SCALING COMPUTING CLUSTERS IN A DISTRIBUTED COMPUTING SYSTEM

• US 20140149590A1
• Filed: 11/26/2012
• Published: 05/29/2014
• Est. Priority Date: 11/26/2012
• Status: Active Grant

• Current Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Original Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Inventors: SURNA, ALEKSANDRAS, MALLIPEDDI, VENKATA HARISH
• Granted Patent: US 10,394,611 B2
• Time in Patent Office: Days
• US Class Current: 709/226
• CPC Class Codes: G06F 9/5061 Partitioning or combining of resources
• CPC Class Codes: G06F 9/5088 involving task migration
• 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: Y02D 10/00 Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

A currently operating computing cluster that has multiple nodes storing cluster data may be scaled. A cluster scaling request may be received for the current cluster indicating a change in a number or type of nodes in the current cluster. In response to receiving the cluster scaling request, a new cluster may be created as indicated in the cluster scaling request, a copy of the cluster data from the current cluster to the nodes in the new cluster may be initiated, a network endpoint for the current cluster may be moved to the new cluster, and the current cluster may be disable. The current cluster may, in some embodiments, respond to read access requests during the copy of the cluster data.

Claims

1. A system, comprising:

a plurality of computing devices configured to implement;

a current cluster having a plurality of nodes storing cluster data, wherein the current cluster receives access requests for the cluster data at a network endpoint for the current cluster;

a cluster control interface configured to;

receive a cluster scaling request for the current cluster, wherein said cluster scaling request indicates a change in a number or type of nodes in the current cluster;

in response to receiving the cluster scaling request;

create a new cluster having a plurality of nodes as indicated in the cluster scaling request;

initiate a copy of the cluster data from the current cluster to the plurality of nodes in the new cluster, wherein while the copy is being performed the current cluster continues to respond to read requests for the cluster data;

move the network endpoint for the current cluster to the new cluster; and

disable the current cluster.

2. The system of claim 1, wherein in response to receiving the cluster scaling request, the cluster control interface is further configured to set the current cluster to operate in read-only mode.

3. The system of claim 1, wherein each node of the current cluster stores one or more data slices of the cluster data, and wherein the copy of the cluster data from the current cluster to the plurality of nodes in the new cluster comprises:

for each data slice in the nodes of the current cluster, assign the data slice to one or more data slices in the plurality of nodes in the new cluster according to an assignment scheme;

transfer the cluster data from each data slice in the nodes of the current cluster to the assigned one or more data slices in the plurality of nodes in the new cluster.

4. The system of claim 1, wherein the plurality of computing devices are part of a larger collection of computing devices implementing a network-based cluster hosting service, and wherein each of the nodes of the current cluster of nodes and the plurality of nodes in the new cluster are virtual compute nodes hosted by the network-based cluster hosting service.

5. A method, comprising:

performing, by a plurality of computing devices;

detecting a cluster scaling event for a current cluster having a plurality of nodes storing cluster data, wherein the current cluster receives access requests for the cluster data at a network endpoint for the current cluster;

determining a change in the nodes of the current cluster based on the cluster scaling event;

creating a new cluster having a plurality of nodes as indicated by the change;

initiating a copy of the cluster data from the current cluster to the plurality of nodes in the new cluster, wherein while the copy is being performed the current cluster continues to respond to read requests for the cluster data; and

moving the network endpoint for the current cluster to the new cluster.

6. The method of claim 5, wherein the change is to a different number or type of nodes in the current cluster.

7. The method of claim 6, wherein the change in type of node is a different storage capacity for the node or a different computing capacity for the node.

8. The method of claim 5, wherein the plurality of computing devices are part of a larger collection of computing devices implementing a network-based cluster hosting service, wherein at least one or more of the collection of computing devices implement a cluster control interface for the network-based cluster hosting service, and wherein the method further comprises:

performing, by the cluster control interface for the network-based cluster hosting service on the at least one or more computing devices;

wherein said detecting the cluster scaling event for the current cluster having a plurality of nodes storing cluster data comprises receiving a cluster scaling request for the current cluster, wherein said cluster scaling request indicates the plurality of nodes different in number or in type from the current cluster;

wherein said determining a change in the nodes of the current cluster based on the cluster scaling event comprises determining as the change the plurality of nodes different in number or in type from the current cluster as indicated by the cluster scaling request; and

in response to receiving the cluster scaling request, directing said creating, said initiating, and said moving to be performed.

9. The method of claim 8, further comprising in response to receiving the cluster scaling request, directing, by the control interface, the current cluster to operate in read-only mode.

10. The method of claim 8, wherein each of the nodes of the current cluster of nodes and the plurality of nodes in the new cluster are virtual compute nodes hosted by the network-based cluster hosting service.

11. The method of claim 5, wherein each node comprises one or more data slices for storing cluster data, and wherein the copy comprises sending the cluster data from each data slice in the nodes of the current cluster to one or more data slices in the plurality of nodes in the new cluster according to an assignment scheme.

12. The method of claim 5, wherein each node comprises one or more data slices for storing cluster data, and wherein the method further comprises distributing the cluster data on the data slices on the nodes of the new cluster based on a distribution scheme different from another distribution scheme used to distribute the cluster data on the data slices on the nodes of the current cluster.

13. The method of claim 5, wherein a user sends the access requests before and after the movement of the network endpoint to a same network address.

14. The method of claim 5, further comprising:

wherein the current cluster stores replicated cluster data in addition to the cluster data;

wherein said copy of the cluster data from the current cluster to the plurality of nodes in the new cluster is performed without sending the replicated cluster data from the current cluster to the new cluster;

in response to the completion of the copy, replicating the cluster data among the plurality of nodes in the new cluster.

15. The method of claim 5, further comprising in response to the completion of said copy and said moving, terminating the current cluster.

16. A non-transitory, computer-readable storage medium, storing program instructions that when executed by a plurality of computing devices cause the plurality of computing devices to implement:

detecting a cluster scaling event for a current cluster having a plurality of nodes storing cluster data, wherein the current cluster receives access requests for the cluster data at a network endpoint for the current cluster;

in response to detecting the cluster scaling event;

directing the current cluster to operate in read-only mode;

determining a change in the nodes of the current cluster based on the cluster scaling event;

creating a new cluster having a plurality of nodes as indicated by the change;

initiating a copy of the cluster data from the current cluster to the plurality of nodes in the new cluster; and

moving the network endpoint for the current cluster to the new cluster.

17. The non-transitory, computer-readable storage medium of claim 16, wherein the program instructions when executed by the plurality of computing devices further cause the plurality of computing devices to implement in response to the completion of said copy and said moving, terminating the current cluster.

18. The non-transitory, computer-readable storage medium of claim 16, wherein the current cluster and the new cluster are data processing clusters for a distributed data warehouse system.

19. The non-transitory, computer-readable storage medium of claim 18, wherein the cluster data comprises a database schema for the current cluster.

20. The non-transitory, computer-readable storage medium of claim 16, wherein the change is to a node with greater storage capacity than the nodes of the current cluster.