How does data scale support large datasets?

With the development of cloud computing and the Internet of things, many changes have taken place in the type of data produced, and the large data has become another challenge to traditional IT systems, from structured data in the past to semi-structured development. Cloud computing and large data have a certain degree of overlap, but each has a different focus, and the traditional it architecture presented a different challenge: such as the size of data to support a large dataset? In the environment of massive unstructured data, how to manage data effectively?

Hewlett-Packard released its latest fusion storage (HP converged Storage) strategy on HP Discover 2011 in Las Vegas, USA, in June this year, while launching a series of new storage and upgrades, covering 3PAR, lefthand and Ibrix, There are upgraded midrange P6000 Eva Systems, X5000 G2 networked storage systems, and so on, where X9000 Ibrix networked storage systems are also an important part of converged storage.

Large data and cloud storage

The X9000 series is the core file storage infrastructure layer of HP's converged infrastructure. is a series of scale-out NAS devices that meet the vision of HP's automated, concise, affordable, and future-oriented storage environment, and are fully geared towards current "big data" and "cloud storage" requirements.

▲ Product manager of HP Storage products Mr. Wang Wei introduced the X9000 series in IT168 video interview studio

Product manager of HP Storage products Mr. Wang Wei said: "From large data needs, can be divided into two categories, one is a large number of small file storage, such as every time we go out to travel photos, although a single file is only two or three trillion, three or four trillion, but the number is very likely very large." On the other hand, the storage requirements for large files, in other words, the size of a single file to achieve a very large scale, more representative of the video monitoring flow, a monitoring time is often required from early to late, a video stream file size is extremely alarming, such a large file storage problem is also we have to face the problem. ”

▲ Wang Wei summed up the current large data and cloud storage application of the more common data types, can be summed up as two types of requirements, one is the mass of small file storage, a class of large file storage

In addition, Mr Wang Wei believes that, in view of the risk of the core business cloud migration, at present when users consider the cloud, the first concern is the edge of the Non-core business, in fact, many of the user's Edge Non-core business involves file storage problems, Large file storage and mass of small file storage has become a very serious problem in the whole cloud construction, can actually put together for consideration.

The challenge of large data and cloud to traditional storage is summed up by Wang Wei as two points: the big data and cloud are the first to cost, how to build the cloud in a reasonably low-cost way, and the second is the degree of satisfaction with the overall business requirements, including whether performance is met, and the reliability and Whether manageability can meet the needs.

(Responsible editor: The good of the Legacy)