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Imagine that when Google realized cloud computing, it had advanced data centers, storing data from hundreds of millions of of users or businesses, and then users and businesses were accessing services and supporting their business needs through cloud computing software. This will have a lot of user connections and the need for online access to the database. Therefore, how to ensure the speed of access and the timeliness of data connectivity will be the core of the "cloud computing" model. A system or architecture, no matter how advanced, will not appeal to the user when the speed of access is not enough.
So, the storage of data is very important in cloud computing. Storage includes backup and archiving. Powerful storage delivers reliable archiving and backup needs. Storing data in cloud computing is not a new concept, but a higher requirement for presence in cloud computing to ensure high connectivity, good user and online database reliability. These are the issues that users are most concerned about.
Cloud computing users have three kinds, one is individual users, one is small enterprise users, there is a large enterprise users.
The first step for individual users into cloud computing is likely to be the software services provided by cloud computing, such as Google's Google Docs and so on. These users do not necessarily keep the documents in the cloud storage, but on their own personal PCs is also convenient, but after the practical cloud computing, there will be some relevant data stored on the storage.
For small business users is the use of cloud computing is mainly the need for collaborative work between enterprises or in the cloud computing leasing service "zone" as its own enterprise IT support platform, such as e-mail, instant messaging, document management and so on services. Q-layer, for example, has a virtual database center for Small business leases for IT support.
For large enterprises, there are a lot of impassability. Large enterprises generally have strong capital and can build their own data centers, in particular, have their own perfect internal IT systems, for example, Lenovo, Huawei Internal has advanced and developed OA and other office platforms, but also includes network facilities and system server management, so they will be more in the retention of their own investment in the case of "march Cloud。 But for big companies, even if they don't get into the cloud, they can keep their internal IT systems running.
As the development database of the enterprise grows, the cloud computing that the big enterprise most likely uses first is the part of data archive. Businesses are constantly generating new data and backing up, so it must be archived, online, and offline. Data management, protection, and multi-site scalability are important to users.
The most important consideration in data archiving is the management of data retention cycles. This not only determines the magnitude of the storage, but also determines the complexity of the management. In practice, the management of data retention cycles is controlled. This is also a strategy adopted by many service providers and provides a user-friendly interface to facilitate user Configuration and control.
From the above, the storage of data is critical to the cloud computing of the data, and the enterprise must make important consideration of storage when planning cloud computing. Without data, there would be no cloud computing, no storage, and cloud computing would have lost its footing. Storage is a priority in cloud computing. Although different users have different reasons for practical cloud computing, they are consistent with database storage requirements.
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