Waiting on IO: The Straw That Broke Virtualization’s Back
Expert advice on the right infrastructure for your databases
Despite the increasing horsepower of modern multi-core processors and the promise of virtualization, we’re seeing relatively little progress in the amount of concurrent work they accomplish. That’s why we are having to buy a lot more virtualized servers than we expected.
On closer examination, we find the root cause to be IO-starved virtual machines (VMs), especially for heavy online transactional processing (OLTP) apps, databases and mainstream IO-intensive workloads. Plenty of compute power is at their disposal, but servers have a tough time fielding inputs and outputs. This gives rise to an odd phenomenon of stalled virtualized apps while many processor cores remain idle.
Download this paper to learn:
- How to increase IO rate to keep up with the computational appetite while shaving costs?
- The parallel IO technology designed to process IO across many cores simultaneously, thereby putting those idle CPUs to work
- Discuss DataCore’s underlying parallel architecture
- How parallel IO results in a markedly different way to address the craving for IOPS (input/output operations per second) in a software-defined world.
(PDF | 6 Pages | 600 KB)
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