Method to apply perturbation for resource bottleneck detection and capacity planning

1. A method of detecting resource bottleneck of a software entity, comprising:

identifying a resource type from multiple resource types in a system that is used while executing the software entity;

intentionally inducing perturbation from multiple perturbations that vary the supply amount of the resource type in the system;

measuring performance of the software entity at multiple variation levels of the supply amount of the resource type in the system; modeling a relationship between the measured performance and the variation levels; and

applying the model to detect the resource bottleneck,

wherein the perturbation comprises adding a packet delay to a set of outgoing packets in a network and at least one of reducing a processor speed, disabling one or more cores in a multi-core processor, increasing network latency, setting an input/output scheduling class and priority, controlling input/output bandwidth,

wherein the identifying comprises identifying the multiple resource types, and the intentionally inducing comprises intentionally inducing the multiple perturbations to the multiple resource types simultaneously, wherein the model comprises a multi-dimensional model that incorporates the multiple resource types that are perturbed simultaneously; and

determining a response time of a candidate network without replacing a link in the network by executing the model with a negative extra packet delay, wherein the candidate network is faster than the network;

scaling up the system using information from the detected resource bottleneck.

2. The method of claim 1 , wherein the identifying comprises identifying the multiple resource types, and the intentionally inducing of the perturbation, the measuring of the performance and modeling of the relationship are performed for a single or more than one resource types from the multiple resource types.

3. The method of claim 2 , the applying of the model comprises determining a resource type that has most impact on the performance, the impact measured by comparing variation of the performance with variation of the resource supply amount.

4. The method of claim 1 , further comprising applying the modeled relationship for capacity planning.

5. The method of claim 4 , wherein the applying the modeled relationship for the capacity planning comprises projecting performance change in response to increasing the supply amount of the resource type.

6. The method of claim 4 , wherein the applying the modeled relationship for capacity planning comprises predicting the supply amount of the resource types for a given service-level-agreement.

7. The method of claim 1 , wherein the modeling of the relationship is performed by an interpolation technique which characterizes the relationship by empirically fitting a model.

8. The method of claim 1 , wherein the software entity comprises software applications, virtual machines, or combinations thereof.

9. The method of claim 1 , wherein the intentionally inducing perturbation, comprises at least varying aggregate supply amount of the resource type in the system.