analysis: Types of Workloads – Part 100:00:00
Computer Systems Analysis: Types of Workloads – Part 200:00:00
Computer Systems Analysis: The Art of Workload Selection00:00:00
Computer Systems Analysis: The Art of Data Presentation- Part 100:00:00
Computer Systems Analysis: The Art of Data Presentation- Part 200:00:00
Computer Systems Analysis: Ratio Games00:00:00
Computer Systems Analysis: Summarizing Measured Data – Part 100:00:00
Computer Systems Analysis: Summarizing Measured Data – Part 200:00:00
Computer Systems Analysis: Summarizing Measured Data – Part 300:00:00
Computer Systems Analysis: Summarizing Measured Data – Part 400:00:00
Computer Systems Analysis: Comparing Systems Using Sample Data – Part 100:00:00
Computer Systems Analysis: Comparing Systems Using Sample Data – Part 200:00:00
Computer Systems Analysis: Comparing Systems Using Sample Data – Part 300:00:00
Simple Linear Regression Models: Part 100:00:00
Simple Linear Regression Models: Part 200:00:00
Other Regression Models: Part 100:00:00
Other Regression Models: Part 200:00:00
Other Regression Models: Part 300:00:00
Other Regression Models: Part 400:00:00
Introduction to Experimental Design00:00:00
2^(k-p) Fractional Factorial Design00:00:00
One Factor Experiments00:00:00
Two Factors Full Factorial Design without Replications00:00:00
Two Factors Full Factorial Design With Replications00:00:00
General Full Factorial Design With k Factors00:00:00
Analysis of A Single Queue00:00:00
Random Number Generation: Part 100:00:00
Random Number Generation: Part 200:00:00
Random Number Generation: Part 300:00:00
Introduction to Queueing Theory: Part 100:00:00
Introduction to Queueing Theory: Part 200:00:00
Queueing Networks00:00:00
Operational Laws for Computer Systems Performance Evaluation: Part 100:00:00
Operational Laws for Computer Systems Performance Evaluation: Part 200:00:00
Mean Value Analysis and Related Techniques: Part 100:00:00
Mean Value Analysis and Related Techniques: Part 200:00:00
Introduction to Time Series Analysis: Part 100:00:00
Introduction to Time Series Analysis: Part 200:00:00
Heavy-Tailed Distributions,Self-Similar Processes, and Long-Range Dependence: Part 100:00:00
Heavy-Tailed Distributions,Self-Similar Processes, and Long-Range Dependence: Part 200:00:00
Heavy-Tailed Distributions, Self-Similar Processes, and Long-Range Dependence: Part 300:00:00
2^k Factorial Designs: Part 100:00:00
2^k Factorial Designs: Part 200:00:00
2^kr Factorial Designs: Part 100:00:00
2^kr Factorial Designs: Part 200:00:00
Computer Systems
Free

Enrolment validity: Lifetime