When the core of computing and processing of cloud computing systems is the storage and management of large amounts of data, cloud computing systems need to be configured with a large number of storage devices, then the cloud computing system is transformed into a cloud storage system, so cloud storage is a data storage system. And management as the core of the cloud computing system.
Due to the large number of users, the files that the storage system needs to store will grow exponentially. This requires the capacity expansion of the storage system to keep up with the increase in the amount of data, to achieve unlimited expansion, and to do as much as possible in the expansion process. It is simple and easy to implement, and can not affect the overall operation of the data center. If the expansion of capacity requires complex operations or even downtime, this will undoubtedly greatly reduce the operational efficiency of the data center.
The storage system of the cloud era needs more than just the improvement of capacity. The performance requirements are equally urgent. Different from the limited users in the past, in the cloud era, the storage system will be oriented to a wider user community, and the increase in the number of users makes Storage systems must also have a rapid increase in throughput performance in order to respond quickly to requests, which requires storage systems to have linearly increasing throughput performance as capacity increases, which is clearly not possible with traditional storage architectures. The goal achieved.
Traditional storage systems do not use a distributed file system and cannot distribute all access pressures evenly across multiple storage nodes. Therefore, there is a significant transmission bottleneck between the storage system and the computing system, resulting in a single point of failure. And a variety of follow-up issues, and cluster storage is a good medicine to solve this problem and meet the requirements of the new era.
Cloud storage technology and traditional storage technology
Performance issues. Due to the proliferation of data volumes, the indexing efficiency of data has become more and more concerned. And the data on the TB. Even a few hundred terabytes of data often take a few minutes to index.
Traditional storage technology treats all data as equally important and equally applicable to the enterprise, and all data is integrated into a single storage system to meet business continuity needs. But when faced with big data, it seems to be stretched:
The cost has surged. In large-scale projects, there are too many front-end image information collection points, and the single server has a limited amount of load, which results in the need to configure dozens or even hundreds of servers. This will inevitably lead to a sharp increase in construction costs, management costs, maintenance costs, and energy costs;
Disk fragmentation issue. Since video surveillance systems often use rollback write mode, this disorderly frequent read and write operations lead to a large number of disk fragments. As the usage time increases, it will seriously affect the read and write performance of the overall storage system, and even cause the storage system to be locked as read-only, and cannot write new video data.
Compared with traditional storage, cloud storage has the following outstanding advantages:
Tailored. This is mainly for private clouds. Cloud service providers offer a tailored cloud storage service solution for a single enterprise customer, or they can deploy a private cloud service architecture for their own IT organization. The private cloud not only provides high-quality personal services for business users, but also reduces security risks to a certain extent;
low cost. For now, the cost of data storage for enterprises is quite large, and this cost is increasing with the explosion of data. To reduce this cost pressure, many companies are moving most of their data to cloud storage, allowing cloud storage service providers to solve data storage problems for them. This will allow you to get quality data storage services for a small price;
Easy to manage. In fact, this item can also be summarized as a cost advantage. Because most of the data is migrated to cloud storage, all upgrade maintenance tasks are performed by cloud storage service providers, saving the cost pressure on enterprise storage system administrators. There is also the strong scalability of cloud storage services. When enterprise users grow up and suddenly find that their previous storage space is insufficient, they must consider adding storage servers to meet existing storage needs. The cloud storage service can easily expand the service space on the original basis to meet the demand.
We must know that the traditional storage model is no longer suitable for the real problem of the current data explosion. How to make the emerging cloud storage play its due ability, we still need to work hard to solve the problems of security and compatibility. Cloud computing is a good choice. As its core cloud storage, cloud computing will become an inevitable trend in future storage technologies.
Heavy duty rack is commonly and widely used for industrial storage, including Selective Pallet Rack, VNA rack, push back rack, drive-in rack, gravity oallet flow rack and so on.
Heavy Duty Rack is a type of rack that is more durable and robust than a regular rack, and is typically used for heavier and longer goods, capable of carrying a heavier load while keeping the goods secure. Heavy Duty Rack is composed of a very sturdy rack structure that can support loads of goods, and is made of durable materials, able to withstand heavier weights. Heavy Duty Racks can be adjusted with different layers height based on the requirements, for precise picking and distribution.
Heavy Duty Rack,Heavy Duty Shelving,Heavy Duty Rack Shelf,Heavy Duty Garage Shelving
Nanjing Chinylion Metal Products Co., Ltd , https://www.clrack.com