data compression vpn

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Data Compression 1 (51), data compression 151

Data Compression 1 (51), data compression 151 1. compress the specified data in a servlet: PackageCn. hongxing. servlet; ImportJava. io. ByteArrayOutputStream; ImportJava. io. IOException; ImportJava. io. OutputStream; ImportJava. io. PrintWriter; ImportJava. io. StringReade

IPsec VPN data transmission process

IPsec VPN data transmission processThe following is a packet transmission process (such as ICMP packet) through the IPsecVPN tunnel. When the PC in the subnet is protected by the VPN on the left, if the data sent from the left PC is received by the Left VPN eth1 port and nee

Use openswan on centos/RedHat 5.4 to build a VPN between data centers

Recently, due to the high traffic of the primary data center, several independent hosts were purchased abroad for traffic distribution and cost. This requires two data centers.Data Synchronization, including MySQL, MongoDB, and reverse proxy. By creating a VPN using IPSec to connect two subnets togetherThe most suitable solution. We have initially considered usin

PHP data compression, encryption and decryption (pack, unpack), and data compression unpack

PHP data compression, encryption and decryption (pack, unpack), and data compression unpack Data is frequently exchanged in network communication and file storage. To reduce network communication traffic, file storage size, and encrypted communication rules, two-way encrypti

SQL Server focuses on optimization of Stored Procedure performance, data compression, and page compression to improve IO performance (I ).

SQL Server focuses on optimization of Stored Procedure performance, data compression, and page compression to improve IO performance (I ). Preface The SQL Server basic series is not over yet, And the last point is not written, and will continue later. Some school friends asked me when I began to write the SQL Server performance series. It may take some time to wa

Java gzip Data compression transfer to the foreground __ data compression

Features: Using Sevrlet bar data compression in the transfer to the foreground Package cn.hncu.img; Import Java.io.ByteArrayOutputStream; Import java.io.IOException; Import Java.io.OutputStream; Import Java.io.PrintWriter; Import Java.util.zip.GZIPOutputStream; Import javax.servlet.ServletException; Import Javax.servlet.http.HttpServlet; Import Javax.servlet.http.HttpServletRequest; Import Javax.servlet

Mpls vpn route propagation and data forwarding

-EC routing protocol (RIP, OSPF, BGP, etc.) Announcement to CE, CE route calculation, add these routes to the global routing table, such. LDP distribution label:First, the PE1 global route table contains a direct connection route of 1.1.1.1/32, and then LDP distributes tags for all IGP routes. Because it is the last hop, a special label 3 is distributed. (Please note that, the table I wrote above cannot be seen in the MPLS Forwarding Table,Because label 3 will not be added to MPLS, it will not

23, LZ77 compression and decompression __lz77 data compression

efficient approach is to use a data structure that is efficient in searching performance instead of sliding windows.LZ77 has a better compression ratio than Huffman coding, but LZ77 takes a considerable amount of time during the compression process. If the forward buffer contains a, B, and D then the buffer contains the phrase {(A), (a,b) (A,B,D)}If the sliding

Db2 database backup Bat script (implements backup, compression, and deletion of backup data before compression)

= % FileNameDate % FileNameTime %Set slave header = db2 backup dbSet tailtail = user % User % using % Pwd % online toREM rar.exegreen compression software package users can download the attached rar.txt content and change it to files suffixed with exeSet ProgramRar = % ~ Dp0 \ rar.exe REM --- check the database configuration file ------If not exist % DBList % (Echo % date % time % DBList % not found> % Backup_Log %Exit) REM --- folder created on the

Lucene underlying data structure-the underlying filter Bitset principle, time series data compression compresses the same data to a single line

, in addition to skipping the cost of traversal, also skips understanding the process of compressing these compressed blocks, thus saving the CPU.Merging with BitsetBitset is a very intuitive data structure that corresponds to posting list such as:[1,3,4,7,10]The corresponding Bitset is:[1,0,1,1,0,0,1,0,0,1]Each document is sorted by the document ID and corresponds to one bit. The Bitset itself has the feature of

History of lossless data compression algorithms

Introduction There are two main compression algorithms: lossy and lossless. Lossy compression algorithms reduce files by removing small details that require a large amount of data to be stored under fidelity conditions. In lossy compression, it is impossible to restore the original file because some necessary

In-depth understanding of data compression and deduplication

[Guide]What are the differences between data compression and deduplication? In practice, how can we apply it correctly? I have not studied the principles and technologies of Data Compression before, so I did some homework, read and sort out relevant materials, and compared and analyzed the

Hadoop and HDFS data compression format

1. General criteria for Cloudera data compressionGeneral guidelines Whether data is compressed and which compression format is used has a significant impact on performance. The most important two aspects to consider in data compression are the MapReduce jobs a

[Multimedia] data compression type

There are two types of data compression:Lossless CompressionAndLossy Compression. Lossless Compression The so-called lossless compression format uses statistical redundancy to compress the data. It can completely restore the original dat

Data compression Brief

1. decide which objects to compress Sp_estimate_data_compression_savings evaluates the amount of space that is saved separately from row and page compression. When the table contains the following data patterns, it has a good compression effect: Columns of numeric types and fixed-length character type data, b

VIII. IO optimization (4) Data Compression

I. Overview 1. Why Data Compression? The performance of SQL Server depends mainly on the disk I/O efficiency. Improving the I/O efficiency means improving the performance of a program. SQL Server 2008 provides the data compression function to improve disk I/O. Data

SQL Server 2008 row data and page data compression decryption

Tags: http io ar using SP on data BS EFThe performance of SQL Server depends primarily on disk I/O efficiency, and improving I/O efficiency some program means improved performance. SQL Server 2008 provides data compression capabilities to improve disk I/O.Data compression means reducing the disk footprint of the

Data compression first time job

1-1: One of the basic questions about data compression is "what are we going to compress" and how do you understand that?A: Data compression refers to the process of significantly reducing the amount of data required to represent a signal in the range of non-loss of informat

SQL Server 2008 data table compression

SQL Server 2005 SP2 brought us the vardecimal function. At that time, a new storage format-vardecimal was introduced for the decimail and numeric data types. The vardecimal storage format allows storage of the decimal and numeric data types as a variable length column. This feature allows the original fixed-length decimal data to be stored in a variable-length fo

Handling large data with. NET 2.0 compression/Decompression Features

Data | compression SummaryIf your application has never used compression, then you are lucky. The good news for another part of the developer who uses compression is that. NET 2.0 now offers two classes to handle compression and decompression issues. This article is about wh

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