Ten Steps You Shouldn't Take to Make Storage Run Faster

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Input/output (I/O) scheduling is fairly self-explanatory, referring to the concept of the OS using an I/O scheduler to manage the order in which I/O operations are submitted to the storage layer. These are complex algorithms that re-order I/O operations so that the movement of disk heads (known as a “seek”) is reduced. When you direct CPU cycles to “seek time” reduction, the result is a direct hit on performance.

Typically, compromise can be a great thing – certainly a mandate in most relationships, but not in the world of IT, and especially not in the storage space. In IT, compromise always comes at a cost. For years, IT has been inventing and implementing workarounds to cope with the poor performance of storage systems bound by mechanical hard disks. As processor, memory and network speeds have repeatedly doubled over the years, storage media have failed to keep pace, creating unbalanced ecosystems.

Often, these compromises are so ingrained that they have become second nature. No thought is given to the overhead because no alternatives existed. That is, until now, with the proliferation of flash-based storage systems and the trajectory of the all-silicon data center.

Fahima Zahir, product marketing, Violin Memory, has identified the top 10 coping mechanisms found in today’s storage environments that should be avoided.


Related Topics : Fujitsu, Storage Virtualization, Desktop Virtualization, Virtual Tape Library, InfiniBand

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