throughput calculator

In the Taobao environment, assuming that we stress test the TPS is 100, then the system's daily throughput =100*11*3600=396 million This is in the case of simple (single URL), some pages, a page has multiple request, the actual throughput of the system is also small Regardless of time-to-think (T_think), there is a relationship between the measured TPS value and the number of concurrent virtual users (u_c

High throughput of Kafka As the most popular open-source message system, kafka is widely used in data buffering, asynchronous communication, collection logs, and system decoupling. Compared with other common message systems such as RocketMQ, Kafka ensures most of the functions and features while providing superb read/write performance. This article will analyze the Kafka performance. First, we will briefly introduce the Kafka architecture and related

, confirm to the end received, in order to continue to slide the window to send new data. You can see that the window size has a significant impact on throughput, while the ACK response is closely related to system latency. It is necessary to note that if the sending side of the window over the assembly caused the receiver to close the window, processing not to the contrary, if the window settings are small, the result is not enough bandwidth, so care

Resolution: (1) formula for throughput: Number of commands divided by the time of the pipeline (2) formula for calculating the time of the pipeline: time required for a command + (number of command lines-1) * The longest instruction period7 + (8-1) * 3Assembly line:A pipeline is a quasi-parallel processing technology that allows multiple commands to overlap during program execution. The simultaneous processing of various components is for different co

Since MSMQ message interaction requires read and write operations on disks, a relatively effective method to improve MSMQ message throughput is to improve disk read and write capabilities. you can simply store MSMQ messages, logs, and other files to different disks to reduce MSMQ's I/O dependency on a disk and achieve higher read/write efficiency. because MSMQ is generally used to store stream data, it is a good option to store MSMQ in memory if the m

= " Sdffffffffffffffffffffffffffffffffffffffffsdffffffffffffffffffffffffffffffffffffffffbeetlesdfffffffffffffffffffffffffffff FffFfffffffsdffffffffffffffffffffffffffffffffffffffff "+ x}"; }); }); }The test results are as followsThe above is a 10W operation test result, because Redis is in the native so the interaction is very considerable.Although in multithreading high concurrency under such a design can have a very good performance of

between two routers, regardless of packet length or link transfer rate. queue delay and packet loss Queue Delay ratio LA/R is called flow intensityIf la/r >1, the average rate at which the bit arrives in the queue exceeds the rate at which the queue is transferred, the increase in the queue tends to be unbounded, and the queuing delay tends to be infinite. Therefore, there is a golden rule in traffic engineering: The flow intensity can not be greater than 1 when designing the system.If la/r ,

Network Test copy package. Test the network adapter throughput. Ftp-n 172.16.24.31 User root rootpingan31 Bin Prom Put "| dd if =/dev/zero bs = 1 m"/dev/null By ! Run this script to view the network information of the system to view the maximum network throughput. I/F Name Recv = KB/s Trans = KB/s packin packout insize outsize Peak-> Recv Trans x X en0 69375.2 75411.1 130997.9 119867.5 542.3 644.2 69583.3 7

Link: http://blog.chinaunix.net/u3/105477/showart_2087878.html Key points:Learn how to compile the sampling process, how to obtain the required parameters, how to use individual files for recording, understand the specific physical meanings of throughput, packet loss rate, and end-to-end latency, and learn more about the parameter interfaces provided by NS2! [Scenario description]: four of the eight nodes serve as the source node of the data stream,

Optimizations for concurrent throughput performanceConcurrenthashmap uses some techniques to get high concurrency performance while avoiding locks. These techniques include: Use multiple write locks for different hash buckets (the hash value of a hash bucket, which is a key of different range); Using the uncertainty of the JMM (Java memory Model,java model) minimizes the time to hold a lock or fundamentally avoids the use of locks. T

