Application resource usage behavior analysis

1. A method comprising:

injecting shadow input/outputs (shadow IOs) into an IO stack of a host system space of a data storage system, wherein the injecting IOs includes adaptive sampling of application-based use and behavior of Information Technology (IT) resources which is tuned dynamically to fit Quality of Service needs;

removing the shadow IOs from the data storage system at a data storage subsystem of the data storage system; and

using the shadow IOs to determine application behavioral information about the data storage system.

2. The method of claim 1 wherein the shadow IOs comprises application information, original IO header start timestamp and an unique identifier.

3. The method of claim 1 further comprising:

creating correlation mapping between an application and the shadow IO associated resources.

4. The method of claim 1 wherein using the shadow IOs further comprises:

determining application specific behavioral information for a plurality of applications.

5. The method of claim 1 wherein the injecting further comprises:

injecting shadow IOs at a plurality of hosts.

6. The method of claim 1 wherein the injecting further comprises:

injecting shadow IOs for a plurality of applications; and wherein the using the shadow IOs further comprises: determining application specific behavioral information for the plurality of applications.

7. The method of claim 1 wherein the shadow IOs are cloned IOs.

8. An apparatus comprising:

an injecting device to inject shadow input/output (shadow IOs) into an IO stack of a host system space of data storage system, wherein the injecting IOs includes adaptive sampling of application-based use and behavior of Information Technology (IT) resources which is tuned dynamically to fit Quality of Service needs;

a shadow device to remove the shadow IOs from the data storage system at a data storage subsystem of the data storage system; and

an analyzer to analyze the shadow IOs to determine behavioral information about the data storage system.

9. The apparatus of claim 8 wherein the shadow IOs comprises application information, original IO header start timestamp, and a unique identifier.

10. The apparatus of claim 8 further comprising:

a correlation mapping device to create a map between an application and the shadow IO associated resources.

11. The apparatus of claim 8 wherein analyzer device comprises:

a behavior analyzer to determine application specific behavioral information for a plurality of applications.

12. The apparatus of claim 8 further comprises:

a second injecting device to inject shadow input/output (shadow IOs) into a system; wherein the system comprises two hosts; wherein the injecting device is located on a first of the two hosts and the second injecting device is located on a second of the two hosts.

13. The apparatus of claim 8 wherein the injecting devices injects shadow IOs for a plurality of applications; and wherein the analyzer determines application specific behavioral information for the plurality of applications.

14. The apparatus of claim 8 wherein the shadow IOs are cloned IOs.

15. A system comprising:

a computer having a memory;

computer-executable program code operating in memory, wherein the computer-executable program code is configured for execution of the following:

injecting shadow input/outputs (shadow IOs) into an IO stack of a host system space of a data storage system, wherein the shadow IOs comprises application information, original IO header start timestamp, and an unique identifier and wherein the injecting IOs includes adaptive sampling of application-based use and behavior of Information Technology (IT) resources which is tuned dynamically to fit Quality of Service needs;

removing the shadow IOs from the data storage system at a data storage subsystem of the data storage system; and

using the shadow IOs to determine application behavioral information about the data storage system.

16. The system of claim 15 wherein the program code is further configured for:

creating correlation mapping between an application and the shadow IO.

17. The system of claim 15 wherein the program code is:

further configured wherein the analyzing the stored shadow IOs further comprises:

determining application specific behavioral information for a plurality of applications.

18. The system of claim 15 wherein the program code is:

further configured wherein the injecting further comprises:

injecting shadow IOs at a plurality of hosts.

19. The system of claim 15 wherein the program code is further configured wherein the injecting further comprises:

injecting shadow IOs for a plurality of applications: and therein the analyzing the stored shadow IOs further comprises:

determining application specific behavioral information for the plurality of applications.

20. The system of claim 15 wherein the shadow IOs are cloned IOs.