Systems and methods for storage modeling and costing
View Patent ↗The present invention provides systems and methods for data storage. A hierarchical storage management architecture is presented to facilitate data management. The disclosed system provides methods for evaluating the state of stored data relative to enterprise needs by using weighted parameters that may be user defined. Also disclosed are systems and methods evaluating costing and risk management associated with stored data.
1. A method, performed by at least one computing device having a processor and memory, to predict storage use in a computer network, the method comprising:
directing with a first storage component, a second storage component to copy at least a portion of primary data stored on at least a first storage resource to secondary data stored on at least a second storage resource, wherein the first and second storage components are arranged in a hierarchy, and wherein the second storage component identifies the second storage resource with a first identifier;
sending from the second storage component to the first storage component at least the first identifier associated with the second storage resource;
directing with a first storage component, a third storage component to monitor usage data associated with the second storage resource during a time period, wherein the first and third storage components are arranged in a hierarchy, and wherein the third storage component identifies the second storage resource with a second identifier;
sending from the third storage component to the first storage component, the second identifier associated with the second storage resource, and the usage data associated with the second storage resource;
determining with the first storage component that the first identifier and the second identifier are associated with the second storage resource based on network data;
predicting, with computer hardware comprising one or more computer processors, future use of the second storage resource based on the usage data; and
directing the second storage component to copy at least a portion of the secondary data stored on the second storage resource to a third storage resource based on predicting the future use of the second storage resource.
2. The method of claim 1 further comprising calculating a storage cost for the second storage resource based on the usage data.
3. The method of claim 1 further comprising apportioning a storage cost the second storage resource among a plurality of departments based on the usage data.
4. The method of claim 1 wherein predicting the future use of the second storage resource comprises calculating a moving average of a certain network operation during the time period.
5. The method of claim 1 wherein predicting the future use of the second storage resource comprises calculating a moving average.
6. The method of claim 1 wherein predicting the future use of the second storage resource comprises calculating a seasonal index.
7. The method of claim 1 wherein predicting the future use of the second storage resource comprises calculating a average index for each day in the time period.
8. The method of claim 1 wherein predicting the future use of the second storage resource comprises performing a linear interpolation on a moving average.
9. The method of claim 1 the second storage resource is identified with a first name by the second storage component, and identified with second name by the third storage component that is different than the first name.
10. The method of claim 1 wherein determining that the first identifier and the second identifier are associated with the second storage resource is based on network identifiers.
11. A system configured to predict storage use in a computer network, the system comprising:
a first storage component comprising computer hardware, the first storage component configured to direct a second storage component to copy at least a portion of primary data stored on at least a first storage resource to secondary data stored on at least a second storage resource, wherein the first and second storage components are arranged in a hierarchy, and wherein the second storage component identifies the second storage resource with a first identifier;
wherein the second storage component configured to send to the first storage component, at least the first identifier associated with the second storage resource;
wherein the first storage component configured to direct a third storage component to monitor usage data associated with the second storage resource during a time period, wherein the first and third storage components are arranged in a hierarchy, and wherein the third storage component identifies the second storage resource with a second identifier;
wherein the third storage component configured to send to the first storage component, the second identifier associated with the second storage resource, and the usage data associated with the second storage resource;
wherein the first storage component is further configured to determine that the first identifier and the second identifier are associated with the second storage resource based on network data;
wherein the first storage component is further configured to predict future use of the second storage resource based on the usage data; and
wherein the first storage component is further configured to direct the second storage component to copy at least a portion of the secondary data stored on the second storage resource to a third storage resource based on predicting the future use of the second storage resource.
12. The system of claim 11 wherein the first storage component is further configured to calculate a storage cost for the second storage resource based on the usage data.
13. The system of claim 11 the first storage component is further configured to apportion a storage cost the second storage resource among a plurality of departments based on the usage data.
14. The system of claim 11 wherein the first storage component is further configured to predict the future use of the second storage resource comprises calculating a moving average of a certain network operation during the time period.
15. The system of claim 11 wherein the first storage component is further configured to predict the future use of the second storage resource based on the calculation of a moving average.
16. The system of claim 11 wherein the first storage component is further configured to predict the future use of the second storage resource based on the calculation a seasonal index.
17. The system of claim 11 wherein the first storage component is further configured to predict the future use of the second storage resource based on the calculation of a average index for each day in the time period.
18. The system of claim 11 wherein the second storage component identifies the second storage resource with a first name, and the third storage component identifies the second storage resource with a second name that is different than the first name.
19. The system of claim 11 wherein the first storage component is further configured to determine that the first identifier and the second identifier are associated with the second storage resource based on network identifiers.