Data Partitioning

An optimal algorithm for I/O performance of cloud storage system based on dynamic mixed partitioning mechanism Ma Yi June, Ran, Feng Keng, Shen Ye in order to solve the problem of the storage I/O performance optimization in the cloud storage system, the paper studies from the angle of the data distribution, and based on this, gives the I/O The piecewise decision algorithm with optimal performance and the calculation method of the optimal fragment number, a data distribution algorithm (DADH) based on dynamic mixed fragmentation mechanism is proposed. Dhah can take full account of each storage node and the actual performance of the client, dynamic file fragmentation ...

Modern computers use virtual memory to have more memory. Virtual memory can also help to accomplish more things. Part of the disk space can be used as an extended http://www.aliyun.com/zixun/aggregation/17967.html "> Memory space, the swap area." In a Linux system, it is possible to swap files, swap partitions, or join the two or no swap partitions. Swap partitions are a little faster than swapping files, and Linux systems ...

Micro-partitioning Statistics is a differential zone statistic and file-making tool for running the system p and system I servers of AIX/LINUX/AS400IBM. The tool is able to record the history of the Lpar's CPU utilization graphics and shared CPU usage, and to collect physical and logical configuration data. Micro-partitioning Statistics Tool 2.66 This version adds Hea statistics to IVM. ...

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.

MongoDB is a product between relational database and non relational database, and is the most powerful and relational database in the relational database. The data structure he supports is very loose and is a JSON-like Bjson format, so you can store more complex data types. The biggest feature of MONGO is that the query language he supports is very powerful, and its syntax is somewhat similar to an object-oriented query language, which can almost achieve most of the functions of a single table query like relational database, and also supports indexing data. Just released MongoDB 1 ...

1.1: Increase the secondary data file from SQL SERVER 2005, the database does not default to generate NDF data files, generally have a main data file (MDF) is enough, but some large databases, because of information, and query frequently, so in order to improve the speed of query, You can store some of the records in a table or some of the tables in a different data file. Because the CPU and memory speed is much larger than the hard disk read and write speed, so you can put different data files on different physical hard drive, so that the execution of the query, ...

As the pioneer of the Internet finance field, founded at the end of 2009 Ali Small Loan development intention is to Taobao and Cat on the seller to provide microfinance business, to achieve "let the world No difficult business" goal. With the rich form of products, the expansion of service objects, small loan business growth quickly, on average annual growth rate of four to five times times.       After nearly 5 years of development, there have been more than 360,000 people from Ali small loan loans, the minimum loan amount of 1 yuan. With the traditional bank ...

Zhang Fubo: The following part of the forum is mainly four guests, talk about cloud practice. Beijing First Letter Group is the Beijing government's integration company, mainly responsible for the capital window of the construction, they are also in the domestic, in the government industry earlier in a company, as the first letter Group Technical Support Center General Manager Zhang Ninglai for us to do the report. Zhang: Good afternoon, we have just introduced, I am from Beijing First Letter Development Co., Ltd., I bring today is the result of our practice in cloud computing technology these years. Today is mainly divided into three parts, we mainly do is the field of e-government applications, we are mainly ...

Spark is a cluster computing platform that originated at the University of California, Berkeley Amplab. It is based on memory calculation, from many iterations of batch processing, eclectic data warehouse, flow processing and graph calculation and other computational paradigm, is a rare all-round player. Spark has formally applied to join the Apache incubator, from the "Spark" of the laboratory "" EDM into a large data technology platform for the emergence of the new sharp. This article mainly narrates the design thought of Spark. Spark, as its name shows, is an uncommon "flash" of large data. The specific characteristics are summarized as "light, fast ...

MapReduce: Simple data processing on large cluster