D.1.2.7.2.2 payload compression, D.1.2.7.2.3 aldc vs. lzs compression comparison – Comtech EF Data CDM-570A User Manual

Page 475

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CDM-570L/570AL Satellite Modem with Optional Packet Processor

MN-CDM570A

Appendix D

Revision 2

D–17

Header Compression Statistics will display the total bytes of the pre-compressed and post-

compressed traffic and effective compression ratio.

D.1.2.7.2.2 Payload Compression

The Packet Processor features industry-leading payload compression for IP traffic. Implemented

in the hardware for maximum throughput and efficiency, payload compression can reduce the

required satellite bandwidth by as much as 40–50%. Traffic optimization through Payload

Compression is an optional feature of the Packet Processor. Note the following:

Available as a FAST feature

Uses AHA chip

Compression algorithm applied to all data (HDLC header excluded)

Compression statistics are fed back to QoS in order to maximize WAN utilization while

maintaining priority, jitter and latency

1024 simultaneous compression sessions to maximize compression across multiple distinct

traffic flows

Compression algorithm not applied to RTP streams because this traffic is already

compressed and would only INCREASE the sat bandwidth if compressed again

Additional statistics have been added to the compression statistics menu in order to provide

feedback on the compression efficiency that has been achieved

Payload Compression is selectable on a per route basis

D.1.2.7.2.3 ALDC vs. LZS Compression Comparison

Algorithm Payload

size

File Set

Ratio

Algorithm

Payload

size

File Set

Ratio

ALDC

1472

Calgary

1.76

LZS

1472

Calgary

1.66

1000

1.76

1000

1.66

500

1.77

500

1.68

100

2.09

100

1.97

1472

Canterbury

1.71

1472

Canterbury

1.61

1000

1.72

1000

1.62

500

1.74

500

1.63

100

2.04

100

1.91

The numbers in this table were compiled using a test program created in-house by Comtech EF

Data. This program takes the target benchmark files and splits the files into payload-sized

chunks, then compresses each chunk in a separate invocation of the compression algorithm.

This is important to note because most compression algorithms are applied to the entire file

data set as a single invocation of the compression algorithm, which is easier for other types of

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