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TCP/IP network Programming Learning note _11--multi-process server side

Concurrent ServerFirst of all, let's assume that there are two types of servers: first, the first connection request processing time is 1s, the 50th connection request processing time is 50s, the 100th connection request processing time is 100s. That is, at the same time a lot of customer service connection, need to queue to accept, but as long as the acceptance, their service time on average only 1s. Second, the processing time for all connection req

Webpackdevmiddleware of ASP. NET Core MVC Middleware

nodeServices executing the aspnet-webpack method in the specified module and getting the result. The parameters are the module file path, the method to invoke, the parameters passed. The parameters passed to the JS module are first serialized into a JSON string, and the module receives the parameters and then deserializes them into objects. var devServerInfo = nodeServices.InvokeExportAsync The returns the output directory after the Webpack compilation, looping through th

CSS3 Animation (animation) effect 1-floating clouds

DOCTYPE HTML>HTMLLang= "en">Head> MetaCharSet= "UTF-8"> title>The floating white cloudstitle> styletype= "Text/css">. Box{position:relative;Height:300px;width:500px; }. in1,. in2{position:Absolute;Height:100%;width:100%;background-size:cover;Animation:move 100s infinite linear alternate; }@keyframes Move{100% {background-position:500% 0; }}. in1{Background-image:url (' http://sandbox.runjs.cn/uploads/rs/26/ddzmgynp/cl

Java Encapsulation Class (i)

To compensate for the lack of basic data types in object-oriented terms, the Java language introduces encapsulation classes (wrapper Classes), which provide the appropriate reference data types for a variety of basic data types. Encapsulated classes are defined as final, so they cannot be inherited, and once created, the content cannot be changed. public class Demo1 {public static void Main (string[] args) { byte byte1 = new Byte ((Byte) 1); NumberFormatException Integer i = new Int

Some of the Linux directives commonly used in performance testing __linux

of user Process Owner Group name for the owner of the group process TTY starts the terminal name of the process. Processes that are not started from the terminal are displayed as? PR Priority NI nice value, negative indicates high priority, positive values mean low priority P the last CPU used, only in a multi-CPU environment meaningful Virt: Total amount of virtual memory used by the process, in kilobytes, Virt=swap+res RES: The size, in kilobytes, of the unused physical memory used by the pro

POCO Overall Framework Introduction

, coding style, consistency, readability, high attention to usability testing focus on practicality based on existing, reliable component developmentVersion HistorySummer 2004:günter Obiltschnig started development February 2005:first release on SourceForge, release 0.91 under sleepy Cat license) may 2005:first contributions by Aleksandar Fabijanic January 2006:release 1.0 March 2006:release 1.1 July 2006:moved to Boost license, POCO Community Website August 2006:release 1.2 may 2007:release 1.3

Sysbench a detailed tutorial on Mysql stress testing _mysql

, reconnects:0.00 [80s] threads:128, tps:2381.20, reads:33331.50, writes:9522.55, Response time:67.30ms (95%), errors:0.00, reconnects:0.00 [100s] threads:128, tps:2388.85, reads:33446.10, writes:9556.35, Response time:67.00 MS (+), errors:0.00, reconnects:0.00 [120s] threads:128, tps:2386.40, reads:33421.35, writes:9545.35, Response time:66.94ms (+), errors:0.00, reconnects:0.00 OLTP test statistics : Queries performed:read:4003048//Total Select quan

Performance Index TP99 I solution _ performance

First give the answer to Google: The Tp90 is a minimum time under which 90% to requests have been served. Tp90 = Top Percentile 90 Imagine your have response times: 10s1000s100s2s Calculating TP is very simple: 1. Sort all times in ascending order: [2s, 10s, 100s, 1000s] 2. Find latest item in portion you need to calculate.2.1 For TP50 It'll be ceil (4*0.5) = 2 requests. You need 2nd request.2.2 For TP90 It'll be ceil (4*0.9) = 4. You need 4th

Logo making with light border movement

line to move downward, press modify/animation/animation selection, fill in the frame of 6 frames, click OK, and then hold down the red dot, dragged into the following figure: In the upper left corner ready to move to the right line, press Modify/animation/animation selection, in the frame to fill in 14 frames. Choose the following to perform the same command, but frames 20, and then drag his position to the following figure: Remember to put the position of frame 5th to the beginning of this d

Bzoj 3052 [wc2013] Candy Park tree on the MO team

Test Instructions: links Method: Mo team on the tree parsing: First consider a team of algorithms, tree tiles and how to do it. you can set two pointers, and then move the pointer in a certain sort of way so that the complexity can be over. observed that the problem is 100s, n^2 is GG, but slightly smaller than n^2 is not GG, so the role of sequencing is reflected. according to the block of the left endpoint is the first keyword, the right

