Policy-based scaling of computing resources in a networked computing environment
Embodiments of the present invention provide an approach for policy-driven (e.g., price-sensitive) scaling of computing resources in a networked computing environment (e.g., a cloud computing environment). In a typical embodiment, a workload request for a customer will be received and a set of computing resources available to process the workload request will be identified. It will then be determined whether the set of computing resources are sufficient to process the workload request. If the set of computing resources are under-allocated (or are over-allocated), a resource scaling policy may be accessed. The set of computing resources may then be scaled based on the resource scaling policy, so that the workload request can be efficiently processed while maintaining compliance with the resource scaling policy.
1. A computer-implemented method for scaling computing resources in a networked computing environment, comprising:
identifying a pool of computing resources available in the networked computing environment to process a workload request, wherein the pool of computer resources includes a pool of storage units;
detecting a need to scale the pool of computing resources based on a comparison of the pool of computing resources to a level of computing resources needed to process a workload request;
identifying a pricing constraint; and
scaling the set of computing resources to process the workload request based on the level of computing resources needed and the pricing constraint, wherein the scaling comprises:
determining that replacing the pool of storage units with a single storage unit larger than any of the storage units in the pool will not exceed the pricing constraint;
de-provisioning the pool of storage units; and
replacing the pool of storage units with the single storage unit larger than any of the storage units in the pool.
2. The computer-implemented method of claim 1 , further comprising determining the level of computing resources needed to process the workload request.
3. The computer-implemented method of claim 1 , further comprising receiving the workload request for a customer.
4. The computer-implemented method of claim 3 , the scaling further comprising provisioning additional computing resources to the pool of computing resources based on the level of computing resources needed without exceeding the pricing constraint.
5. The computer-implemented method of claim 1 , further comprising migrating data among the scaled set of computing resources.
6. The computer-implemented method of claim 1 , the networked computing environment comprising a cloud computing environment.
7. The method of claim 1 , wherein a service solution provider provides a computer infrastructure that performs the method for one or more consumers.
8. A system for scaling computing resources in a networked computing environment, comprising:
a memory medium comprising instructions;
a bus coupled to the memory medium; and
a processor coupled to the bus that when executing the instructions causes the system to:
identifying a pool of computing resources available in the networked computing environment to process a workload request, wherein the pool of computer resources includes a pool of storage units;
detecting a need to scale the pool of computing resources based on a comparison of the pool of computing resources to a level of computing resources needed to process a workload request;
identifying a pricing constraint; and
scaling the set of computing resources to process the workload request based on the level of computing resources needed and the pricing constraint, wherein the scaling comprises:
determining that replacing the pool of storage units with a single storage unit larger than any of the storage units in the pool will not exceed the pricing constraint;
de-provisioning the pool of storage units; and
replacing the pool of storage units with the single storage unit larger than any of the storage units in the pool.
9. The system of claim 8 , the memory medium further comprising instructions for causing the system to determine the level of computing resources needed to process the workload request.
10. The system of claim 8 , the memory medium further comprising instructions for receiving the workload request for a customer.
11. The system of claim 10 , the memory medium further comprising instructions for causing the system to provision additional computing resources to the pool of computing resources based on the level of computing resources needed without exceeding the pricing constraint.
12. The system of claim 8 , the memory medium further comprising instructions for causing the system to migrate data among the scaled set of computing resources.
13. The system of claim 8 , the networked computing environment comprising a cloud computing environment.
14. A computer program product for scaling computing resources in a networked computing environment, the computer program product comprising a computer readable hardware storage device and program instructions stored on the computer readable storage media, to:
identifying a pool of computing resources available in the networked computing environment to process a workload request, wherein the pool of computer resources includes a pool of storage units;
detecting a need to scale the pool of computing resources based on a comparison of the pool of computing resources to a level of computing resources needed to process a workload request;
identifying a pricing constraint; and
scaling the set of computing resources to process the workload request based on the level of computing resources needed and the pricing constraint, wherein the scaling comprises:
determining that replacing the pool of storage units with a single storage unit larger than any of the storage units in the pool will not exceed the pricing constraint;
de-provisioning the pool of storage units; and
replacing the pool of storage units with the single storage unit larger than any of the storage units in the pool.
15. The computer program product of claim 14 , the computer readable hardware storage device further comprising instructions to determine the level of computing resources needed to process the workload request.
16. The computer program product of claim 14 , the computer readable hardware storage device further comprising instructions to receive the workload request for a customer.
17. The computer program product of claim 14 , the computer readable hardware storage device further comprising instructions to migrate data among the scaled set of computing resources.