Compellent storage virtualization: Live Volume
It is worth mentioning the storage virtualization solutions that Compellent, a US company based in Minnesota that works in the field of storage solutions of considerable thickness, has arrived.
Acquired by Dell for $960 million in December 2010.
We would like to point out:
Live Volume
It’s like a storage hypervisor, a volume mapped from two arrays at the same time. This allows volumes to be moved between systems with a view to high availability and continuous access to data. The data is not physically tied to any particular arrary or particular datacenter. Instead, volumes can be accessed and/or shared from different locations, making Live Volume a key enabler for virtualization and the cloud.
Advantages of Live Volume:
- Supports automated thin provisioning and tiered storage
- It costs a fraction of other solutions, without additional hardware.
- Works with multiple hypervisors, including VMware vSphere, Microsoft Hyper-V, and Citrix XenServer
- It does not impose any limits on the number of volumes that can be created, shared, deleted, or updated
- It allows companies to scale costs by treating array grids as one.
OnDemand WorkLoad Distribuition:
In our opinion, this is a feature that brings enormous progress and innovation in many areas.
It allows users to split the workload between arrays and download I/O from one storage system to another, without disruption to applications.
The workload is transparently distributed across arrays, automatically balancing I/O traffic and storage utilization to increase application performance with low latency. Applications continue to function as usual during the volume migration process, and workload is transferred from a
system to another without impacting access to data. All this without any impact on server resources, to provide the best configuration for datacenter performance.
system to another without impacting access to data. All this without any impact on server resources, to provide the best configuration for datacenter performance.
