Three big cloud storage scheme comparison type shopping guide

The industry defines cloud computing in a variety of ways, but, as seen from several well-known cloud computing models, storage is a fundamental support component that is not in any way open, and cloud storage, as one of the branches of cloud computing services, mentions storage as the primary location. At the same time, there are not many vendors who can solve storage problems well in the underlying architecture, and storage is facing a number of bottlenecks to achieve cloud computing.

At an Intel Media training camp, Intel (China) Limited server platform Product manager Chang said: "Today we talk about cloud computing and virtualization in the cloud architecture, storage is a very difficult problem." ”

Addressing the challenges of unstructured data growth

In an Intel-planned cloud storage system, the actual storage requirements of the user are divided into two types, what we call structured and unstructured data.

Structured data is generally stored in databases, often called database data, and is often based on this type of data in business-critical applications such as Oracle and SAP. This type of data can be expressed and implemented by using the two-dimensional table structure logic of the database. Each read the data block is often not large, generally 4K or 8K, but read and write is often very frequent, because each read and write will bring hard disk head to track the read and write delay, so the traditional storage system is often used in large-scale concurrency, And a large number of reading and writing optimization to ensure the access requirements of structured data.

In addition, as the key business application of the data storage cornerstone, data security must be guaranteed, and therefore, the storage system designed for structured data storage also often uses a large number of data security protection measures to protect the enterprise key business operations data security.

The IOPS performance metrics that measure database literacy have been the ultimate pursuit of enterprise storage System design, however, as cloud computing is increasingly pervasive, social networking is booming and mobile internet and IoT are thriving, and users are suddenly discovering that structured data in the past has evolved into unstructured and semi-structured Big data is another challenge to traditional IT systems.

    The figure for IDC's data growth trend forecast for 2010 to 2014, in which the bottom yellow block represents the growth of structured data generated by the traditional enterprise database, with an annual growth rate of only 23.6%; Red data above the yellow data, Represents backup data from the enterprise system and data Warehouse, as can be seen from the graph, its growth trend is not obvious, the annual growth rate is 24.2%; the gray blocks above the red data represent the growth trend of unstructured data such as archiving, which can be seen as a noticeable increase and an annual growth rate of 54.8% per cent; The top green section is growing fastest, with the annual growth rate of 75.6% per cent, which comes from the content warehouse, which includes a variety of file data from applications such as Web, e-mail, social networking, and document sharing.