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Storage for the Small Clouds

A Contributed Article by Adam Bogobowicz, Sr. Director of Service Provider Product Marketing at Parallels

Service providers delivering infrastructure cloud services today support their infrastructure either on storage area network (SAN) or direct attached storage (DAS) solutions.

Both of these solutions come with significant limitations. The problem with enterprise-class SAN solutions is that they are very expensive, with both up-front and maintenance costs and therefore only relevant in enterprise IaaS scenarios. The disadvantage of DAS in addition to the non-cloudy characteristics is that it leads to a significant waste of disk space and drives costs per GB of storage up, in extreme cases, matching that of SAN solutions.

As the infrastructure cloud matures, the ability to separate storage from the physical systems has become increasingly important. This level of abstraction is now a requirement for delivery of the infrastructure cloud features such as cloud level storage redundancy and storage failover. Because of the high cost of dedicated SAN solutions, infrastructure providers serving the SMB market are left out of the cloud game and need to relay on DAS based non-cloudy solutions.

The right solution for this problem would be a system that allows for separation of storage from the physical system, delivers high performance, is based on existing hardware infrastructure, and eliminates DAS storage utilization inefficiencies.

A block storage solution that meets these requirements, Parallels Cloud Storage, was showcased recently by my company, Parallels, at our annual conference in Las Vegas. You can see my related blog on this at http://blogs.parallels.com/serviceprovider/2013/2/8/the-joys-of-cloud-storage-demoed-at-parallels-summit.html.

This is a distributed cloud solution that separates compute from storage and as a result enables compute units to be re-provisioned on a new physical server if the original physical server (running that compute unit) becomes unavailable. At the same time, with the storage distributed across multiple physical machines, a compute unit is no longer dependent on a single physical machine managing the underlying storage and can run even if one or more of the physical units in the clusters are lost.

To accomplish this, Parallels Cloud Storage automatically chunks, replicates, redistributes and balances storage between all available cluster nodes. You can think about this virtual storage solution as similar to cloud level RAID system with improved placement intelligence and compute unit management. In storing new chunks, Parallels Cloud Storage takes into account both the amount of free disk space and the distribution of the I/O load, in order to ensure high performance. Additionally, when you add new node to a cluster, Parallels Cloud Storage automatically balances existing data across all the nodes.

Parallels Cloud Storage, delivers not only on the key enterprise class cloud features, but does it without the need to purchase and maintain expensive SANs. Implementation of DAS-based cloud storage has a potential of bringing the full power of cloud storage to the SMB market and democratizing that technology across the industry.

Consequences of this new method of storage abstraction however may be even more dramatic in the enterprise space by delivering SAN-like cloud features at a fraction of the SAN cost and allowing for cloud features to be offered in a standard form across all enterprise workloads.

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About the Author

Adam Bogobowicz holds the position of Sr. Director of Service Provider Marketing at Parallels. In this role, he oversees the company's global service provider product marketing function, covering the panel automation and infrastructure technologies and products. Prior to joining Parallels, Adam worked at Microsoft where he designed, and drove virtualization campaigns supporting Microsoft's entry into the virtualization market. Earlier in his career Adam worked in IT organizations where he managed and delivered hosted collaboration services.

Published Wednesday, March 13, 2013 6:45 AM by David Marshall
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