Mysql Database Architecture Diagram

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Data Center Storage architecture

The storage system is the core infrastructure of the IT environment in the data center, and it is the final carrier of data access. Storage in cloud computing, virtualization, large data and other related technologies have undergone a huge change, block storage, file storage, object storage support for a variety of data types of reading; Centralized storage is no longer the mainstream storage architecture of data center, storage access of massive data, need extensibility,   Highly scalable distributed storage architecture. In the new IT development process, data center construction has entered the era of cloud computing, enterprise IT storage environment can not be simple ...

Detailed Hadoop core architecture

Through the introduction of the core Distributed File System HDFS, MapReduce processing process of the Hadoop distributed computing platform, as well as the Data Warehouse tool hive and the distributed database HBase, it covers all the technical cores of the Hadoop distributed platform. Through this stage research summary, from the internal mechanism angle detailed analysis, HDFS, MapReduce, Hbase, Hive is how to run, as well as based on the Hadoop Data Warehouse construction and the distributed database interior concrete realization. If there are deficiencies, follow-up ...

Detailed Hadoop core Architecture hdfs+mapreduce+hbase+hive

Through the introduction of the core Distributed File System HDFS, MapReduce processing process of the Hadoop distributed computing platform, as well as the Data Warehouse tool hive and the distributed database HBase, it covers all the technical cores of the Hadoop distributed platform. Through this stage research summary, from the internal mechanism angle detailed analysis, HDFS, MapReduce, Hbase, Hive is how to run, as well as based on the Hadoop Data Warehouse construction and the distributed database interior concrete realization. If there are deficiencies, follow-up and ...

The architecture design of depth analysis Cloudfoundry

VMware suddenly released its first open source Paas--cloudfoundry this April. In the months since its release, the author has been concerned about its evolution and benefited from its architectural design, and felt the need to write to share it with you. This article will be divided into two parts: the first part mainly introduces the architecture design of Cloudfoundry, from the module that it contains, to the information flow of each part, how the modules coordinate and cooperate; The second part will be based on the first part, how to use Clou in your data center ...

Game Cloud Game Distributed advanced Deployment Architecture Scheme

Distributed Deployment architecture: implementation of the application of loose coupling, will Web application server and caching, database services and other modules decoupling, and physically isolated deployment, so that the level of functional modules can be extended, but also to avoid the cloud server IO scramble to bring about the performance degradation problem. Eliminate the single point of deployment: More than one login server, the back-end game area deployed more than one, all provide the same service; both are configured load balanced sharing flow, to avoid single point of failure. Game Update Service: can be based on Aliyun OSS+CDN provide static file distribution of low latency, if the game has a lot of ...

Build highly available MongoDB clusters

MongoDB company formerly known as 10gen, founded in 2007, in 2013 received a sum of 231 million U.S. dollars in financing, the company's market value has been increased to 1 billion U.S. dollar level, this height is well-known open source company Red Hat (founded in 1993) 20 's struggle results. High-performance, easy to expand has been the foothold of the MongoDB, while the specification of documents and interfaces to make it more popular with users, this point from the analysis of the results of Db-engines's score is not difficult to see-just 1 years, MongoDB finished the 7th ...

Hadoop data transfer tool: Sqoop

& http: //www.aliyun.com/zixun/aggregation/37954.html "> The ApacheSqoop (SQL-to-Hadoop) project is designed to facilitate efficient big data exchange between RDBMS and Hadoop. Users can access Sqoop's With help, it is easy to import data from relational databases into Hadoop and its related systems (such as HBase and Hive); at the same time ...

The PM2.5 on the clouds

Absrtact: With the rapid take-off of China's economy, the development of environmental pollution problems intensified, haze in all regions raging, PM2.5 index frequent "explosion", the daily life of the people caused great trouble, aroused public opinion's strong concern. The Government attaches great importance to and put PM2.5 monitoring work in the focus of environmental protection work. Cloud creates storage independent innovation PM2.5 cloud monitoring platform breaks the traditional research and development way, utilizes the innovative design idea, causes the environmental protection and the cloud computing high-end technology organic combination, the structure massive monitoring data storage, the processing platform, may reflect each region's air quality microcosmic, for the public ...

The future of mass storage--memory cloud?

Tcl's founder, academician of the American Academy of Engineering, and ACM fellow John Ousterhout are currently teaching at Stanford University, and his main research projects in recent years have been ramcloud--memory clouds. As the name suggests, Ramcloud is such a new data center storage system, which is a large-scale system composed of thousands of ordinary server main memory, at any time, all information is stored in these fast dram (dynamic random access memory, commonly known as memory), Memory replaces the traditional system in the hard drive, the hard drive only ...

Big Data Doomsday omens or big business opportunities?

We have all heard the following predictions: By 2020, the amount of data stored electronically in the world will reach 35ZB, which is 40 times times the world's reserves in 2009. At the end of 2010, according to IDC, global data volumes have reached 1.2 million PB, or 1.2ZB. If you burn the data on a DVD, you can stack the DVDs from the Earth to the moon and back (about 240,000 miles one way). For those who are apt to worry about the sky, such a large number may be unknown, indicating the coming of the end of the world. To ...

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