Ufida Linda: Cloud computing has been widely accepted by Chinese enterprises

April 23, 2012, http://www.aliyun.com/zixun/aggregation/14064.html "> Ufida Software in Beijing, the Great Wall of water officially released" Ufida Enterprise Cloud Platform "and the new Ufida logo--" yonyou ”。 New products and signs show Ufida's determination to proceed to cloud computing. The new Ufida platform Enterprise Cloud platform, including for large enterprises, small micro-enterprises, medical and health industries such as cloud platform and cloud services. Ufida This new strategy is called the "New Great Wall plan."

Ufida Vice President and CTO Linda

At this conference, Ufida vice President and CTO Linda published a theme speech on cloud computing.

In the speech, Linda said: The real value of the cloud is the power of information aggregation, the previous elastic calculation is only a prelude, but the means, eventually we want to return to the essence of the problem is the cloud information processing.

The direction of the cloud era is the real information processing. Traditional enterprise data, traditional enterprises in the cloud era from concern about their own business to the whole industry chain of concern, its data are mostly structured data, in addition to telecommunications and financial industry, they innovate very slowly.

At this time there is another situation, the data type is extremely complex, there are media, audio, video, text, it and the number is not related. We also need other data processing methods for social networks. In advance through clustering and staging technology to solve the problem of traditional enterprise interaction data, we reach million per second, for the traditional business transactions, social data in the industry to find a solution is to sacrifice the data association, to share its expansion, The machine data is just in our postdoctoral research station and joint unit work together, through the column-type storage based on the solution, it has a large number of machine storage, we have a more than the traditional engine problems. Does that solve the problem? No, eventually we rebuilt the system, put these three things together, forming a new generation of enterprise information processing architecture, why I put these three things together, because these three things are our business category, inseparable, for a business, is inseparable.

We redesigned the remote Enterprise Information processing architecture, imported structured data into our system, and even synchronized with search engines. We handle 8TB structured data in 2-way nodes, analyze scenarios 50 times times performance boost, 10 to 20 times times storage compression ratio, and single data cluster manage PB-level enterprise information. With this architecture in the Internet and traditional information network integration, we found that the information network can see the innovation, such as the application of personal medicine, eventually formed an integrated operating system, can carry out operation and tracking, can carry out personal health care related a series of services. It's not a surprise to me.

Surprise is another thing, such as a dairy CIO, the past demand is very loose, and now not only to know the situation of cows, but also to take temperature every day to know its health status, and Ufida system can be very good manu their needs. We solved the problem by inputting the information related to dairy cows and feeds into the system.

From these practical situations, cloud computing is no longer in the theoretical stage, but has been accepted by the vast number of enterprises. What is even more exciting is that many Chinese entrepreneurs are starting to pay attention and are willing to accept cloud computing. And Ufida as the leader of China's cloud computing, its role in the cloud computing tide is not only related to the development of their own enterprises, but also with the development of cloud computing in China directly related. This is not only an advantage for Ufida, but also a responsibility and burden.

(Responsible editor: Liu Fen)