Managing execution of programs by multiple computing systems

• US 9,621,593 B2
• Filed: 10/30/2015
• Issued: 04/11/2017
• Est. Priority Date: 03/31/2006
• Status: Active Grant

• Current Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Original Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Inventors: Hoole, Quinton R., Paterson-Jones, Roland, Pinkham, Christopher C., Tobler, Benjamin, van Biljon, Willem R., Smit, Gabriel, Brown, Christopher
• Primary Examiner(s): Zhao, Wei
• Application Number:
  US14/928,659
• Publication Number:
  US 20160142254A1
• Time in Patent Office: 529 Days
• CPC Class Codes: G06F 2009/45587 Isolation or security of virtual machine instances
• CPC Class Codes: G06F 2009/45595 Network integration; Enabling network access in virtual machine instances
• CPC Class Codes: G06F 9/45558 Hypervisor-specific management and integration aspects
• CPC Class Codes: H04L 12/1439 time-based
• CPC Class Codes: H04L 12/1442 at network operator level
• CPC Class Codes: H04L 41/0813 characterised by the conditions triggering a change of settings
• CPC Class Codes: H04L 41/22 comprising specially adapted graphical user interfaces [GUI]
• CPC Class Codes: H04L 63/10 for controlling access to devices or network resources
• CPC Class Codes: H04L 63/102 Entity profiles
• CPC Class Codes: H04L 63/20 for managing network security; network security policies in general filtering policies H04L63/0227
• CPC Class Codes: H04L 67/01 Protocols
• 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

Techniques are described for managing the execution of programs on multiple computing systems, such as on virtual machine nodes executing on the computing systems. A program execution service may in some situations provide the multiple computing systems and manage the program execution on behalf of multiple customers or other users, including to select appropriate computing systems to execute one or more instances of a program for a user, such as based in part on configuration information specified by the user. The described techniques may further include managing communications between multiple intercommunicating computing nodes in some situations.

Claims

1. A computer-implemented method comprising:

receiving, by one or more computing systems of a program execution service, one or more requests from a client over a public network, the received one or more requests indicating an operating system to execute within a virtual machine;

selecting, by the one or more computing systems, one or more computing nodes of the program execution service to use for execution of the operating system from computing nodes located in a first geographical location, wherein the program execution service includes computing nodes located in a plurality of geographical locations; and

causing, by the one or more computer systems, the one or more computing nodes to execute one or more instances of the operating system within one or more virtual machines.

2. The computer-implemented method of claim 1 wherein the one or more computing systems expose an interface that includes a graphical user interface, and wherein the one or more requests are received via the graphical user interface.

3. The computer-implemented method of claim 1 wherein the one or more computing systems expose an interface that includes an API (“

application programming interface”

), and wherein the receiving of the one or more requests are based on an invocation of the API by a remote computing system of the client.

4. The computer-implemented method of claim 1 wherein the one or more requests include configuration information that specifies a number of computing nodes of the program execution service to use for execution of the one or more virtual machines, and wherein the selecting is based at least in part on the configuration information.

5. The computer-implemented method of claim 1 wherein the one or more requests include configuration information that specifies a number of instances of the operating system to execute, and wherein the causing of the one or more computing nodes to execute the one or more instances of the operating system includes causing the one or more computing nodes to execute the specified number of instances of the operating system within an equal number of virtual machines.

6. The computer-implemented method of claim 1 wherein at least two geographical locations of the plurality are discrete data centers.

7. The computer-implemented method of claim 1 wherein the selecting of the one or more computing nodes further comprises randomly selecting one or more computing nodes from a set of candidate computing nodes.

8. The computer-implemented method of claim 1 wherein the one or more requests include an indication of a geographical location of the plurality from which to select the one or more computing nodes.

9. The computer-implemented method of claim 1 wherein the one or more requests include an indication of one or more criteria related to one or more computing-related resources to be used for executing the operating system.

10. The computer-implemented method of claim 9 wherein the indication indicates at least one of an amount of memory, an amount of processor usage, an amount of network bandwidth, an amount of disk space, or an amount of swap space.

11. The computer-implemented method of claim 9 wherein the indication indicates one or more amounts of computing-related resources to assign to the one or more virtual machines.

