云计算发展存在哪些问题(云计算需要解决哪些问题)

The development of cloud computing faces four problems:
1. Cloud service capabilities need to be improved urgently and supporting resources are scarce. There is still a big gap between domestic cloud computing service capabilities and developed countries such as the United States. The scale of the public cloud computing service industry is relatively small, the business is relatively single, and the supporting environment construction is lagging behind. As Google, Amazon and other companies accelerate their deployment around the world and around China, the risk of cloud computing services being concentrated overseas will further increase.
2. The information security laws, regulations and supervision system are not sound enough. In terms of data and privacy protection, security management, etc. related to cloud computing security, China's cloud computing industry ecology has major deficiencies. At the same time, due to security concerns and other concerns, the usage rate of cloud computing services in China is also lower than that in developed countries such as the United States.
3. The deployment structure of the cloud data center is not reasonable enough and the resource utilization rate is low. Statistics show that in terms of scale structure, the proportion of large-scale data centers in China is relatively low. The development scale of large-scale data centers is even less than the total number of a certain foreign Internet company. Intensive and large-scale construction has not yet been achieved.
4. Cloud talent gap and lack of mature business model. According to data, China's cloud computing talent gap reaches one million levels, and cloud computing-related positions grew by more than 150% in 2012. The cloud industry ecology requires the integrated development of IT and CT industries, as well as the cultivation and construction of compound talents. Therefore, subject integration and the cultivation of compound talents are particularly important.

Cloud computing has many benefits, especially cost advantages, which makes cloud computing very attractive in the current situation. The advantages of cloud computing include: access to computing resources without additional capital investment, reduced data center infrastructure and electrical energy consumption, reduced PC processing energy consumption and costs, the ability to complete projects faster and better, ensuring remote working IT There may be many other advantages as personnel keep infrastructure and software updated. On the other hand, cloud computing, with the support of virtual machines, allows applications to adapt to needs more dynamically and improve business processes. For example, in the face of rapidly increasing demand for customer-oriented web applications, processing capabilities can be rapidly expanded.
The disadvantages of cloud computing are also obvious. Enterprises that choose to use cloud computing give up direct control of enterprise assets running in cloud computing. The data and applications accessed through cloud computing are located in the cloud, not in the cloud. Enterprise data center under your own control. It can be seen that the consequences of insufficient cloud computing security protection are very serious, and the theft of sensitive data will directly have a serious impact on corporate intellectual property rights, corporate reputation, etc.
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A big problem facing cloud computing is energy saving. Cloud computing, also known as grid computing, is a type of distributed computing. Through cloud computing, tens of thousands of data can be processed in a short period of time. The concept of cloud computing was first proposed in August 2006, becoming the third revolution of the Internet.

A big problem faced by cloud computing is

The characteristics of cloud computing include: virtualization technology, dynamic scalability, on-demand deployment, high flexibility, high reliability, high cost performance, Scalability.

The implementation forms of cloud computing include: software as a service, network services, platform services, Internet integration, business service platforms, and management service providers.

The development problems faced by cloud computing include: access permission issues, technical confidentiality issues, data integrity issues, and imperfect laws and regulations.

Operating environment

Brand model: Universal

System version: Universal

The current difficulties in breaking big data are mainly as follows:
1. Information barriers reduce the efficiency of resource allocation in the big data industry. The development of the big data industry must realize the free flow and sharing of data information. If the data is not open and shared, data integration cannot be achieved and the value of the data will be greatly reduced.
2. Government departments are the main controllers of social information, and their information is controlled by different departments and regions. However, the data standards between different departments and regions are different, making it difficult to share information resources.
3. Weak data security management increases the development risks of the big data industry.
Data security and privacy protection are global problems in the development of the big data industry. This is mainly reflected in three aspects: First, the massive storage of data increases the difficulty of data security, which may cause a large amount of data to be damaged or lost, resulting in Unimaginable consequences; secondly, in the era of big data, the diversity and complexity of data require people to form a stronger security awareness, but in reality, the security awareness of both enterprises and individuals has not changed from the traditional non-information age. There are huge potential risks; thirdly, cyber attacks bring data security risks. With the widespread use of big data in government, finance, public utilities and other fields, the losses caused by data leakage far exceed the scope of the industry, but are global. national security issues.