FLOAT 0.5The default is set to 0, this parameter means that the client suddenly disconnects, download to the percentage of how much will continue to download, otherwise it will be disconnected, no more considerations, set to 0.5, did a test, and then immediately updated up, flow stability, throughput has risen.Finally is a small complete, not the parameters on the line is so stable, follow-up according to business situation still need to slowly ponde

default values of performance test nodes. The settings had previously used a maximum value of 128M, and a nominal value of 64M. The settings is now larger than fasterdata defaults, and appear below:net.core.rmem_max = 268435456net.core.wmem_max = 2 68435456net.ipv4.tcp_rmem = 4096 87380 134217728net.ipv4.tcp_wmem = 4096 65536 134217728 Modifying These settings has both Impacts, positive and negative:more memory are allocated for every single TCP ... Nic Tuning Vendor specific NIC Tuning info

There are many ways to accelerate a Web server, for example, we can use CDN technology, but this speed-up solution is very limited, can not really improve the overall speed of the server.Of course, for the server's speed-up plan also depends on the specific situation, for example, for Hong Kong server, we should use the full increase in server bandwidth utilization to achieve the corresponding speed-up requirements, for some easy to exhaust areas, we can also adopt this program.Today we mainly u

The relationship between throughput and concurrency, as well as response time, can be understood as the highway's prevailing condition:Throughput is the number of vehicles per day through toll stations (which can be converted into toll stations for high-speed charges), and the amount of concurrent traffic is the number of vehicles in the form on the highway, and the response time is speed. When vehicles are very small, the speed is very high, but the

1 command line Input directly: Iptraf (if not, install with yum install Iptraf)2. Open Enter to select IP image.3. Select the interface for the monitoring test, all interfaces.4. Turn on the listening status log and the system default log path. /var/log/iptraf/ip_traffic.log4. After running, turn on the monitor network card traffic5.iptraf Reference Usage:Man Iptraf ViewThere are also many tool commands to view:Watch command:Watch-n 1 "/sbin/ifconfig eth0 | grep bytes ".Other answers1, Iptraf to

It is the key and difficulty to build high-performance service to improve the system's concurrent throughput. Usually review code when you see synchronized I will think about it, this place can be optimized. Using synchronized enables concurrent threads to become sequential executions, which have a significant impact on system concurrency throughput, my blog http://maoyidao.iteye.com/blog/1149015 introduces

. staticFiles ":" 0.1-alpha-build-0443 "," Microsoft. aspNet. mvc ":" 0.1-alpha-build-1268 "," Microsoft. aspNet. server. webListener ":" 0.1-alpha-build-0520 "," Microsoft. data. entity ":" 0.1-alpha-build-* ", // enable Entity" Microsoft. data. entity. sqlServer ":" 0.1-alpha-build-0863 ", // enable SQL Server" Microsoft. dataAnnotations ":" 0.1-alpha-build-0100 ", // enable DataAnnotations" Microsoft. framework. configurationModel ":" 0.1-alpha-build-0233 "// enable configuration file operati

Description: Normally, the play framework should automatically load the contents of the conf/application.conf configuration, but it seems that this does not work, explicitly specify the line.Reference: HTTPS://GITHUB.COM/YAHOO/KAFKA-MANAGER/ISSUES/165, the default HTTP port is 9000, you can modify the value of the Http.port in the configuration file, or pass the command line parameters:V. SBT Configuration AgentSBT Configuration HTTP Proxy reference documentation: Http://www.scala-sbt.org/0.1

{ if(_instance = =NULL) { Lock(_syncobject) {if(_instance = =NULL) {_instance=NewDbqueuemanage (); } } } return_instance; } } Public voidInit (Action action,intThreadnum =2) { if(_dbqueues = =NULL) { This. _threadnumber =Threadnum; _dbqueues=NewDbqueue[threadnum]; for(vari =0; i ) {_dbqueues[i]=NewDbqueue (); } }

The optimization of Tomcat connection parameters is primarily optimized for throughput:Modify the Conf/server.xml file to bring the originalSwitchUriencoding= "UTF-8"Minsparethreads= "25"maxsparethreads= "75"Enablelookups= "false"Disableuploadtimeout= "true"connectiontimeout= "20000"Acceptcount= "300"maxthreads= "300"maxprocessors= "1000"Minprocessors= "5"Useurivalidationhack= "false"Compression= "On"Compressionminsize= "2048"Compressablemimetype= "Text/html,text/xml,text/javascript,text/css,tex