Jichuan: Cloud computing/large data complement opportunities and challenges

Source: Internet
Author: User
Keywords Cloud computing large data security Jichuan

Today, the Second China Cloud Computing Conference opened in the National Conference Center, this Congress invited well-known academicians, experts and scholars, industry CIO and other participation in the meeting, will be more international perspective, to help participants understand the global http://www.aliyun.com/zixun/ Aggregation/13422.html "> Development trend of Cloud computing technology.

At the meeting, Jichuan, President of the Conference (China Association of Cloud Computing Technology and Industry, honorary chairman of the China Electronic Society/Ministry of Telecommunications, Information industry) delivered a speech, he said that the cloud computing conference is a platform for communication, but also a platform for demonstrating cooperation, and hope that representatives and participants will exchange and learn more.

These six years in the domestic scientific and technological sectors, with the joint efforts of industry and users, China's cloud computing has made great strides, jichuan that the knowledge of cloud computing is becoming more accurate and in place, and the application scale and practice depth of cloud computing are also expanding, at present, cloud storage service user scale has exceeded 40 million, The dedicated cloud is also expanding from education, medical care, manufacturing to transportation, government affairs, finance, social management and other fields.

He also said four points about the theme of the conference, "Big data on cloud computing drives wisdom China":

First, cloud computing and large data are complementary, large data mining processing needs of cloud computing as a platform, while large data covers the value and law, which also makes cloud computing can be better and industry use combined to play a greater role. Cloud computing resources as a service to support the mining of large data, and the development trend of large data is the real interaction of massive data query and analysis provides valuable information.

The combination of cloud computing and large data will probably become a new tool for human beings to understand things and improve various decisions. Cloud computing and the combination of large data, you can use efficient, low-cost computing resources to analyze the vast number of data dependencies, rapid understanding of things in common.

Thirdly, the security of cloud computing and the protection of large data privacy are important prerequisites for the rapid development and application of large data and cloud computing. No network security, no data security, no data security, no information security, no information security, there is no cloud storage security, in the final analysis is not the security of the network without the security of the country. We urge the scientific and technological circles to pay attention to the security of cloud computing and pay attention to the privacy protection in large data mining. and from the technical level of in-depth research and development, to prevent attacks against viruses and hackers, to ensure the autonomy of information users, but also to speed up the progress of legislation, the protection of information security, the maintenance of good information services environment.

To improve and develop the standard of cloud computing service as soon as possible, including all kinds of cloud services within the network structure of the interface standards, the use of cloud services access conditions, as well as the provision of cloud services enterprise certification and industry self-discipline, to improve cloud computing related laws and systems, clear information providers and information consumers of the rights and responsibilities. and to establish and improve the cloud computing standard system and cloud computing security assessment Certification system, so that cloud service providers rule-based, so that cloud service users to ease of use.

(Responsible editor: Meng)

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