12. The computer-implemented method of claim 9 further comprising receiving, by one or more computing systems, a copy of the operating system from the client,

and wherein the causing of the one or more computing nodes to execute the one or more instances of the operating system includes causing the one or more computing nodes to use the copy of the operating system received from the client to execute the one or more instances.

13. The computer-implemented method of claim 1 wherein the one or more requests identify a user account, and wherein the method further comprises determining that the user account is authorized to execute the operating system.

14. The computer-implemented method of claim 1 further comprising generating, by the one or more computer systems, fee information for the execution of the one or more instances of the operating system, the fee information being based at least in part on an amount of time the one or more virtual machines are executed by the one or more computing nodes.

15. A non-transitory computer-readable medium having stored contents that cause a computing system to:

receive, via an interface of a program execution service, a request to run one or more instances of an image including a program within one or more virtual machines, the request including configuration information related to running the one or more instances;

select one or more computing nodes of the program execution service to host one or more virtual machines to run the one or more instances of the image, the selecting of the one or more computing nodes being based at least in part on the configuration information; and

manage operation of the one or more computing nodes selected to run the one or more virtual machines.

16. The non-transitory computer-readable medium of claim 15 wherein the interface includes a graphical user, and wherein the receiving of the request occurs via one or more interactions of a client of the program execution service with the graphical user interface.

17. The non-transitory computer-readable medium of claim 15 wherein the interface includes an API (“

application programming interface”

), and wherein the receiving of the request is based on an invocation of the API by a remote computing system.

18. The non-transitory computer-readable medium of claim 15 wherein the configuration information indicates one or more geographical locations to execute the one or more instances of the image, and wherein the selecting of the one or more computing nodes is based on the one or more geographical locations.

19. The non-transitory computer-readable medium of claim 15 wherein the configuration information specifies a number of instances of the image to run, and wherein the selecting of the one or more computing nodes is based on the number of instances.

20. The non-transitory computer-readable medium of claim 15 wherein the configuration information specifies one or more times at which to start running or to terminate the one or more instances of the image, and wherein the managing of the operation is based on the one or more times.

21. The non-transitory computer-readable medium of claim 15 wherein the configuration information specifies one or more criteria related to one or more computing-related resources to be used for the running of the one or more instances of the image, the specified criteria relating to an amount of memory, an amount of processor usage, an amount of network bandwidth, an amount of disk space, or an amount of swap space, and wherein the selecting of the one or more computing nodes is based on the one or more criteria.

22. The non-transitory computer-readable medium of claim 15 wherein the stored contents include software instructions that, when executed, further cause the computing system to determine a fee for running the one or more instances of the image, the determined fee being based at least in part on an amount of time the one or more instances were run.

23. A system, comprising:

one or more computing systems having one or more processors; and

at least one memory including instructions that, upon execution by at least one of the one or more processors, cause the system to;

receive, via an interface provided for use in configuring execution of programs by a program execution service, a request from a client that includes configuration information related to executing an indicated program;

select one or more computing nodes of the program execution service to use for execution of the indicated program; and

manage, based at least in part on the received configuration information, execution of one or more instances of the indicated program by the selected one or more computing nodes on behalf of the client.

24. The system of claim 23 wherein the provided interface includes an API (“

application programming interface”

), and wherein the receiving of the request is based on an invocation of the API by a remote computing system of the client.

25. The system of claim 23 wherein the configuration information indicates a geographical location of a plurality of geographical locations in which to execute one or more instances of the indicated program.

26. The system of claim 23 wherein the configuration information indicates a request to execute one or more instances of the indicated program on one or more computing nodes that are proximate to each other.

27. The system of claim 23 wherein the configuration information specifies one or more criteria related to one or more computing-related resources to be used for executing the indicated program, the specified criteria including at least one of an amount of memory, an amount of processor usage, an amount of network bandwidth, an amount of disk space, or an amount of swap space.

28. The system of claim 23 wherein the managing of the execution includes initiating executing of the one or more instances of the indicated program by the selected one or more computing nodes at a first time, and wherein the at least one memory further includes instructions that, upon execution, cause the system to:

receive, via the provided interface at a second time that is later than the first time, additional configuration information from the client, the additional configuration information specifying one or more modifications related to executing at least one instance of the one or more instances; and

responsive to receiving the additional configuration information, dynamically modify the execution of the at least one instance.