Setting optimization policies, Setting neural framing mode and heuristics, Setting optimization – HP StorageWorks Enterprise File Services WAN Accelerator User Manual

Page 28: Setting

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2 - C

ONFIGURING

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HP EFS WAN A

CCELERATOR

It is important to plan your in-path rules so that your network conditions are met.
Typically, most rules are listed in the following order:

1. Pass-through. List the exceptions to optimization, first.

2. Fixed-target. List any fixed-targets for optimization, next.

3. Auto-discover. Apply the default rule: optimize all remaining traffic. (The default

auto-discover rule is listed automatically.)

Setting
Optimization
Policies

Optionally, you can set an optimization policy in the Setup: Optimization Service - In-
Path Rules page. You can associate each in-path rule (fixed-target and auto-discovery
rules) with an optimization policy. You can configure the following types of
optimization policies to use for in-path rules.

Setting an optimization policy allows you more flexibility in applying optimization
techniques. For example, if you have a network that requires 45 Mbps or higher with
abundant bandwidth, you do not need to perform LZ compression to obtain maximum
optimization of data. Turning off LZ compression also increases throughput on large
bandwidth networks.

To configure optimization policies for the File Transfer Protocol (FTP) data channel,
define an in-path rule with the destination port 20 and set its optimization policy.
Setting QoS for port 20 on the client-side HP EFS WAN Accelerator affects passive
FTP, while setting the QoS for port 20 on the server-side HP EFS WAN Accelerator
affects active FTP.

To configure optimization policies for the Messaging Application Protocol Interface
(MAPI) data channel, define an in-path rule with the destination port 7830 and set its
optimization policy.

Setting Neural
Framing Mode and
Heuristics

Optionally, you can enable Neural Framing Mode. Neural Framing Mode enables the
HP EFS WAN Accelerator to select the optimal packet framing boundaries for SDR.
Neural framing enables the HP EFS WAN Accelerator to select the optimal packet
framing boundaries for SDR. Neural framing creates a set of heuristics to intelligently
determine the optimal moment to flush TCP buffers. The HP EFS WAN Accelerator
continuously evaluates these heuristics and uses the optimal heuristic to maximize the
amount of buffered data transmitted in each flush, while minimizing the amount of idle
time that the data sits in the buffer.

For different types of traffic, one algorithm may be better than others. The
considerations to consider are the latency added to the connection, the compression,
and SDR performance.

Optimization Policy

Description

Normal

Perform Lempel-Ziv (LZ) compression and Scalable Data
Referencing (SDR). For detailed information about SDR,
see the HP StorageWorks Enterprise File Services WAN
Accelerator Deployment Guide
.

SDR-Only

Perform SDR; do not perform LZ compression.

None

Do not perform SDR or LZ compression.

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