How should storage virtualization be designed?

When it comes to virtualization, it's a big topic. Initially we all know virtualization, from the server side of the application of the rise. But now, when front-end server virtualization applications have become the norm, the virtualization of back-end storage architectures has been put on the agenda as a matter of course.

Implementation of storage virtualization functions, mainly rely on the following technologies:

Expansion (Scale-out)---- implementation of the storage capacity and performance of synchronous linear growth!

In traditional non-virtualized storage architectures, storage scaling out is accomplished through "substitution". When a storage system reaches its performance and capacity limits, users must acquire a new system to replace the old one. This often results in the old system simply being abandoned. And the user has to invest a large and wasteful upfront investment. Of course, by connecting more expansion cabinets to a certain extent to solve the capacity problem, but the front-end performance bottleneck will become a constraint on capacity expansion of a major problem.

The Scale-out architecture provides users with a unique, dynamic virtualization mechanism that allows users to dynamically expand capacity and performance whenever needed, thus ensuring large-scale improvements in capacity utilization and adoption efficiency while providing a good solution for simultaneous linear improvements in capacity and performance.

Automatic thin provisioning (Thin provisioning)-provides virtual storage space and improves disk utilization!

Thin provisioning is a technique for allocating free space for current applications to write data on-the-fly. It provides a large amount of virtual capacity for application services, which helps users utilize storage capacity more efficiently and delay expansion. We all know that the same capacity level of hard disk and IT equipment prices are in accordance with the advancement of time and a significant decline in the expansion time means that the user can greatly delay the acquisition of the expansion of the storage equipment time, thus significantly reducing the user's storage of the pre-completion of the Department of the cost of the subsequent expansion can also be implemented in the most cost-effective implementation.

Distributed load balancing (load Balance) - maximize performance utilization!

Distributed load balancing is a technology that automatically selects the transmission path for data blocks based on the busyness of the channel, thus avoiding overloading a single channel and making it a performance bottleneck. For example, when a host sends a write request to a storage pool, its constituent data blocks are distributed in a balanced manner to the member storage systems.

As a professional storage system manufacturer, Infortrend has launched the ESVA series of virtualized architecture storage systems to integrate the above technologies, and with a variety of different host interfaces and capacities, Infortrend's virtualized storage solutions can truly solve your storage virtualization needs. Infortrend's virtualized storage solutions can truly solve your Storage Virtualization needs!