Java concurrent programming and scalability (3)Avoid hotspot domain
For example, the size of a hashmap. The optimization method is to add a counter. But for ConcurrentHashMap. When performing concurrent operations on the counter, the counter needs to be changed each time put and remove. Therefore, in this class, this counter is called a hot point domain, which is the bottleneck of scalability. So the metho
primary database copy, the changes are delayed and can be quickly recovered from user or application errors.
By extending the DB2 pureScale Feature with Q Replication, you can achieve scalability, reliability, and transparency, while ensuring the protection and continuous availability of remote replicas. This article will discuss the considerations of this solution and introduce how to deploy the Q Replication and DB2 pureScale Feature in combination
PHP 7 Installation and Use experience greatly improves performance, strong compatibility, and insufficient Scalability (be cautious when upgrading PHP). Be cautious when installing and using PHP 7.
With the release of PHP 7, the performance and compatibility of PHP 7 have become a hot topic for discussion over the past few days. The high performance of PHP 7 has made many people eager to get started, some "early adopters" have applied PHP 7 to the pr
Performance and Scalability I. Law of Amdahl1. The relationship between issues and resourcesIn some cases, the more resources are resolved faster, the more the problems are the opposite:Note: Each program must have a serial part, and reasonable analysis of the serial and parallel parts of the program has a great impact; the relationship between serial part ratio and multicore execution efficiency is exponential level2.ConcurrentLinkedQueueIn a multico
connection being depleted and to help the application expand.
The following precautions must be taken to achieve optimal connection use:
Explicitly close the connection now
The application component invokes the Getconnection method on the connection factory to obtain an EIS connection. The returned connection instance represents an application-level handle to the underlying physical connection. After the application component completes the use of this connection, you should close the connect
Improve Linux kernel and adapt scalability to the enterprise environment-general Linux technology-Linux programming and kernel information. The following is a detailed description. The first step to improve Linux performance is to quantify it. But how can we precisely quantify the performance of Linux or its equivalent system performance? In this article, members of the IBM Linux technology center described several benchmark program tests they perform
Many programmers spend a lot of time tuning application-level performance bottlenecks as they address JVM performance issues, and when you finish reading this series you will find that I might look at this kind of problem more systematically. I've said that the JVM's own technology limits the scalability of Java enterprise-class applications. First, let's start by listing some of the leading factors.
The mainstream hardware server provides a
Many programmers spend a lot of time tuning application-level performance bottlenecks as they address JVM performance issues, and when you finish reading this series you will find that I might look at this kind of problem more systematically. I've said that the JVM's own technology limits the scalability of Java enterprise-class applications. First, let's start by listing some of the leading factors.
The mainstream hardware server provides a
Importnew Note: JVM performance Optimization series first 4 articles by importnew translation (first, second, third, fourth). This article was submitted by Sina Weibo: Wu Jie (@WildJay) to Importnew. Thanks Wu Jie! If you wish to share a good original article or translation, please submit it to importnew. Many programmers spend a lot of time tuning application-level performance bottlenecks as they address JVM performance issues, and when you finish reading this series you will find that I might
System scalability is the main reason for promoting the development of NoSQL, including distributed system coordination, failover, resource management and many other features. So that NoSQL listening
System scalability is the main reason for promoting the development of NoSQL
Label:Original: http://juliashine.com/distributed-algorithms-in-nosql-databases/ A distributed algorithm for NoSQL databasesOn November 9, 2012 in also for rice beam, by Juliashine This article was translated from distributed algorithms in NoSQL Databases The scalability of the system is the main reason for the develop
cache, pages, page fragment caches, etc., in front of the database. As for the object cache, Jdon has been discussed too right hehe.
Monitoring
We should be able to understand the performance of the system from the perspective of a real user, including testing the user experience from an external network and the number of calls to each component of the internal system, and the time of each call, and so on.
Copy
Database separation, so that not only can achieve a cert
Architecture comparison and scalability (I)
Lin Fan iamafan@21cn.com
Chen Xun software studio R D department managerNovember 2001
This article is the second half of "scalability and distributed architecture of clusters, we will continue to introduce several common parallel computing architectures, extensible and single system images, and important metrics of clusters.
Scalable Parallel Computing Archite
distributed algorithms and ideas in NoSQL databases. The article is very long and translated and contributed by @ juliashine. Thank you for your sharing spirit!
Translator's introduction: Juliashine has been an engineer for many years. He is now working on massive data processing and analysis, focusing on the Hadoop and NoSQL ecosystem.
Distributed Algorithms in NoSQL
In-depth analysis of distributed algorithms for NoSQL Databases
System scalability is the main reason for promoting the development of NoSQL, including distributed system coordination, failover, resource management and many other features. In this case, NoSQL sounds like a big basket, and everything can be inserted. A
First, why NoSQL?
Two reasons to follow a NoSQL
Application development Efficiency (NoSQL simplifies data interaction)
Large-scale data (NoSQL is designed for clustered environments)
NoSQL is not independent, and will not replace the relat
When using Maxthon, I did not want to see a floating box. I changed it to jquery-based, and the scalability was good. I sent it to share it.
The Code is as follows:
Add content here
When using Maxthon, I did not want to see a floating box. I changed it to jquery-based, and the scalability was good. I sent it to share it.
The Code is as follows:
Add content here
MySQL Study Notes (6) scalability design-memcached1. as a tool for improving system performance
The following figure shows a brief diagram of using memchched as the cache service layer:
It can be seen that all data needs to be inserted, updated, and deleted to the Master. If the master is updated or deleted, it will be deleted from memcached to maintain data consistency. When reading data, read data from memcached first. If the data cannot be re
Set the time in the data, and use the object Attribute Table to increase the system's scalability. For example, the news table t_news is displayed in the news system, and a news table is added.
Attribute Table t_news_prop. When the fields in the News table cannot meet the requirements, you can use the Attribute Table to implement the requirements. You only need to add a record.
You can simply enter the Attribute Table.
A simple example of data stru
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