Although the concept of multi-layer storage is not new, the older, basic forms were limited almost entirely to the processes initiated manually. An example is the classification of the data and determine their validity for the company, as well as configure various storage media so that the data can migrate between them and thus create a different tier of storage.
A well known example is the use of tape storage to archive older data to tape, to ensure that the disk storage will be used primarily to store current data generated by applications that require high performance.
For various reasons, including Due to the ongoing for several years of economic slowdown, the storage efficiency has become one of the priorities of the industry. Companies started to evaluate the activities of data centers and focused on efficiency as a way to increase return on investment and better utilization of current investments. The traditional multi-layer storage of manually controlled processes proved to be one of the main "candidates" to increase efficiency.
Storage vendors have developed solutions that largely automate the handling of layers, offering a platform for intelligent applications to resource allocation and distribution of data within the system memory.
Algorithms built into the storage solutions, which offer an automated service layer technology, to help classify data and define priorities to be granted to the various collections of data. Furthermore, after appropriate data classification, automated migration process helps in transferring data between different media types, providing a full optimization of multi-layer architecture.
Corporate data centers perform a wide range of applications, which differ considerably in terms of requirements for the level of service. The automated tiering helps to ensure that each application the level of services they need. Powerful applications can be assigned to high layers, using an SSD or SAS, while less demanding applications can benefit from the lower layers of nearline disks.
What's more, the data is stored in the storage array to the underlying hardware through automatic migration, which moves data between tiers based on the previously mentioned algorithms. The new, active data is stored in the upper layers, and the older data in the lower.
Today, many enterprise-class solutions also supports the division into layers below the volume (or LUN below), allowing storage of a single data volume (LUN) on multiple layers. The division into layers below the level of volume that can greatly increase the efficiency of the automatic data migration by moving them between layers in a much smaller units.
SSDs integrate very well with an automated multi-layer storage. SSDs offer higher performance than traditional hard drives, and are particularly suitable for applications where there is a large number of input-output operations per second. In the past, SSD prices were so high that few companies could afford them, but over time have substantially decreased. In addition, shortages of hard drives caused by flood in Thailand in 2011 contributed to the fact that SSDs have become a viable option for companies.
In traditional storage arrays without an automated system layers SSDs usually quickly filled with older data and were not fully optimized for the new data generated by mission-critical applications. Transferring data from SSD to other media at times time-consuming process.
The automated use of layers, which includes automatic data migration, legacy data are automatically transferred to other media in such a way that SSDs could be used for what they do best. In the case of division into layers below the previous volume in the volume data can be automatically transferred to the lower classes, not to occupy valuable space in the stations SSD. Using the minimum number of SSDs in architecture with an automated service layer, companies can easily and economically meet the requirements of high-performance applications.
Technology layers of an automated system also increases the lifetime of memory solutions, reduces the amount of space physically occupied by the storage and reduces power consumption since SSDs consume much less energy than other types of stations.
Furthermore, solutions with automated service layers allow you to greatly simplify storage management. In traditional solutions, without this technology, IT administrators must manually configure the data migration operations and assign applications to specific storage media. With multiple layers of automated handling of such an operation is performed without operator intervention, reducing the time that administrators spend on storage management, thereby reducing management costs.
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