System and method for providing advanced reservations in a compute environment

• US 9,886,322 B2
• Filed: 09/02/2015
• Issued: 02/06/2018
• Est. Priority Date: 03/13/2004
• Status: Active Grant

• Current Assignee: III Holdings 12, LLC (Intellectual Ventures LLC)
• Original Assignee: III Holdings 12, LLC (Intellectual Ventures LLC)
• Inventors: Jackson, David Brian
• Primary Examiner(s): Teets, Bradley
• Application Number:
  US14/842,916
• Publication Number:
  US 20150378789A1
• Time in Patent Office: 888 Days
• Field of Search: None
• CPC Class Codes: G06F 2209/5013 Request control
• CPC Class Codes: G06F 2209/5014 Reservation
• CPC Class Codes: G06F 2209/5021 Priority
• CPC Class Codes: G06F 2209/506 Constraint
• CPC Class Codes: G06F 2209/508 Monitor
• CPC Class Codes: G06F 9/5027 the resource being a machine, e.g. CPUs, Servers, Terminals
• CPC Class Codes: G06F 9/5038 considering the execution order of a plurality of tasks, e.g. taking priority or time dependency constraints into consideration scheduling strategies G06F9/4881 and subgroups
• CPC Class Codes: G06F 9/5061 Partitioning or combining of resources
• CPC Class Codes: G06F 9/5072 Grid computing
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes
• CPC Class Codes: H04L 41/00 Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks

Abstract

A system and method are disclosed for dynamically reserving resources within a cluster environment. The method embodiment of the invention comprises receiving a request for resources in the cluster environment, monitoring events after receiving the request for resources and based on the monitored events, dynamically modifying at least one of the request for resources and the cluster environment.

Claims

1. A method comprising:

reserving resources in a compute environment under a reservation mask comprising a non-consumption reservation of resources defined by compute resources and a window of time, wherein the compute environment comprises a plurality of network nodes and wherein the compute resources and the window of time define where and when consumption reservations may be made;

receiving a personal reservation for the use of the compute resources within the window of time;

providing access to the compute resources for the personal reservation to process a workload;

monitoring events associated with the workload consuming the compute resources to yield a monitored event;

based on the monitored event and after the workload begins to consume the compute resources, dynamically modifying the reservation mask to establish a second reservation mask such that the workload, before completing, consumes different resources than would have been consumed under the reservation mask, wherein if a received consumption workload associated with the personal reservation will exceed the window of time for the reservation mask, then the method comprises canceling and locking out the personal reservation from access to the reserved resources; and

optimizing use of resources within the personal reservation to meet needs and preferences of jobs submitted under the personal reservation.

2. The method of claim 1, wherein the reservation mask and the second reservation mask are associated with one of consumption resources, provisioning resources, direct volume access, and batch workload processing.

3. The method of claim 1, wherein the reservation mask and the second reservation mask establish a virtual private cluster.

4. The method of claim 1, wherein monitoring events further comprises monitoring the compute environment via a common administrative control.

5. The method of claim 1, wherein monitoring events further comprises monitoring to determine if a party has submitted the workload for processing under the reservation mask.

6. The method of claim 5, wherein if the party has not submitted the workload for processing after a predetermined amount of time, then dynamically modifying the reservation mask further comprises canceling the reservation mask.

7. The method of claim 6, wherein the workload comprises one of a reservation, an object that monitors policy, an object that monitors credentials, an object that monitors node states via a common administrative control and an object that monitors the compute environment via the common administrative control.

8. The method of claim 7, wherein modifying the compute environment based on the monitored events further comprises dynamically modifying the compute environment to satisfy a request for resources associated with the reservation mask.

9. The method of claim 8, wherein dynamically modifying the compute environment further comprises one of:

modifying a node, modifying an operating system, installing end user applications, dynamically partitioning node resources and adjusting network configuration.

10. The method of claim 1, wherein monitoring events further comprises monitoring resources associated with the reservation mask.

11. The method of claim 1, wherein monitoring events further comprises monitoring the workload submitted.

12. The method of claim 11, wherein if the workload submitted within the reservation mask will extend beyond the reservation mask, the method further comprises canceling the workload.

13. The method of claim 12, wherein prior to canceling the workload, the method further comprises presenting an option of extending the reservation mask to accommodate the workload.

14. The method of claim 13, wherein the option of extending the reservation mask to accommodate the workload is subject to pre-established policies.

15. The method of claim 14, further comprising presenting an option of extending the reservation mask and a pricing option to extend the reservation mask.

16. The method of claim 1, wherein the personal reservation is one of a non-administrator reservation and an administrator reservation.

17. The method of claim 1, wherein the reservation mask for a window of time is a request for resources for a periodic window of time.

18. A system comprising:

a processor; and

a computer-readable medium storing instructions which, when executed by the processor, control the processor to perform operations comprising;

reserving resources in a compute environment under a reservation mask comprising a non-consumption reservation of resources defined by compute resources and a window of time, wherein the compute environment comprises a plurality of network nodes and wherein the compute resources and the window of time define where and when consumption reservations may be made;

receiving a personal reservation for the use of the compute resources within the window of time;

providing access to the compute resources for the personal reservation to process a workload;

monitoring events associated with the workload consuming the compute resources to yield a monitored event;

based on the monitored event and after the workload begins to consume the compute resources, dynamically modifying the reservation mask to establish a second reservation mask such that the workload, before completing, consumes different resources than would have been consumed under the reservation mask, wherein if a received consumption workload associated with the personal reservation will exceed the window of time for the reservation mask, then the method comprises canceling and locking out the personal reservation from access to the reserved resources; and

optimizing use of resources within the personal reservation to meet needs and preferences of jobs submitted under the personal reservation.