PREEMPTIVE EXTRACTION OF DATA FROM LONG LATENCY STORAGE IN A CLOUD COMPUTING ENVIRONMENT

• US 20160173409A1
• Filed: 12/11/2014
• Published: 06/16/2016
• Est. Priority Date: 12/11/2014
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Reznechek, Adam D., Bragstad, Lance, Fork, Michael J., Odden, Mathew R.
• Granted Patent: US 10,057,332 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 5/00 Methods or arrangements for data conversion without changing the order or content of the data handled
• CPC Class Codes: H04L 47/78 Architectures of resource allocation
• CPC Class Codes: H04L 47/83 based on usage prediction
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/1097 for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]

Abstract

A resource utilization mechanism (RUM) preemptively extracts data from long latency storage in a cloud computing environment to economically and quickly provide data that is infrequently accessed by customers. The RUM identifies periods of low resource utilization where capacity can be efficiently utilized, identifies data to be retrieved, and retrieves the data from long latency storage to make it available to the customer. The RUM may notify a customer that the data is available and allow the customer to accept terms of use for the data or opt out of using the data.

Claims

1-9. -9 (canceled)

10. A computer-implemented method executed by at least one processor for preemptively extracting data from long latency storage and placing the preemptively extracted data in low latency storage to provide infrequently accessed data to a customer application, the method comprises:

identifying periods of low utilization of cloud resources where excess capacity can be efficiently utilized;

identifying data to be preemptively retrieved from the long latency storage; and

retrieving the data from the long latency storage and moving it to the low latency storage to make it available to the customer application prior to a request for the data from the customer application.

11. The method of claim 10 wherein the low utilization of cloud resources includes central processor utilization, disk utilization and network utilization.

12. The method of claim 10 wherein identifying periods of low utilization of cloud resources further comprises:

tracking and recording resource usage;

analyzing resource usage; and

predicting periods of low utilization of resources.

13. The method of claim 10 wherein identifying data to be preemptively retrieved from long latency storage further comprises considering data requests from the customer application for future needs.

14. The method of claim 13 further comprising receiving a data pre-order message from a customer application.

15. The method of claim 14 wherein the data pre-order message is manually provided by a user of the customer application.

16. The method of claim 10 wherein identifying data to be preemptively retrieved further comprises analyzing access patterns by the customer application to long latency data

17. The method of claim 10 wherein making the long latency data available to the customer further comprises:

notifying the customer application of availability of the data;

giving the customer application terms of access to the data; and

allowing a user of the customer application to either accept the terms or opt out of using the data.

18. A computer-implemented method executed by at least one processor for preemptively extracting data from long latency storage and placing the preemptively extracted data in low latency storage to provide infrequently accessed data to a customer application comprises:

identifying periods of low utilization of cloud resources where excess capacity can be efficiently utilized by;

tracking and recording resource usage;

analyzing resource usage;

predicting periods of low utilization of resources;

identifying data to be preemptively retrieved from long latency storage by considering data requests from the customer application for future needs;

retrieving the data from long latency storage and making it available to the customer application prior to a request for the data from the customer by;

notifying the customer application of availability of the data;

giving the customer application terms of access to the data; and

allowing a user of the customer application to either accept the terms or opt out of using the data;

wherein the low utilization of cloud resources includes central processor utilization, disk utilization and network utilization.

19. The method of claim 18 wherein considering data requests from the customer application for future needs further comprises receiving a data pre-order message from a customer application that is manually provided by a user of the customer application.

20. The method of claim 18 wherein identifying data to be preemptively retrieved further comprises analyzing customer access patterns to long latency data.