Implementation of HTTP Compression and Decompression in LabVIEW

# 1. Introduction to HTTP Compression and Decompression Technology

1.1 What is HTTP Compression and Decompression
HTTP compression and decompression refer to the techniques of compressing and decompressing data within the HTTP protocol. By compressing the data transmitted over HTTP, the volume of data can be reduced, which increases transmission efficiency and saves bandwidth resources.

1.2 Advantages and Application Scenarios of HTTP Compression
The advantages of HTTP compression include reducing the amount of data transferred, enhancing network transmission speed, and decreasing network latency. Application scenarios include web browsing, large file transfers, API calls, and other data transmission scenarios.

1.3 Common HTTP Compression Algorithms and Their Features
Common HTTP compression algorithms include Gzip, Deflate, Brotli, etc., each with different compression ratios and speeds. Gzip offers high compression rates, Deflate excels in speed, and Brotli provides a balanced performance. The choice of compression algorithm should be based on specific situations.

# 2. Introduction to HTTP-related Components in LabVIEW

2.1 Overview of the Network Module in LabVIEW

2.2 Basic Understanding of HTTP Requests and Responses

2.3 Methods for Handling HTTP Data in LabVIEW

# 3. Implementing HTTP Data Compression

In this chapter, we will delve into the details of how to implement HTTP data compression in LabVIEW, including selecting the appropriate compression algorithm, parameter settings, and example code demonstrations. Let's explore together!

#### 3.1 Steps to Implement HTTP Data Compression in LabVIEW
To implement HTTP data compression in LabVIEW, the following steps must be clear:
1. Prepare HTTP data, which could be in the form of text, files, images, etc.