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Cloud Storage Characteristics
From a technology perspective, these requirements translate into a list of features that can be found, to varying degrees, in the more recent product offerings of a number of storage vendors.
Specifically, storage platforms best able to support a private cloud environment would offer the following:
Pooled disks -- Although the traditional storage model of bound raidsets with hard-partitioned LUNs has served us well since the early 90s, that approach is not ideal for the cloud era. To allocate and deallocate storage for the cloud, a pooled model -- either block-based with virtual LUNs or file-based via NFS -- is a quicker and more flexible approach. This virtualized approach to storage also enables important efficiency benefits like thin provisioning and deduplication. In addition, the ability to create large disk pools means that data can be striped across a wide number of disks, resulting in a substantial performance boost.
Auto-tiering -- Supporting multiple performance profiles in an agile and flexible manner cries out for something other than the dedicated, static tiered-storage approach that became the norm at the height of the ILM era. For environments with high IO needs, particularly where solid state technology may be beneficial, the best option may be auto-tiering, where leveraging SSDs at the sub-LUN level to accommodate the hottest blocks promises high value.
Integration into virtualization management frameworks -- Any private cloud is likely to be built around a virtualization platform, and the management console for this platform will likely be the focal point for administering the environment. Storage should not have to be managed as a separate entity from the whole. Therefore, integration of storage administration into the management console for the virtualization platform is important. Realizing this is, of course, a two-way street between virtualization and storage vendors.
Integrated replication and snapshotting -- Replication and snapshot functionality are commonplace in storage systems today. In the cloud, it becomes a required component for both resiliency and location independence. Like other core functions, this should be transparently integrated with the server/virtualization platform.
Modularity, high bandwidth, and scale-out capabilities -- While these are three different attributes, they all contribute significantly to the flexibility and scalability of the cloud. Flexible growth is enhanced expansion enabled by modular devices (as opposed to monolithic frames). The increased bandwidth afforded by technologies like 10Gb Ethernet (and beyond) has a major impact on supporting growth across a range of storage protocols, including iSCSI, NFS and eventually FCoE. Finally, the ability to improve aggregate connectivity through scale-out architectures ensures cloud expandability.
From a technology perspective, these requirements translate into a list of features that can be found, to varying degrees, in the more recent product offerings of a number of storage vendors.
Specifically, storage platforms best able to support a private cloud environment would offer the following:
Pooled disks -- Although the traditional storage model of bound raidsets with hard-partitioned LUNs has served us well since the early 90s, that approach is not ideal for the cloud era. To allocate and deallocate storage for the cloud, a pooled model -- either block-based with virtual LUNs or file-based via NFS -- is a quicker and more flexible approach. This virtualized approach to storage also enables important efficiency benefits like thin provisioning and deduplication. In addition, the ability to create large disk pools means that data can be striped across a wide number of disks, resulting in a substantial performance boost.
Auto-tiering -- Supporting multiple performance profiles in an agile and flexible manner cries out for something other than the dedicated, static tiered-storage approach that became the norm at the height of the ILM era. For environments with high IO needs, particularly where solid state technology may be beneficial, the best option may be auto-tiering, where leveraging SSDs at the sub-LUN level to accommodate the hottest blocks promises high value.
Integration into virtualization management frameworks -- Any private cloud is likely to be built around a virtualization platform, and the management console for this platform will likely be the focal point for administering the environment. Storage should not have to be managed as a separate entity from the whole. Therefore, integration of storage administration into the management console for the virtualization platform is important. Realizing this is, of course, a two-way street between virtualization and storage vendors.
Integrated replication and snapshotting -- Replication and snapshot functionality are commonplace in storage systems today. In the cloud, it becomes a required component for both resiliency and location independence. Like other core functions, this should be transparently integrated with the server/virtualization platform.
Modularity, high bandwidth, and scale-out capabilities -- While these are three different attributes, they all contribute significantly to the flexibility and scalability of the cloud. Flexible growth is enhanced expansion enabled by modular devices (as opposed to monolithic frames). The increased bandwidth afforded by technologies like 10Gb Ethernet (and beyond) has a major impact on supporting growth across a range of storage protocols, including iSCSI, NFS and eventually FCoE. Finally, the ability to improve aggregate connectivity through scale-out architectures ensures cloud expandability.
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