System and method for update of firmware of a storage array controller in a storage area network

• US 8,881,132 B2
• Filed: 03/05/2009
• Issued: 11/04/2014
• Est. Priority Date: 03/05/2009
• Status: Expired due to Fees

• Current Assignee: Hewlett Packard Enterprise Development LP (Hewlett-Packard Enterprise Company)
• Original Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Inventors: Mopur, Satish Kumar, Mehrotra, Vivek, Mukherjee, Saikat, Rao, Satyaprakash, Singh, Sushil Kumar
• Primary Examiner(s): Wong, Don
• Assistant Examiner(s): Aguilera, Todd
• Application Number:
  US12/398,185
• Publication Number:
  US 20100229166A1
• Time in Patent Office: 2,070 Days
• Field of Search: None
• US Class Current: 717/171
• CPC Class Codes: G06F 3/0617 in relation to availability
• CPC Class Codes: G06F 3/0632 by initialisation or re-initialisation of storage systems
• CPC Class Codes: G06F 3/067 Distributed or networked storage systems, e.g. storage area networks [SAN], network attached storage [NAS]
• CPC Class Codes: G06F 8/65 Updates security arrangements therefor G06F21/57

Abstract

A system and method for update of firmware of a storage array controller of a storage device in a storage area network. The I/O workload of the storage device is monitored to obtain workload information regarding I/O traffic of the storage device. The workload information is analyzed to identify patterns in the I/O traffic of the storage device. Based on one or more identified patterns in the I/O traffic, future I/O workload of the storage device is forecasted, and, according to the forecasted future I/O workload, at least one firmware update is scheduled.

Claims

1. A method for update of firmware of a storage controller of a storage device in a storage area network, SAN, comprising:

monitoring an Input/Output, I/O, workload of the storage device to obtain workload information regarding I/O traffic of the storage device;

analyzing the workload information to identify patterns in the I/O traffic of the storage device;

forecasting future I/O workload of the storage device based on one or more identified patterns in the I/O traffic;

based on the forecasted future I/O workload, identifying plural time periods that are suitable for performing a firmware update to update the firmware of the storage controller;

counting a number of workload spikes in each of the plural time periods;

ranking the plural time periods based on respective lengths of the plural time periods and based on the counting of the numbers of workload spikes in the plural time periods, where each of the workload spikes is a workload having a peak value exceeding a predefined threshold, wherein the ranking comprises ranking a first of the plural time periods higher than a second of the plural time periods in response to the counting indicating that the first time period has a smaller number of workload spikes than the second time period; and

scheduling the firmware update in one of the plural time periods selected according to the ranking.

2. The method of claim 1 further comprising:

categorizing the forecasted future I/O workload according to categorization rules, the categorization rules defining categories within which an I/O workload is contained.

3. The method of claim 2 wherein identifying the plural time periods is based on the categorizing.

4. The method of claim 2 further comprising analyzing a physical configuration of the storage device to obtain configuration information regarding the physical configuration of the storage device, wherein the categorization rules take into account at least the configuration information.

5. The method of claim 4, wherein the configuration information comprises information relating to at least one of:

a number of physical and virtual disks making up the storage device;

the storage controller of the storage device;

free storage space available; and

a current version of the firmware.

6. The method of claim 1, wherein the workload information comprises information relating to at least one of:

a number of workload spikes in the I/O workload of the storage device;

a duration of a workload spike in the I/O workload of the storage device; and

a date and time of a workload spike.

7. The method of claim 1, wherein the storage device comprises an array of physical or virtual storage disks.

8. The method of claim 7, wherein the storage device comprises an enterprise virtual array storage system.

9. The method of claim 1, wherein the ranking based on the respective lengths is based on respective numbers of safe period blocks in the plural time periods, where each of the safe period blocks is an amount of time during which the firmware can be successfully upgraded, and wherein a given one of the plural time periods is ranked higher than a particular one of the plural time periods if the given time period has a larger number of safe period blocks than the particular time period.

10. A system for update of firmware of a storage device in a storage area network, comprising:

an I/O workload monitoring unit to monitor an I/O workload of the storage device to obtain workload information regarding I/O traffic of the storage device;

a data storage medium to store the workload information; and

at least one processor to;

analyze the workload information to identify patterns in the I/O traffic of the storage device;

forecast future I/O workload of the storage device based on one or more identified patterns in the I/O traffic;

based on the forecasted future I/O workload, identify plural time periods that are suitable for performing a firmware update to update the firmware of the storage device;

count a number of workload spikes in each of the plural time periods;

rank the plural time periods based on respective lengths of the plural time periods and based on the counting of the numbers of workload spikes in the plural time periods, where each of the workload spikes is a workload having a peak value exceeding a predefined threshold, wherein the ranking comprises ranking a first of the plural time periods higher than a second of the plural time periods in response to the counting indicating that the first time period has a smaller number of workload spikes than the second time period; and

schedule the firmware update in one of the plural time periods selected according to the ranking.

11. The system of claim 10, wherein the at least one processor is further to categorize the forecasted future I/O workload according to categorization rules, the categorization rules defining categories within which an I/O workload is contained.

12. The system of claim 10, wherein the workload information comprises information relating to at least one of:

a number of workload spikes in the I/O workload of the storage device;

a duration of a workload spike in the I/O workload of the storage device; and

a date and time of a workload spike.

13. The system of claim 10, further comprising a controller to analyze a physical configuration of the storage device to obtain configuration information regarding the physical configuration of the storage device, wherein the configuration information comprises information relating to at least one of:

a number of physical and virtual disks making up the storage device, a storage controller of the storage device, free storage space available, and a current version of the firmware.

14. The system of claim 10, wherein the storage device comprises an array of physical or virtual storage disks and one or more storage array controllers.

15. The system of claim 10, wherein the ranking based on the respective lengths is based on respective numbers of safe period blocks in the plural time periods, where each of the safe period blocks is an amount of time during which the firmware can be successfully upgraded, and wherein a given one of the plural time periods is ranked higher than a particular one of the plural time periods if the given time period has a larger number of safe period blocks than the particular time period.

16. A non-transitory computer-readable storage medium storing a computer program that when executed by a computer causes the computer to:

monitor an Input/Output, I/O, workload of a storage device to obtain workload information regarding I/O traffic of the storage device;

analyze the workload information to identify patterns in the I/O traffic of the storage device;

forecast future I/O workload of the storage device based on one or more identified patterns in the I/O traffic;

based on the forecasted future I/O workload, identify plural time periods that are suitable for performing a firmware update to update firmware of the storage device;

count a number of workload spikes in each of the plural time periods;

rank the plural time periods based on respective lengths of the plural time periods and based on the counting of the numbers of workload spikes in the plural time periods, where each of the workload spikes is a workload having a peak value exceeding a predefined threshold, wherein the ranking comprises ranking a first of the plural time periods higher than a second of the plural time periods in response to the counting indicating that the first time period has a smaller number of workload spikes than the second time period; and

schedule the firmware update in one of the plural time periods selected according to the ranking.

17. The computer-readable storage medium of claim 16, wherein the ranking based on the respective lengths is based on respective numbers of safe period blocks in the plural time periods, where each of the safe period blocks is an amount of time during which the firmware can be successfully upgraded, and wherein a given one of the plural time periods is ranked higher than a particular one of the plural time periods if the given time period has a larger number of safe period blocks than the particular time period.