Government Procurement Cloud Service Standards To Accelerate Development Of The Main Documents Have Been Completed

< < p > > from the "2014CATR white paper conference" site, the white paper on cloud computing pointed out that the government procurement cloud service standard will speed up the development, and the main document of the government procurement cloud service required by many departments, procurement guidelines and the preparation of the white paper has been completed.

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< < p > > < < a href= > http://www.91se91.com/news/index_c.asp > > < < /a > white paper > issued by the Telecommunications Research Institute of Ministry of industry and telecommunications, pointed out that in order to promote the application of cloud services in government and public utilities, the Ministry of finance, the Ministry of industry and information, the central government organ procurement center and other units pointed out and directed, "Data Center Alliance" carried out the compilation of government procurement cloud service standards, procurement guides and white papers, and has completed the compilation of the main documents, laying the foundation for the next step of procurement implementation.

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< p > white paper puts forward that at present, there are such problems as repeated investment, < a href= "http://www.91se91.com/news/index_c.asp" > network partition < /a > in the construction of local e-government.

In order to solve the above problems, the Ministry of information technology of the Ministry of information technology has launched a series of work, including top-level design, standard development, pilot demonstration and so on, based on cloud computing e-government platform.

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< p > according to the survey of cloud computing enterprises and < a href= "http://www.91se91.com/news/index_c.asp" > User < /a > by the Telecommunications Research Institute of Ministry of information technology in 2013, 38% of the surveyed enterprises already had cloud computing applications, and 76.8% of the enterprises in the cloud computing applications indicated more business began Xiang Yun's environmental migration.

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< p > related links: < /p >

< p > big data analysis can solve the general challenges posed by dealing with a large number of datasets that are independent of and can not be stored in a single server or database.

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< p > this problem can be solved by using distributed parallel processing distributed large data sets on multiple servers, each server processing part of parallel data.

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< p > big data analysis can work with structured and unstructured data, because it does not need a specific structure.

An example of this approach will be the use of Hadoop's MapReduce, which can also be seen as the far-reaching impact of big data on today.

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< p > although there are currently ways to process large amounts of data, big data processing is reduced so that it can be completed within a specified time.

Now, the concept of time limit is more and more related to "real time" than ever before.

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< p > although RTBDA is still a relatively new concept, it solves the need of real-time active or passive measures.

This is based on what Internet content and service providers have learned about what is happening, checking the situation and taking action in real time.

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