Data Buffer Cache

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Buffer frequently accessed data through the Java cache system (Java Caching Systems)

Web developers using java™ technology can quickly improve their application technology through useful buffering techniques. Java Caching System (JCS) is a distributed buffering system for powerful Java applications and a highly configurable tool with a simple API. This is an article that introduces the JCS overview and shows you how to use it to quickly develop your Web application. Many Web applications are passed Http://www.aliyun.com/zixun/aggrega ...

Seamless cache reads: Dual storage cache Policy

A recent optimization of data statistics for a web, but because of the large amount of data, it takes a long time to execute SQL statistics (generally 700ms is normal). The normal practice is to add a cache. But at the same time the business requires this data to be updated for up to 1 minutes, and there may be more variation in that data (and the original system is not easy to expand). That is, cache 1 minutes to fail to recalculate, and user access to this page is very frequent, if the use of general caching so user experience is poor and very easy to cause super ...

Optimization of caching parameters for MySQL database performance optimization

In peacetime is asked the most questions about the MySQL database performance optimization issues, so recently intended to write a MySQL database performance optimization of the series of articles, I hope that the junior high level MySQL DBA and other interested in MySQL performance of friends to help. Databases are IO-intensive applications whose primary responsibility is data management and storage. And we know that the time to read a database from memory is the microsecond level, and reading an IO from a common hard disk is at the millisecond level, both ...

Hadoop 2.3.0 solve what problems

Hadoop 2.3.0 has been released, the biggest highlight of which is centralized cache management (HDFS). This function is very helpful to improve the execution efficiency and real-time performance of Hadoop system and the upper application. This paper discusses this function from three aspects: principle, architecture and code analysis. Mainly solved the problem What users can according to their own logic to specify some frequently used data or high-priority tasks corresponding to the data, so that they are not resident in memory and Amoy ...

The five characteristics of Cloud data Center network architecture

With the rise of new businesses such as cloud computing, mobile Internet and Web2.0, traditional data centers have been unable to meet. The industry is setting off a new wave of data center construction, with the next generation of cloud computing data centers. Network is one of the important components of cloud data center, the network Architecture of cloud data center must have five new technology features: 100G Ethernet technology, surge cache, network virtualization, unified Exchange, green energy-saving technology. 100G Ethernet Technology Bandwidth pressure is the core problem of cloud data center network. In the data center, like video-on-demand, 10G FCoE ...

Java in the processing of large data, some tips

As we all know, Java in the processing of data is relatively large, loading into memory will inevitably lead to memory overflow, while in some http://www.aliyun.com/zixun/aggregation/14345.html ">   Data processing we have to deal with massive data, in doing data processing, our common means is decomposition, compression, parallel, temporary files and other methods; For example, we want to export data from a database, no matter what the database, to a file, usually Excel or ...

Detailed MapReduce Shuffle Process - Sharding, Partitioning, Merging, Merging …

In MapReduce, shuffle is more like the inverse process of shuffling, which refers to "disrupting" the random output of the map end according to the specified rules into data with certain rules so that the reduce end can receive and process it.

On cloud computing and data Center computing

The cloud computing concept originated in super large-scale internet companies such as Google and Amazon, and with the success of these companies, cloud computing, as its supporting technology, has been highly recognized and widely disseminated by the industry. Today, cloud computing has been widely regarded as the new phase of IT industry development, which has been endowed with a lot of industry and product level significance. Because of the multiplicity of meanings, various concepts are complex, many companies and practitioners have their own cloud, as Xu Zhimo in the "accidental" a poem said: "I am a cloud in the sky, and occasionally projected in your wave heart." Traditional ...

Forecast 2015 Big Data trends star Ring Sun Yuanhao for you

December 2014 12-14th, hosted by the China Computer Society (CCF), CCF Large data Experts committee, the Chinese Academy of Sciences and CSDN co-organizer, to promote large data research, application and industrial development as the main theme of the 2014 China Data Technology conference? (Big Data Marvell Conference 2014,BDTC 2014) and the second session of the CCF Grand Conference in Beijing new Yunnan Crowne Plaza grand opening. Star Ring Technology CTO Sun Yuanhao's keynote address is "2015 ...

Star Ring Technology CTO Sun Yuanhao: Unified, Low-cost, real-time, integration, 2015 data trends

"Csdn Live Report" December 2014 12-14th, sponsored by the China Computer Society (CCF), CCF large data expert committee contractor, the Chinese Academy of Sciences and CSDN jointly co-organized to promote large data research, application and industrial development as the main theme of the 2014 China Data Technology Conference (big Data Marvell Conference 2014,BDTC 2014) and the second session of the CCF Grand Symposium was opened at Crowne Plaza Hotel, New Yunnan, Beijing. Star Ring Technology CTO Sun Yuanhao ...

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