RESOURCE AWARE PLACEMENT OF APPLICATIONS IN CLUSTERS

• US 20130067267A1
• Filed: 09/09/2011
• Published: 03/14/2013
• Est. Priority Date: 09/09/2011
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Tamhane, Amitabh Prakash, Synytskyy, Mykyta, Koppolu, Lokesh S., Dion, David A., D'Amato, Andrea
• Granted Patent: US 9,026,837 B2
• Time in Patent Office: Days
• US Class Current: 714/4.11
• CPC Class Codes: G06F 11/1482 by means of middleware or OS functionality
• CPC Class Codes: G06F 11/3433 for load management allocation of a server based on load conditions G06F9/505; load rebalancing G06F9/5083; redistributing the load in a network by a load balancer H04L67/1029
• CPC Class Codes: G06F 15/161 Computing infrastructure, e.g. computer clusters, blade chassis or hardware partitioning casings, cabinets, racks or drawers for data centers H05K5/00

Abstract

Placing an application on a node in a cluster. A method includes detecting an unexpected event indicating that an application should be placed on a node in the cluster. Real time information about resource utilization on one or more nodes in the cluster is received. Based on the real time information, a determination of a node to place the application is made. The application is placed on the determined node.

Claims

1. In a distributed computing environment comprising a cluster, the cluster comprising a plurality of nodes, a method of placing an application on a node in the cluster, the method comprising;

detecting an unexpected event indicating that an application should be placed on a node in the cluster;

receiving real time information about resource utilization on one or more nodes in the cluster;

based on the real time information, determining a node to place the application; and

placing the application on the determined node.

2. The method of claim 1, wherein receiving real time information, comprises receiving information from a configurable plug-in.

3. The method of claim 1 wherein determining a node to place the application is performed by a configurable plug-in.

4. The method of claim 1 wherein determining a node to place the application is performed by determining an amount of resources needed by an application and determining at least one of an amount of resources available at the node or potentially available at the node.

5. The method of claim 1 wherein determining a node to place the application is performed based one or more prioritizations.

6. The method of claim 1, wherein the unexpected event comprises one or more of a node failure, an application failure, or a user command.

7. The method of claim 1, wherein nodes in the cluster periodically collect resource information, and wherein receiving real time information about resources comprises receiving the periodically collected information from the nodes.

8. The method of claim 1, wherein nodes in the cluster collect resource information on one or more events.

9. The method of claim 1, wherein receiving real time information is performed based on a query of one or more nodes in the cluster.

10. The method of claim 1, wherein receiving real time information comprises receiving processor and memory configuration and/or utilization for a NUMA system, and wherein placement is based on this information and application requirements with respect NUMA systems.

11. The method of claim 1, wherein determining a node to place the application determines a node with applications that could be displaced to place the application.

12. A computer readable medium comprising computer executable instructions that when executed by one or more processors causes the following to be performed:

detecting at least one of an application failure or a node failure;

as a result of the application failure or node failure, determining that an application should be placed on a node in the cluster;

receiving real time information about resource utilization on one or more nodes in the cluster;

based on the real time information, determining a node to place the application; and

attempting to place the application on the determined node.

13. The computer readable medium of claim 12, wherein receiving real time information, comprises receiving information from a configurable plug-in.

14. The computer readable medium of claim 12, wherein determining a node to place the application is performed by a configurable plug-in.

15. The computer readable medium of claim 12, wherein determining a node to place the application is performed by determining an amount of resources needed by an application and determining at least one of an amount of resources available at the node or potentially available at the node.

16. The computer readable medium of claim 12, wherein nodes in the cluster periodically collect resource information, and wherein receiving real time information about resources comprises receiving the periodically collected information from the nodes.

17. The computer readable medium of claim 12, wherein receiving real time information is performed based on a query of one or more nodes in the cluster.

18. The computer readable medium of claim 12, wherein receiving real time information comprises receiving processor and memory configuration and/or utilization for a NUMA system, and wherein placement is based on this information and application requirements with respect NUMA systems.

19. The computer readable medium of claim 12, wherein determining a node to place the application determines a node with applications that could be displaced to place the application.

20. A distributed computing system, the computing system comprising:

a plurality of computers wherein the computer are organized into a computing cluster;

a resource manager, wherein the resource manager is configured to receive real time information about resource utilization on one or more nodes in the cluster; and

a placement manager, wherein the placement manager is configured to;

detect an unexpected event indicating that an application should be placed on a node in the cluster;

based on the real time information, determine a node to place the application; and

place the application on the determined node.