System and method for self-healing of application centric infrastructure fabric memory

• US 10,303,534 B2
• Filed: 07/20/2017
• Issued: 05/28/2019
• Est. Priority Date: 07/20/2017
• Status: Active Grant

• Current Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.)
• Original Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.)
• Inventors: Ganapathy, Sivakumar, Regar, Ram, Patimalla, Navya, Aiyub, Sohayb
• Primary Examiner(s): Iqbal, Nadeem
• Application Number:
  US15/654,906
• Publication Number:
  US 20190026176A1
• Time in Patent Office: 677 Days
• CPC Class Codes: G06F 11/0715 in a system implementing multitasking multitasking per se G06F9/46
• CPC Class Codes: G06F 11/0751 Error or fault detection not based on redundancy power supply failures G06F1/30; network fault management H04L41/06
• CPC Class Codes: G06F 11/0793 Remedial or corrective actions recovery from an exception in an instruction pipeline G06F9/3861; by retry G06F11/1402; for recovering from a failure of a protocol instance or entity H04L69/40
• CPC Class Codes: G06F 11/3648 using additional hardware
• CPC Class Codes: G06F 12/0253 Garbage collection, i.e. reclamation of unreferenced memory
• CPC Class Codes: G06F 12/0269 Incremental or concurrent garbage collection, e.g. in real-time systems G06F12/0261 takes precedence
• CPC Class Codes: G06F 2212/152 Virtualized environment, e.g. logically partitioned system
• CPC Class Codes: G06F 2212/154 Networked environment
• CPC Class Codes: G06F 2212/163 Server or database system
• CPC Class Codes: G06F 9/5022 Mechanisms to release resources
• CPC Class Codes: G06F 9/5077 Logical partitioning of resources; Management or configuration of virtualized resources specific details on emulation or internal functioning of virtual machines G06F9/455

Abstract

Disclosed is a method that includes obtaining a list of processes in an application centric infrastructure fabric, sorting the list of processes according to an amount of memory increase associated with each respective process in the list of processes to yield a sorted list, selecting a group of processes from the sorted list and collecting a respective live process core for each process in the group of processes without pausing or killing any process in the group of processes. The method includes applying an offline leak detection tool to each process in the group of processes to yield a list of leaked memory addresses for a given process of the group of processes and transmitting a message to the given process with the list of leaked memory addresses, whereby the given process calls a function to release leaked memory associated with the given process as identified in the message.

Claims

1. A method comprising:

obtaining a list of processes in an application centric infrastructure fabric;

sorting the list of processes according to an amount of memory increase associated with each respective process in the list of processes to yield a sorted list;

selecting a group of processes from the sorted list;

collecting a respective live process core for each process in the group of processes without pausing or killing any process in the group of processes;

applying a leak detection tool to each process in the group of processes to yield a list of leaked memory addresses for a given process of the group of processes; and

transmitting a message to the given process with the list of leaked memory addresses, whereby the given process calls a function to release leaked memory associated with the given process as identified in the message.

2. The method of claim 1, wherein the list of processes comprises all processes in the application centric infrastructure fabric.

3. The method of claim 1, wherein the list of processes comprises a group of selected processes from all processes within the application centric infrastructure fabric, according to a criteria.

4. The method of claim 1, wherein applying the leak detection tool occurs in a container located in a cloud computing environment.

5. The method of claim 1, further comprising:

transmitting the respective live process core off-line to a container on a same switch for applying the leak detection tool.

6. The method of claim 1, further comprising:

transmitting the respective live process core to a container running in a cloud computing environment for applying the leak detection tool.

7. A system comprising:

at least one processor; and

a computer-readable storage device storing instructions which, when executed by the at least one processor, cause the at least one processor to perform operations comprising;

obtaining a list of processes in an application centric infrastructure fabric;

sorting the list of processes according to an amount of memory increase associated with each respective process in the list of processes to yield a sorted list;

selecting a group of processes from the sorted list;

collecting a respective live process core for each process in the group of processes without pausing or killing any process in the group of processes;

applying a leak detection tool to each process in the group of processes to yield a list of leaked memory addresses for a given process of the group of processes; and

transmitting a message to the given process with the list of leaked memory addresses, whereby the given process calls a function to release leaked memory associated with the given process as identified in the message.

8. The system of claim 7, wherein the list of processes comprises all processes in the application centric infrastructure fabric.

9. The system of claim 7, wherein the list of processes comprises a group of selected processes from all processes within the application centric infrastructure fabric, according to a criteria.

10. The system of claim 7, wherein applying the leak detection tool occurs in a container located in a cloud computing environment.

11. The system of claim 7, wherein the computer-readable storage device stores additional instructions which, when executed by the at least one processor, cause the at least one processor to perform operations further comprising:

transmitting the respective live process core off-line to a container on a same switch for applying the leak detection tool.

12. The system of claim 7, wherein the computer-readable storage device stores additional instructions which, when executed by the at least one processor, cause the at least one processor to perform operations further comprising:

transmitting the respective live process core to a container running in a cloud computing environment for applying the leak detection tool.

13. A non-transitory computer-readable storage device storing instructions which, when executed by at least one processor, cause the at least one processor to perform operations comprising:

obtaining a list of processes in an application centric infrastructure fabric;

sorting the list of processes according to an amount of memory increase associated with each respective process in the list of processes to yield a sorted list;

selecting a group of processes from the sorted list;

collecting a respective live process core for each process in the group of processes without pausing or killing any process in the group of processes;

applying a leak detection tool to each process in the group of processes to yield a list of leaked memory addresses for a given process of the group of processes; and

transmitting a message to the given process with the list of leaked memory addresses, whereby the given process calls a function to release leaked memory associated with the given process as identified in the message.

14. The non-transitory computer-readable storage device of claim 13, wherein the list of processes comprises all processes in the application centric infrastructure fabric.

15. The non-transitory computer-readable storage device of claim 13, wherein the list of processes comprises a group of selected processes from all processes within the application centric infrastructure fabric, according to a criteria.

16. The non-transitory computer-readable storage device of claim 13, wherein applying the leak detection tool occurs in a container located in a cloud computing environment.

17. The non-transitory computer-readable storage device of claim 13, wherein the non-transitory computer-readable storage device stores additional instructions which, when executed by the at least one processor, cause the at least one processor to perform operations further comprising:

transmitting the respective live process core off-line to a container on a same switch for applying the leak detection tool.

18. The non-transitory computer-readable storage device of claim 13, wherein the non-transitory computer-readable storage device stores additional instructions which, when executed by the at least one processor, cause the at least one processor to perform operations further comprising:

transmitting the respective live process core to a container running in a cloud computing environment for applying the leak detection tool.