sonicwall throughput

Basic comparison Information ActiveMQ RabbitMQ Rocketmq Kafka ZeroMQ Throughput Lower than RABBITMQ 2.6W/S (Message persistence) 11.6w/s 17.3w/s 29w/s Development language Java Erlang Java Scala/java C Main maintainers Apache Mozilla/spring Alibaba Apache Imatix, the founder is dead Maturity level Mature M

#!/usr/bin/envpython#coding=utf-8importtimeimportsysimportosimport Mysqldbconn=mysqldb.connect (host= ' 127.0.0.1 ', port=3306,user= ' root ', passwd= ' abc.123 ', charset= ' UTF8 ') conn.autocommit (True) cursor=conn.cursor () whiletrue:diff=1 sql= "Showglobalstatuswherevariable_namein (' Com_select ', ' com_insert ', ' com_delete ', ' com_update ') "cursor.execute (SQL) results=cursor.fetchall () first=[] forrecinresults:first.append (rec [1]) time.sleep (diff) sql= "Showglobalstatus wherevar

Garbage collection optimization for high throughput and low latency Java applicationsHigh-performance applications form the backbone of modern networks. LinkedIn has many internal high-throughput services to meet user requests thousands of times per second. To optimize the user experience, it is important to respond to these requests with low latency.For example, one feature that users often use is to learn

We know that there are many concepts in computers that are not easy to understand. sometimes, a good analogy can beat many explanations. The following are two wonderful metaphors I have seen. let's share them with you. The first analogy is about throughput and latency. We know that there are many concepts in computers that are not easy to understand. sometimes, a good analogy can beat many explanations. The following are two wonderful metaphors I have

Original link: LinkedIn translation: Importnew.com-hejianiLink: http://www.importnew.com/11336.htmlHigh-performance applications form the backbone of modern networks. LinkedIn has many internal high-throughput services to meet user requests thousands of times per second. To optimize the user experience, it is important to respond to these requests with low latency.For example, one feature that users often use is to learn about dynamic information-a li

"Speed test" can be explained in many ways, in the Internet people's point of view is mainly concerned with the Internet access to network resources. To this end, there are a number of websites that also provide test scripts and services that test the speed of access from visitors to the site. This test method is very simple, but due to many factors, test results are generally only as a specific application to access this particular site (such as: HTTP, FTP) performance evaluation, this kind of

Libevent is a very easy-to-use C-language network library. It also uses the reactor model, which can be compared with muduo. In this paper, we use the ping pong test to compare the throughput of muduo and libevent2. The test results show that the average throughput of muduo is more than 18% higher than that of libevent2, and in some cases it reaches 70%. Test Object Libevent 2.0.6-RC (http://monkey

Throughput Rate IntroductionWhat is the throughput rate, explained, is the number of requests processed by the server in the unit time, this may be our measure of a Web site is a very important indicator, when 10 users simultaneously initiated 100 requests and 1 users simultaneously to the server to initiate 1000 requests, our effect is not the same, Here is a concept to illustrate that the continuous reque

It is very important to improve the throughput performance of multi-core servers. Because servers are different from desktops and workstations, the channel for dealing with the outside world is the network. No matter what complicated computing operations the processor performs, the results must be returned to the request object through the NIC. In a sense, the NIC is the "throat" component of the server for external contact and communication. To some

Libevent is a very useful C language network library, it also uses the reactor model, just can be compared with Muduo. This paper uses ping pong test to compare the throughput of Muduo and Libevent2, and the test results show that Muduo throughput is over 18% higher than libevent2, and individual cases reach 70%. Test object Libevent 2.0.6-RC (http://monkey.org/~provos/libevent-2.0.6-rc.tar.gz) Muduo 0.

3931: [CQOI2015] Network throughput time limit: ten Sec Memory Limit: MB Submit: 1194 Solved: 508 [Submit] [Status] [Discuss] DescriptionRouting refers to the activity of transmitting information from source address to destination site through computer network, which is also the key point and difficulty in computer network design. A hardware device that implements route forwarding in a network is called a router. In order fo

3931: [CQOI2015] Network throughput time limit: ten Sec Memory Limit: MB Submit: 853 Solved: 381 [Submit] [Status] [Discuss] DescriptionRouting refers to the activity of transmitting information from source address to destination site through computer network, which is also the key point and difficulty in computer network design. A hardware device that implements route forwarding in a network is called a router. In order for

PS: The following are the main concepts and calculation formulas for performance testing, which are documented below:A System Swallow metric elements:The Swallow metric (pressure capability) of a system is closely associated with the request for CPU consumption, external interfaces, Io, and so on.The higher the CPU consumption of a single reqeust, the slower the external system interface and IO effect, the lower the system throughput capacity, and the

High-throughput systemsFor example, we do projects need to schedule, each module can be multi-person in parallel multiple tasks, can also be one or more people serial work, but there will always be a key path, this path is the project duration. The response time of a system call is the same as the project plan, and there is a critical path, which is the system impact time. The critical path consists of CPU operation, IO, External system response, and

give you an example of how a small change in the JVM configuration affects the throughput of your application. Example The application we use to demonstrate that GC has an impact on throughput is a simple program. It contains two threads: pigeater– it will imitate the python's incessant ingestion of the big fat Pig. The code does this by adding 32MB bytes to the java.util.List, and then sleeps 100ms aft

); Here I am testing, is using Kafka and storm to do data transmission, Kafka has a partition mechanism, spout the number of threads according to Kafka topic number of partition To define, typically a 1:1 relationship, that is, the current topic partition number is 18, then the number of spout threads can be set to 18. Can be a little more than this, but not How many Kafka do you need? Partition you can do the test according to your needs. Find the values you need 3, the concurrent number of bol

Use batch insert to solve the insert throughput problem of MySQL. Recently I used a very simple and easy-to-use method to solve the insert throughput problem in the business. Here I will summarize it. First, let's clarify that the insert throughput is not the IPS (insert per second), but the RPS (effect rows per second ). Next, let's talk about batch insert. In f

Batchinsert is used to solve the insert throughput problem of MySQL. Recently, an easy-to-use method has been used to solve the insert throughput problem in the business. here, we will summarize the problem. First, let's clarify that the insert throughput is not the IPS (insert per second), but the RPS (effect rows per second ). Next, let's talk about batch in

simple Web application. Database connection pool, the connection pool configuration is unreasonable, will also become a system bottleneck.Here, the task of optimizing the system throughput is simplified to find the system bottleneck. The simplest way is to profile,jprofiler and so on the sharp weapon, hangs to the system to go to the pressure test.However, sometimes the environment of the business system is very complex, the cost of setting up a pres

Muduo (Http://code.google.com/p/muduo) is a C + + network library based on reactor mode, I didn't write it with high concurrent high throughput as the main goal, but to my surprise, ping pong test shows that Muduo Throughput is more than 15% higher than Boost.asio. Test object ASIO 1.4.3 in boost 1.40 ASIO 1.4.5 (http://think-async.com/Asio/Download) Muduo 0.1.1 (http://muduo.googlecode.com/files/muduo-