Introduction to Computer and Network Performance Analysis using Queuing Systems

Introduction to Computer and Network Performance Analysis using Queuing Systems

@VTU COE

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What you will learn

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Analyzing the performance of any computer or networked system: such as Web application servers, packet scheduling disciplines, operating system schedulers, cellular telephony networks is an important step in the design and deployment of such systems. Performance of many systems can be measured, but a sound basis in queuing system models is required for two important aspects: 1) to ensure that the performance tests are performance field data is correct, and 2) for predicting the performance of a system in a scenario that cannot be measured. The theory of queues is a mathematical theory that helps model a wide range of computing and networking systems with a common abstraction of a queuing system. In this course, you will learn the most basic results in queuing systems, in an intuitive way, and learn how to apply them to computer and network systems performance. The focus in this short course will be on being able to reason about asymptotic values of performance metrics at high loads and low loads, which is very useful in validating results of performance tests. Practical examples of performance analysis of networked servers (e.g. a Web server), of packet network links, of cellular networks etc, will be provided. A case study of interpreting the load test results of a simple Web Server using the framework of queuing systems will be covered throughout the course.

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Lecture 1.1: Introduction, why do delays happen, contention for resources
Preview 27:27
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Lecture 1.2: Performance metrics and parameters
Preview 32:49
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Lecture 1.3: Introducing Queuing Systems
Preview 35:48
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Lecture 1.4: Memoryless Distributions
Preview 17:40
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Lecture 1.5: Operational Laws
Preview 35:04

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Lecture 2.1: Asymptotic Analysis of G/G/1, G/G/1/K queues
Preview 17:24
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Lecture 2.2: Asymptotic Analysis of G/G/c/K queues
Preview 32:49
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Lecture 2.3: Little's Law
Preview 28:25
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Lecture 2.4: Little’s Law examples and A Case Study of Open Load test on a Web server
Preview 32:36
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Lecture 2.5: Some results for M/G/1 queue and Memoryless Arrivals
Preview 36:53

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Lecture 3.1:Continuing the Case Study of Open Load test on a web server (Response Time)
Preview 21:26
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Lecture 3.2: Open queuing networks - tandem queuing network
Preview 34:56
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Lecture 3.3: Open queuing networks - general (Jackson) queuing networks
Preview 28:58
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Lecture 3.4: Open queuing networks - examples
Preview 27:21
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Lecture 3.5: Closed Queuing Systems
Preview 32:02

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Lecture 4.1: Closed Queuing System (continued)
Preview 31:27
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Lecture 4.2: Case study of Closed Load Test on a Web Server
Preview 27:40
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Lecture 4.3: General formulation of Jacksonian Closed Queuing Networks
Preview 30:49
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Lecture 4.4: Mean Value Analysis for Closed Queuing Networks
Preview 25:13
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Lecture 4.5:Mean Value Analysis examples,Case Study of a Load test on a web server,Closing Remarks.
Preview 32:54
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Meet Your Instructor
@VTU COE
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Instructor
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8558 Students
802 Courses
About Instructor

VTU is one of the largest Technological Universities in India with 24 years of Tradition of excellence in Engineering & Technical Education, Research and Innovations. It came into existence in the year 1998 to cater the needs of Indian industries for trained technical manpower with practical experience and sound theoretical knowledge.

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Free

  • Course Duration
    9 h 56 m 18 s
  • Course Level
    Basic
  • Student Enrolled
    0
  • Language
    English
This Course Includes
  • 9 h 56 m 18 s Video Lectures
  • 0 Quizzes
  • 0 Assignments
  • 0 Downloadable Resources
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  • Certificate of Completion