1 / 15

Module 4: Implement the DiffServ QoS Model

Module 4: Implement the DiffServ QoS Model. Lesson 4.8: Understanding WAN Link Efficiency Mechanisms. Objectives. Describe how link efficiency mechanisms can be used to optimize bandwidth. Describe Layer 2 payload compression.

Download Presentation

Module 4: Implement the DiffServ QoS Model

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Module 4: Implement the DiffServ QoS Model Lesson 4.8: Understanding WAN Link Efficiency Mechanisms

  2. Objectives • Describe how link efficiency mechanisms can be used to optimize bandwidth. • Describe Layer 2 payload compression. • Describe how header compression can be used to prevent sending redundant information. • Describe Link Fragmentation and Interleaving and the issues that can be solved using this mechanism.

  3. Link Efficiency Mechanisms • Link efficiency mechanisms are often deployed on WAN links to increase the throughput and to decrease delay and jitter. • Cisco IOS link efficiency mechanisms include: Layer 2 payload compression Header compression Link Fragmentation and Interleaving (LFI)

  4. Compression • Data compression works by the identification of patterns in a stream of data. • Basic elements of compression: Remove redundancy as much as possible. There is a theoretical limit, known as Shannon's limit. • Many compression algorithms exist, for different purposes: MPEG compression for video Huffmann compression for text and software LZ compression, used in Stacker compression • Two methods of compression are used: Hardware compression Software compression

  5. Payload and Header Compression • Payload compression reduces the size of the payload. • Header compression reduces the header overhead. • Compression increases throughput and decreases latency.

  6. Layer 2 Payload Compression • Layer 2 payload compression reduces the size of the frame payload. • Entire IP packet is compressed. • Software compression can add delay because of its complexity. • Hardware compression reduces the compression delay. • Serialization delay is reduced; overall latency might be reduced.

  7. Layer 2 Payload Compression Results • Compression increases throughput and decreases delay. • Use hardware compression when possible. • Examples are Stacker, Predictor, and MPPC.

  8. Header Compression . .

  9. Header Compression Results • Header compression increases compression delay and reduces serialization delay.

  10. Problems: Excessive delay due to slow link and MTU-sized (large) packets Jitter (variable delay) due to variable link utilization Large Packets “Freeze Out” Voice on Slow WAN Links

  11. Link Fragmentation and Interleaving (LFI) • LFI reduces the delay and jitter of small packets (such as VoIP).

  12. Applying Link Efficiency Mechanisms • Identify bottlenecks in the network. • Calculate Layer 2 and Layer 3 overhead. • Decide which type of compression to use, such as TCP header compression. • Enable compression on WAN interfaces.

  13. Network Using LFI

  14. Self Check • What is Shannon’s limit? • What is the difference between hardware compression and software compression? • Why is it necessary to use a technique such as LFI when transmitting delay sensitive packets such as VoIP?

  15. Summary • WAN links can use bandwidth optimizing link efficiency QoS mechanisms such as payload compression, header compression, and link fragmentation and interleaving (LFI). These features are applicable to low-speed WAN interfaces and are emerging for use on high-speed Ethernet interfaces. • Data compression works by identifying patterns in streams of data, and then chooses a more efficient method to represent the same information.

More Related