Combining different resource types

• US 8,973,008 B2
• Filed: 05/10/2005
• Issued: 03/03/2015
• Est. Priority Date: 05/10/2005
• Status: Active Grant

• Current Assignee: Sun Microsystems Incorporated (Oracle Corporation)
• Original Assignee: Oracle America, Inc. (Oracle Corporation)
• Inventors: Czajkowski, Grzegorz J., Skinner, Glenn C., Dayns, Laurent P.
• Primary Examiner(s): Truong, Camquy
• Application Number:
  US11/125,579
• Publication Number:
  US 20060259906A1
• Time in Patent Office: 3,584 Days
• Field of Search: 718/104, 709/226
• US Class Current: 718/104
• CPC Class Codes: G06F 9/5011 the resources being hardware resources other than CPUs, Servers and Terminals
• 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

Combining different resource types into a single logical resource can provide a perspective more suitable for managing a given computer program. Resources of different types that have similar characteristics are combined as a single resource type. Resource management policies are applied against the different resource types via the single combination resource type, wherein on a single computer or applied against a cluster of computers.

Claims

1. A method of managing computer resources, the method comprising:

using a computer to perform;

managing usage of a plurality of measurable, consumable computer resource of different resource types as a single combination resource of a single combination resource type; and

combining a measure of consumption of each of the plurality of resource of different resource types into a single measure of aggregate consumption for the single combination resource of the single combination resource type, wherein the different resource types perform different functions.

2. The method of claim 1, wherein managing comprises applying a resource management policy against a consumption requests for any of the plurality of resource of different resource types.

3. The method of claim 1, wherein said combining comprises charging consumption of each of the plurality of resources of different resource types against the single combination resource.

4. The method of claim 1, wherein the managing comprises defining a resource domain for the single combination resource and applying resource management policies of the resource domain against requests for any of the plurality of resource of different resource types, wherein a resource domain encapsulates a usage policy for a resources.

5. The method of claim 4, wherein said combining comprises charging consumption of any of the plurality of resource of the different resource types against the defined resource domain.

6. The method of claim 1, wherein usage of the single combination resource is managed on a cluster-global scale.

7. The method of claim 6, further comprising managing usage of the single combination resource on a node-local scale in addition to managing it on a cluster-global scale.

8. A non-transitory machine-readable storage medium, storing:

program instructions that are computer-executable to implement a combination resource class that is instantiable to define a combination resource of a combination resource type, wherein the combination resource is a combination of measurable, consumable computer resources of different resource types, and wherein consumption of the combination resource is measured as a single measurement of aggregate consumption for the combination resource, wherein the different resource types perform different functions; and

program instructions that are computer-executable to implement a resource domain class that is instantiable to define methods for associating different types of policies with an instantiated resource domain, wherein a resource domain encapsulates a usage policy for a resource, wherein the policies dictate limits on consumption of a combination resource of the combination resource type by one or more isolates that are bound to the instantiated resource domain, and wherein an isolate is a set of one or more computations that do not share computational state with other computations.

9. The storage medium of claim 8, wherein the resource domain class also defines methods for setting actions to express one or more resource management policies.

10. The storage medium of claim 9, wherein the methods for setting actions include methods for at least one of setting constraint actions, setting notification actions, and setting reservations.

11. The storage medium of claim 8, further storing program instructions that are computer-executable to implement a resource dispenser class that is instantiable to define methods for instantiating a resource dispense for a cluster of nodes and methods for associating an instantiated resource dispenser with an instantiated resource domain.

12. The storage medium of claim 8, wherein instances of the resource domain class further define methods for binding isolates to an instantiated resource domain, wherein an isolate is a set of one or more computations that do not share computational state with other computations.

13. A non-transitory machine-readable storage medium, storing:

a first sequence of instructions that is computer-executable to charge consumption of a resource of a first type of measurable, consumable computer resource against a resource domain; and

a second sequence of instructions that is computer-executable to charge consumption of a resource of a second type of measurable, consumable computer resource against the resource domain;

wherein the resource domain encapsulates a usage policy for a single combination resource of a single combination resource type, wherein the single combination resource comprises the resource of the first type and the resource of the second type, and wherein consumption of the single combination resource is measured as a single measurement of aggregate consumption for the single combination resource, wherein the resource of the first type and the resource of the second type perform different functions.

14. The storage medium of claim 13, wherein the first sequence of instructions and the second sequence of instructions are distinct from sequences of instructions that implement instances of the first and second types of resources.

15. The storage medium of claim 13, wherein the first sequence of instructions comprises:

a first set of one or more instruction instances that is computer-executable to communicate a consume request to a resource dispenser; and

a second set of one or more instruction instances that is computer-executable to express a resource management policy and to apply the expressed resource management policy to instances of the first and second types of resources.

16. The storage medium of claim 13, wherein the first and second sequences of instructions are distributed over different nodes within a cluster of nodes.

17. The storage medium of claim 13, further storing a third sequence of instructions that is computer-executable to aggregate accounting information for the first and second types of resources.

18. An apparatus, comprising:

memory; and

means for managing usage of a plurality of measurable, consumable computer resources of different types as a single combination resource of a single combination resource type,

wherein consumption of the single combination resource is measured as a single measurement of aggregate consumption for the combination resource, wherein the different resource types perform different functions.

19. The apparatus of claim 18, further comprising means for managing usage of resources of the single combination resource type over a cluster of nodes.

20. The apparatus of claim 18, further comprising means for applying one or more resource management policies to instances of the different types of resources by applying them to the single combination resource type.

21. The apparatus of claim 18, further comprising managing usage of the single combination resource type on both a node-local scale and a cluster-global scale.