Home office or online education makes cloud storage is becoming increasingly popular under the influence of the epidemic, many enterprises in reform and innovation and cloud storage to give a lot of attention.
Cloud computing is similar to cloud storage. It refers to the use of clustered applications, grid technology and distributed file systems. Number of different types of network storage device by the application software to work together to provide external services and data storage. Ensure data security and access systems to save storage space.
In short, cloud storage is to go above data into the cloud to facilitate the work of when to use. Users can easily connect to any device connected to the network can access the data via the cloud anywhere, anytime. To cloud business is not just simply upload the data, it is an intelligent business operations model. When uploading and saving data, we also need to find the resources needed for common development of enterprises in the cloud.
Traditional manufacturing, for example, manufacturing companies often face difficulties in financing, limited sales channels, backward management, lack of information and weak ability to integrate resources issues. Status information can not be optimistic. Many sectors of the business, scene complexity, requirements vary. Some SMEs are growing rapidly and is difficult to obtain customized services to match. Existing services dispersion fragmented, delivery quality can not be guaranteed, the system is not sustainable, not professional. Cloud also has the technology, price and professional threshold.
According to the characteristics of the manufacturing sector, different stages of development and the existing information-based manufacturing enterprises and individual needs, from shallow to deep, from easy to difficult, different industries guidance and implementation strategies. Different sectors of manufacturing companies select the "cloud" approach, different sizes of different manufacturers recommended "cloud" products to meet the needs of enterprises.
YottaChain manufacturing industry solutions
1, to re-encrypt the patent, to ensure data sovereign, costs are low enough: Cloud clear key is not stored, the database also invalid break; a cipher text of a store, all the keys for all users of the document are not the same; encrypted to still achieve weight, saving storage space; decryption are done locally, no explicit flow on the network.
2, to ensure the reliability of data stored is not lost: The erasure code storage block chain technique, data reliability reaches 15 9.
3, access control: rights mechanisms to effectively control the use of the document, further enhance security. Administrators can not view the contents of the file storage system administrator can maintain the system and personnel, you can not see the contents of the file system storage.
4, remove the protection against accidental erasure: when people are sharing, delete the shared space file, file sharers into the Recycle Bin, the file owner to protect document security. After the files are deleted into the enterprise space trash business administrator / archivist, will not be completely removed direct general staff, serve to protect corporate office documents online.
Clouds can get information on manufacturing production, manufacturing, logistics, marketing and other aspects of the cloud platform, point-and-end production. Greatly improved production efficiency. In addition to traditional companies, emerging Internet companies, enterprises in the cloud can also get more benefits, you can access user data large portrait of statistics on user preferences, and even their own content filtering has become extremely convenient.
Pancyclic Technology YottaChain enterprise cloud storage (Laoning668) data protection solutions, relying on the block chain store features a unified interface to manage integration of disaster recovery, backup, data re-use, efficient storage of self-protection under cloudy environment, reducing customer disaster recovery construction costs, enhance the value of the data.