Bzoj 3052: [wc2013] Candy Park

Description Input Output Sample Input Sample Input Sample Output 8413127HINT The total time limit on Bzoj is 250S. Exam Time Single Point 10S This question can be done with Mo team. First, the DFS sequence is obtained. Then change the query on the tree to the interval in the DFS sequence. And then it's the same as the team in the queue. Sort the first, second, and third keywords with the left end, right end, and time respectively As for the size of the block I think it's not too outrageo

Example of queue send and receive for ACTIVEMQ

:61616"); try { Construction gets the connection object from the factory Connection = Connectionfactory.createconnection (); Start Connection.start (); Get Operation Connection Session = Connection.createsession (False, Session.auto_acknowledge); Get session Destination = Session.createqueue ("Firstqueue"); Consumer = session.createconsumer (destination); while (true) { Set the receiver to receive the message time, in order to facilitate testing, here who set

Slow HTTP Denial of Service Attack Vulnerability resolution

Problem Name: Slow HTTP denial of Service Attack problem URL http://10.238.*.*:58*** Risk Level: High Problem Type: Server Configuration Classes Vulnerability Description: When using HTTP post:post, specify a very largeContent-length, and then at a very low speed, such as 10-100s send a byte, hold this connection continuously open. When the client is connected, it takes up all the ava

Effects from Star Wars to CSS transform

body{width:100%; height:100%; Background-image:url (".. /img/bg.png "); }/* Perspective values are larger and farther away. * container{Display:block; width:200px; height:200px; margin-bottom:50px; border:1px solid #bbb; }. box {width:100%; height:100%; Opacity:. 75; } #darkblue {margin:50px auto; perspective:500px; perspective-origin:25% 75%; } #darkblue. box1 {color:yellow; font:400 24px/2 "Microsoft Himalaya"; Background-color:darkblue; Transfor

Slow connection attack

, such as a:b\r\n, every few minutes. Causes the server to assume that the HTTP header is not receiving completion and waits. If an attacker uses multithreading or a puppet machine to do the same thing, the server's Web container is quickly filled with TCP connections and no longer accepting new requests. "Tools Demo" Use Wireshark to grab a packet to see the HTTP request header has a random key-value key value pair, as shown in the red circle below, and the HTTP request header end is incomple

MySQL Indexing and optimization

Write in front: indexes have a critical impact on the speed of queries, and understanding indexes is also a starting point for database Performance tuning. Consider the following scenario, assuming that a table in the database has 10^6 records, the DBMS has a page size of 4K, and stores 100 records. If there is no index, the query will scan the entire table, in the worst case, if all the data pages are not in memory, need to read 10^4 pages, if the 10^4 pages on the disk randomly distributed, ne

Understanding mysql--Indexing and optimization

Label:Write in front: indexes have a critical impact on the speed of queries, and understanding indexes is also a starting point for database Performance tuning. Consider the following scenario, assuming that a table in the database has 10^6 records, the DBMS has a page size of 4K, and stores 100 records. If there is no index, the query will scan the entire table, in the worst case, if all the data pages are not in memory, need to read 10^4 pages, if the 10^4 pages on the disk randomly distribut

Oracle data types

value can range from 84 to 127. For example:CREATE TABLE Test(Name Number (5))Use the precision 5来 to define a positive number (such as 12345).CREATE TABLE Test(Name Number (5,2))Use Precision 5 and range to define a number. Numeric values that conform to this data type, such as 123.45 and 12.346, LONGA LONG column stores a variable-length string that can store up to 2GB of data. A LONG column has a number of features in the VARCHAR2 type column. You can use a long column to store a long type o

Understanding mysql--Indexing and optimization

Write in front: indexes have a critical impact on the speed of queries, and understanding indexes is also a starting point for database Performance tuning. Consider the following scenario, assuming that a table in the database has 10^6 records, the DBMS has a page size of 4K, and stores 100 records. If there is no index, the query will scan the entire table, in the worst case, if all the data pages are not in memory, need to read 10^4 pages, if the 10^4 pages on the disk randomly distributed, ne

MySQL Performance tuning

other threads from reading and writing to the same table, and the read and write operations of other processes will be performed only when the write lock is released;4.3 InnoDB engine: The InnoDB storage engine is implemented by locking the index entries on the index, which means that the InnoDB uses row-level locks only if the data is retrieved through the index criteria, otherwise the INNODB will take a table lock (to prevent high concurrency access, A large number of transactions are suspend

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