I/O Bottleneck Leading to Slow Response? Speed It Up with Adaptive Parallel I/O
Top Reasons for Virtualizing Servers:
- Consolidate multiple workloads on a server using its multiple CPUs and large memory
- Isolate applications from hardware changes and failures so they run smoothly
All workloads wait on one serial process for I/O, creating a bottleneck.
- More servers required to spread the I/O load – fewer virtual machines (VMs) per server
- Apps run slower when virtualized
- Expected cost reductions don’t materialize
Hypervisors, operating systems and container virtualization treat I/O serially even though workloads are scheduled to run in parallel across several CPUs.
Talk with a storage expert to learn how DataCore can help save data storage space across your data center infrastructure.