End-to-end provisioning of storage clouds
Embodiments discussed in this disclosure provide an integrated provisioning framework that automates the process of provisioning storage resources, end-to-end, for an enterprise storage cloud environment. Such embodiments configure and orchestrate the deployment of a user's workload and, at the same time, provide optimization across a multitude of storage cloud resources. Along these lines, input is received in the form of workload requirements and configuration information for available system resources. Based on the input, a set (at least one) of storage cloud configuration plans is developed that satisfy the workload requirements. A set of scripts is then generated that orchestrate the deployment and configuration of different software and hardware components based on the plans.
1. A computer-implemented method for end-to-end provisioning of storage clouds, comprising:
accessing a set of workload requirements and a set of system resource configurations for a set of hardware and software components associated with a storage cloud;
determining a number and a configuration of each of the available system resources;
generating a set of plans for provisioning the storage cloud to meet the set of workload requirements,
the set of plans describing a configuration of a General Parallel File System (GPFS) cluster associated with the storage cloud,
the set of plans proposing an adjustment based on at least one formulaic calculation accounting for a minimum number of network shared disk (NSD) servers, the formulaic calculation comprising:
i.sum.N Si .greater than or equal to i.sum.M Wi
generating a set of scripts to carry out the set of plans, the set of scripts being configured to orchestrate a deployment and a configuration of the set of hardware and software components;
deploying a final number of NSD servers, wherein the final number of NSD servers equals r .times. M;
mapping each of a set of logical unit numbers (LUNs) to at least two of the NSD servers; and
wherein N is a number of NSD servers, Si is an input/output (I/O) capacity of each NSD server, M is a number of workloads, Wi is an average I/O requirement of a workload “i” and “r” is a redundancy factor.
2. The computer-implemented method of claim 1 , further comprising discovering available resources associated with the storage cloud.
3. The computer-implemented method of claim 1 , the set of configuration plans identifying a size and a type of the logical unit numbers (LUNs) associated with the storage cloud.
4. The computer-implemented method of claim 1 , the set of configuration plans identifying a number and a type of GPFS nodes associated with the storage cloud.
5. A system for end-to-end provisioning of storage clouds, comprising:
a bus;
a processor coupled to the bus; and
a memory medium coupled to the bus, the memory medium comprising instructions to:
access a set of workload requirements and a set of system resource configurations for a set of hardware and software components associated with a storage cloud;
determine a number and a configuration of each of the available system resources;
generate a set of plans for provisioning the storage cloud to meet the set of workload requirements,
the set of plans describing a configuration of a General Parallel File System (GPFS) cluster associated with the storage cloud,
the set of plans proposing an adjustment based on at least one formulaic calculation accounting for a minimum number of network shared disk (NSD) servers, the formulaic calculation comprising:
i.sum.N Si .greater than or equal to i.sum.M Wi
generate a set of scripts to carry out the set of plans, the set of scripts being configured to orchestrate a deployment and a configuration of the set of hardware and software components;
deploy a final number of NSD servers, wherein the final number of NSD servers equals r .times. M;
map each of a set of logical unit numbers (LUNs) to at least two of the NSD servers; and
wherein N is a number of NSD servers, Si is an input/output (I/O) capacity of each NSD server, M is a number of workloads, Wi is an average I/O requirement of a workload “i”, and “r” is a redundancy factor.
6. The system of claim 5 , the memory medium further comprising instructions to discover available resources associated with the storage cloud.
7. The system of claim 5 , the set of configuration plans identifying:
a number, a size, and a type of logical unit numbers (LUNs) associated with the storage cloud; and
a number and a type of GPFS nodes associated with the storage cloud.
8. The system of claim 7 , the set of configuration plans further providing a mapping of LUNs to the network shared disk (NSD) servers.
9. A computer program product for end-to-end provisioning of storage clouds, the computer program product comprising a non-transitory computer readable storage medium, and program instructions stored on the non-transitory computer readable storage medium, to:
access a set of workload requirements and a set of system resource configurations for a set of hardware and software components associated with a storage cloud;
determine a number and a configuration of each of the available system resources;
generate a set of plans for provisioning the storage cloud to meet the set of workload requirements,
the set of plans describing a configuration of a General Parallel File System (GPFS) cluster associated with the storage cloud,
the set of plans proposing an adjustment based on at least one formulaic calculation accounting for a minimum number of network shared disk (NSD) servers, the formulaic calculation comprising:
i.sum.N Si .greater than or equal to i.sum.M Wi
generate a set of scripts to carry out the set of plans, the set of scripts being configured to orchestrate a deployment and a configuration of the set of hardware and software components;
deploy a final number of NSD servers, wherein the final number of NSD servers equals r .times. M;
map each of a set of logical unit numbers (LUNs) to at least two of the final number of NSD servers; and
wherein N is a number of NSD servers, Si is an input/output (I/O) capacity of each NSD server, M is a number of workloads, Wi is an average I/O requirement of a workload “i”, and “r” is a redundancy factor.
10. The computer program product of claim 9 , further comprising program instructions stored on the non-transitory computer readable storage medium to discover available resources associated with the storage cloud.
11. The computer program product of claim 9 , the set of configuration plans identifying:
a size and a type of the logical unit numbers (LUNs) associated with the storage cloud; and
a number and a type of GPFS nodes associated with the storage cloud.
12. A method for deploying a system for end-to-end provisioning of storage clouds, comprising:
providing a computer infrastructure being operable to:
access a set of workload requirements and a set of system resource configurations for a set of hardware and software components associated with a storage cloud;
determine a number and a configuration of each of the available system resources;
generate a set of plans for provisioning the storage cloud to meet the set of workload requirements,
the set of plans describing a configuration of a General Parallel File System (GPFS) cluster associated with the storage cloud,
the set of plans proposing an adjustment based on at least one formulaic calculation accounting for a minimum number of network shared disk (NSD) servers, the formulaic calculation comprising:
i.sum.N Si .greater than or equal to i.sum.M Wi
generate a set of scripts to carry out the set of plans, the set of scripts being configured to orchestrate a deployment and a configuration of the set of hardware and software components;
deploy a final number of NSD servers, wherein the final number of NSD servers equals r .times. M;
map each of a set of logical unit numbers (LUNs) to at least two of the final number of NSD servers; and
wherein N is a number of NSD servers, Si is an input/output (I/O) capacity of each NSD server, M is a number of workloads, Wi is an average I/O requirement of a workload “i”, and “r” is a redundancy factor.
13. The method for deploying a system for end-to-end provisioning of storage clouds of claim 12 , the set of configuration plans identifying a size and a type of the LUNs associated with the storage cloud.
14. The method for deploying a system for end-to-end provisioning of storage clouds of claim 12 , the set of configuration plans identifying a number and a type of GPFS nodes associated with the storage cloud.
15. The method for deploying a system for end-to-end provisioning of storage clouds of claim 12 , the computer infrastructure being further operable to discover available resources associated with the storage cloud.