Upgrade storage nodes to multi-node distributed, cloud storage innovation
Source: Internet
Author: User
KeywordsCloud computing cloud storage early Chi cloud computing
From turtle bones to bamboo and then to paper, storage media such as magnetic tapes, disks, optical disks, hard disks, and data are constantly evolving. From small volume to large volume, storage technology is getting more and more advanced. However, these storage media are not perfect to solve the data security and long-lasting problems. Therefore, to create persistent storage based on these fragile storage media, you must rely on the appropriate policies and technologies.
Traditional storage devices will adopt the scale-up architecture to solve the problem of storage scalability. However, this kind of architecture will show the defects of high cost, long time and great difficulty in handling massive data. As a result, cloud storage is born. The cloud storage adopts a scale-out architecture with scale-out, which better solves the problem of Scale-Up architecture.
Scale-Out refers to a large and strong storage system formed by an independent low-cost storage node through a certain distributed access technology. Instead of upgrading the storage nodes, the system can process and scale storage capacity by adding storage nodes.
With the Scale-Out architecture, the deployment of storage systems is greatly simplified and the storage capacity can easily reach the level of PB, which is in line with the mass storage in cloud storage. Scale-Out architecture, for each additional storage node, performance and capacity increase at the same time, and will not affect the use of the original system, does not require business interruption. Users can purchase on-demand storage, once the capacity is not enough, and then buy a storage node connected to the original storage on it, in line with the high scalability of cloud storage features. Due to distributed technology, Scale-Out architecture systems enable high-performance systems with a stack of inexpensive servers and storage devices. This greatly reduces the cost of purchasing, deploying and upgrading the storage system in line with the low cost of cloud storage.
Chu Chi technology as a cloud storage development company, has been committed to the development of cloud storage. In early cloud storage system, multi-node distributed parallel processing storage access business model. Front-end computing nodes and storage are distributed access, nodes and nodes through high-speed network connection. When a cloud storage device needs to be extended, the cloud storage device expands by adding nodes.
The early storage system supports that different hard disks on the same storage node are used by multiple storage spaces to break the limitation of the number of storage spaces and the space allocation, which can effectively improve the utilization of storage space and reduce the unit cost of data storage.
At the same time, for each massive storage node, each intelligent storage node in the memory storage system utilizes a flexible hashing algorithm to generate a globally unique file identifier. The storage node, the path and the file name attribute are mainly used for calculating, and the arbitrary three-dimensional positioning file Location, abandon the traditional cluster storage metadata dependence, improve the efficiency of reading and writing large amounts of data. Not only that, Chu Shi cloud storage system put aside the hard disk RAID, node-level downtime does not lose data, node-level data security. It also provides remote off-site backup and recovery across WANs. It enables remote disaster recovery of locally stored data and eliminates geographic restrictions on security policies to build a comprehensive and complete data security strategy.
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