This course provides students with knowledge of IP QoS requirements, conceptual models such as best effort, IntServ, and DiffServ, and the implementation of QoS on Cisco platforms.

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* Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Learning Objectives

At course completion students will be able to:
- Explain the need for QoS, describe the fundamentals of QoS policy, and identify and describe the different models that are used for ensuring QoS in a network
- Explain the use of MQC and AutoQoS to implement QoS on the network and describe some of the mechanisms used to monitor QoS implementations
- Given a converged network and a policy defining QoS requirements, classify and mark network traffic to implement the policy
- Use Cisco QoS queuing mechanisms to manage network congestion
- Use Cisco QoS congestion avoidance mechanisms to reduce the effects of congestion on the network
- Use Cisco QoS traffic policing and traffic shaping mechanisms to effectively limit the rate of network traffic
- Given a low speed WAN link, use Cisco link efficiency mechanisms to improve the badwidth efficiency of the link
- Describe the recommended best practices and methods used for end-to-end QoS deployment in the enterprise

1
  • Introduction to QoS

  • Review Converged Networks
    Understand QoS
    Describe Best-Effort and Integrated Services Models
    Describe the Differentiated Services Model
    Module Summary
    Module Self-Check

2
  • Implement and Monitor QoS

  • MQC Introduction
    Monitor QoS
    Define Campus AutoQoS
    Define WAN AutoQoS
    Module Summary
    Module Self-Check
    Lab 2-1- IP SLA Setup and QoS Baseline Measurement
    Lab 2-2- Configuring QoS with Cisco AutoQoS

3
  • Classification and Marking

  • Classification and Marking Overview
    Case Study 3-1- Classification and Marking
    MQC for Classification and Marking
    NBAR for Classification
    Use of QoS Preclassify
    Campus Classification and Marking
    Module Summary
    Module Self-Check
    Lab 3-1- Classification and Marking Using MQC
    Lab 3-2- Using NBAR for Classification
    Lab 3-3- Configuring QoS Preclassify
    Lab 3-4- Campus Classification and Marking Using MQC

4
  • Congestion Management

  • Queuing Introduction
    Configure WFQ
    Configure CBWFQ and LLQ
    Configure Campus Congestion Management
    Module Summary
    Module Self-Check
    Lab 4-1- Configuring Fair Queuing
    Lab 4-2- Configuring LLQ-CBWFQ
    Lab 4-3- Configuring Campus-Based Queuing Mechanisms

5
  • Congestion Avoidance

  • Congestion Avoidance Introduction
    Configure Class-Based WRED
    Case Study 5-1- WRED Traffic Profiles
    Configure ECN
    Describe Campus-Based Congestion Avoidance
    Module Summary
    Module Self-Check
    Lab 5-1- Configuring DSCP-Based WRED
    Lab 5-2- Configuring WTD Thresholds

6
  • Traffic Policing and Shaping

  • Traffic Policing and Shaping Overview
    Configure Class-Based Policing
    Campus Policing
    Configure Class-Based Shaping
    Configure Class-Based Shaping on Frame Relay Interfaces
    Configure Frame Relay Voice-Adaptive Traffic Shaping and Fragmentation
    Module Summary
    Module Self-Check
    Lab 6-1- Configuring Class-Based Policing
    Lab 6-2- Configuring Class-Based Shaping

7
  • Link Efficiency Mechanisms

  • Link Efficiency Mechanisms Overview
    Configure Class-Based Header Compression
    Configure LFI
    Module Summary
    Module Self-Check
    Lab 7-1- Configuring Class-Based Header Compression
    Lab 7-2- Configuring LFI

8
  • Deploying End-to-End QoS

  • Apply Best Practices for QoS Policy Design
    End-to-End QoS Deployments
    Module Summary
    Module Self-Check
    Lab 8-1- Mapping Enterprise QoS Policy to the Service Provider Policy

Audience

This course is ideal for those who are a Channel Partner / Reseller, Customer, or Employee.

Language

English

Prerequisites

While there are no prerequisites for this course, please ensure you have the right level of experience to be successful in this training.

$3,695

Length: 5.0 days (40 hours)

Level:

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Course Schedule:

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27
Nov
Monday
10:00 AM ET -
6:00 PM ET
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