IBM AWMCourse Duration: 40 Hr

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Course Description

IBM Application Workload Modeler is a tool for determining performance of servers and network infrastructure by modeling application traffic.

Course Price: $ 450 $ 400

Features

Live online instructor led sessions by industry veterans. Industry renowed training to boost your resume.
Incredible practicals, workshops, labs, quiz and assignments. Personalized one to one career discussion with the trainer.
Real life case studies and live project to solve real problem Mock interview & resume preparation to excel in interviews
Lifetime access to course, recorded sessions and study materials Premium job assistance and support to step ahead in career

Prerequisites

The required concepts, foundation and background fundamentals will be covered during the early hours of the course to ensure smooth understanding of upcoming concepts.

Curriculum

  • Motivation
  • Addressed Types of Systems
  • Contribution of the Presented Work
  • Open Problems in Performance Evaluation.
  • Demands on a workload modeling framework and methodology for Parallel
    Processing Systems.
  • User System Interaction
  • System under Test and Component under Study
  • Parallel architectures.
  • Parallel Programs
  • Summary of the Framework and the Methodology.
  • Outline of the Thesis
  • Definition of Workload
  • Workload Model Construction in a Performance Evaluation Cycle
  • Constructing a Non- Executable Test Workload Model
  • Workload Components
  • Specifying the Test Workload
  • Parallel Workload Characteristics
  • Influence of the Objective of the Evaluation Study
  • Influence of the Evaluation Techniques
  • Model Parameterization
  • Validation Criteria for Workload Models
  • Parameter Based Models
  • Profiles, Signatures and Shapes
  • Ratio’s for Varying System Size
  • Graph Models
  • Parameter Based Models
  • Profiles, Signatures and Shapes
  • Ratio’s for Varying System Size
  • Undirected Graph Models
  • Directed Graph Models
  • Scalability Concepts
  • Visual Approach for Scalability Analysis
  • Examples
  • Problem Definitions
  • Scalability Index
  • Characterizing the Architecture Size A
  • Characterizing the Amount of Work W
  • Sources of Overhead
  • Evaluation Techniques for Scalability Analysis
  • Performance Characteristics
  • Model Parameters and Definitions
  • Comparison to other Approaches
  • An Embarrassingly Parallel Problem
  • Householder Reduction
  • FFT
  • Finite Element Method
  • Abbreviations and Symbols
  •  Definitions and Derivation
  • Abbreviations and Symbols
  • Petri Nets
  • Series Parallel Graphs
  • Stochastic Process
  • Queuing Networks
  • Complexity Notation
  • Bounds on and Relations between Ratios’s
  • Bounds
  • Relations

FAQs

The tools you’ll need to attend training are:
  • Windows: Windows XP SP3 or higher
  • Mac: OSX 10.6 or higher
  • Internet speed: Preferably 512 Kbps or higher
  • Headset, speakers and microphone: You’ll need headphones or speakers to hear instruction clearly, as well as a microphone to talk to others. You can use a headset with a built-in microphone, or separate speakers and microphone.
The trainings are delivered by highly qualified and certified instructors with relevant industry experience.

People from various domains with no prior knowledge of this technology have got successfully trained with us and are now working in the this industry. Though, knowledge of basics is an added advantage.

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