Demand policy-based resource management and allocation system

• US 9,961,017 B2
• Filed: 08/06/2015
• Issued: 05/01/2018
• Est. Priority Date: 08/08/2014
• Status: Active Grant

• Current Assignee: Oracle International Corporation (Oracle Corporation)
• Original Assignee: Oracle International Corporation (Oracle Corporation)
• Inventors: Jacob, Vinod Pathikulangara, Kirsur, Gopal, Jacob, Albin Abraham, Vattakkandy, Muhammad Riyas, Ravindraiah, Kiran Malpati, Kota, Nirguna
• Primary Examiner(s): Jacobs, Lashonda
• Application Number:
  US14/819,815
• Publication Number:
  US 20160043967A1
• Time in Patent Office: 999 Days
• CPC Class Codes: G06F 9/50 Allocation of resources, e.g. of the central processing unit [CPU]
• CPC Class Codes: G06F 9/5027 the resource being a machine, e.g. CPUs, Servers, Terminals
• CPC Class Codes: G06F 9/5033 considering data affinity
• CPC Class Codes: G06F 9/5055 considering software capabilities, i.e. software resources associated or available to the machine
• CPC Class Codes: G06F 9/5072 Grid computing
• CPC Class Codes: H04L 47/828 Allocation of resources per group of connections, e.g. per group of users
• CPC Class Codes: H04L 47/83 based on usage prediction
• CPC Class Codes: H04L 67/1001 for accessing one among a plurality of replicated servers
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/51 Discovery or management thereof, e.g. service location protocol [SLP] or web services
• CPC Class Codes: H04L 67/60 Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources admission control or resource allocation H04L47/70

Abstract

The present disclosure relates generally to improving the management and provisoning of configurable computing resources. Certain techniques are disclosed herein for managing and provisoning the configurable computing resources based on resource policies. One of the techniques includes determining a value indicating a real-time demand for a resource within a resource pool based on an aggregate of request data. The aggregate of the request data is obtained from any number of previously received orders for services that included the resource as at least a part of enabling the service. The technique may also include generating or updating one or more demand policies for allocation of the resource based on the determined value indicating the real-time demand for the resource, pre-creating the resource based on the one or more demand policies, and allocating the pre-created resource to one or more users based on the one or more demand policies.

Claims

1. A method comprising:

receiving, by a computing system, an order by a user for a service, wherein the service is enabled in part by allocation of a resource;

parsing, by the computing system, the order to identify request data comprising a requestor, the resource, and a request time;

adding, by the computing system, the request data to an aggregate data structure, wherein the aggregate data structure includes an aggregate of the request data for previously parsed orders;

determining, by the computing system, a value indicating a real-time demand for the resource based on the aggregate data structure;

correlating, by the computing system, the order with at least one other order from the previously parsed orders based on at least one component of the request data being the same between the order and the at least one other order;

identifying, by the computing system, at least one resource set based on the correlating of the order with the at least one other order, wherein the at least one resource set includes the resource from the order and another resource requested from the at least one other order;

generating or updating, by the computing system, one or more demand policies for allocation of the at least one resource set based on the determined value indicating the real-time demand for the resource and the correlation of the order with the at least one other order;

pre-creating, by the computing system, the resource from the order and the another resource requested from the at least one other order based on the one or more demand policies; and

allocating, by the computing system, the pre-created resource and the another resource to one or more users based on the one or more demand policies.

2. The method of claim 1, wherein the parsing comprises building a data structure from the request data that provides a structural representation of the requestor, the resource, and the request time.

3. The method of claim 2, wherein the aggregate data structure comprises the data structure from the parsed order and one or more data structures from the previously parsed orders.

4. The method of claim 1, wherein the value indicating the real-time demand for the resource is determined using a current request volume for the resource obtained from the aggregate of the request data for the previously parsed orders.

5. The method of claim 1, wherein the determining the value indicating the real-time demand comprises determining a percentage of orders that include the resource within a particular time period using the aggregate of the request data for the previously parsed orders.

6. The method of claim 5, wherein the determining the value indicating the real-time demand further comprises correlating the determined percentage of orders to the real-time demand of the resource relative to other resources with a resource pool using the aggregate of the request data for the previously parsed orders.

7. The method of claim 1, wherein the at least one component of the request data includes the requestor.

8. The method of claim 1, further comprising identifying, by the computing system, an additional resource that is regularly requested in addition to the resource and the another resource based on a percentage of the previously parsed orders that include the resource, the another resource, and the additional resource.

9. The method of claim 8, further comprising updating, by the computing system, the identified at least one resource set to include the additional resource.

10. A non-transitory machine readable storage medium having instructions stored thereon that when executed by one or more processors cause the one or more processors to perform a method comprising:

determining a value indicating a real-time demand for a resource within a resource pool based on an aggregate of request data, wherein the aggregate of the request data is obtained from any number of previously received orders for services that included the resource as at least a part of enabling the service;

generating or updating one or more demand policies for allocation of the resource based on the determined value indicating the real-time demand for the resource;

pre-creating the resource based on the one or more demand policies; and

allocating the pre-created resource to one or more users based on the one or more demand policies.

11. The non-transitory machine readable storage medium of claim 10, wherein the value indicating the real-time demand for the resource is determined using a current request volume for the resource obtained from the aggregate of the request data.

12. The non-transitory machine readable storage medium of claim 10, wherein the determining the value indicating the real-time demand comprises determining a percentage of orders that include the resource within a particular time period using the aggregate of the request data for the previously received orders.

13. The non-transitory machine readable storage medium of claim 12, wherein the determining the value indicating the real-time demand further comprises correlating the determined percentage of orders to the real-time demand of the resource relative to other resources with the resource pool using the aggregate of the request data for the previously received orders.

14. The non-transitory machine readable storage medium of claim 10, wherein the method further comprise adding the pre-created resource to the resource pool.

15. The non-transitory machine readable storage medium of claim 10, wherein the method further comprise updating the resource pool to indicate the allocation of the pre-created resource to the one or more users.

16. A system comprising:

one or more processors and non-transitory machine readable storage medium;

program instructions to determine a value indicating a real-time demand for a resource within a resource pool based on an aggregate of request data, wherein the aggregate of the request data is obtained from any number of previously received orders for services that included the resource as at least a part of enabling the services;

program instructions to correlate an order for a service with at least one other order from the previously received orders based on at least one component of the request data being the same between the order and the at least one other order;

program instructions to identify at least one resource set based on the correlating of the order with the at least one other order, wherein the at least one resource set includes the resource from the order and another resource requested from the at least one other order;

program instructions to track utilization of the resource within the resource pool;

program instructions to generate or update one or more demand policies for allocation of resource based on at least one of;

(i) the determined value indicating the real-time demand for the resource, (ii) the at least one resource set that includes the resource, and (iii) the tracked utilization for the resource;

program instructions to at least one of;

(i) pre-create the resource, (ii) add the resource to the resource pool, (iii) clean the resource, based on the one or more demand policies; and

program instructions to allocate the resource and the another resource to one or more users based on the one or more demand policies,

wherein the program instructions are stored on the non-transitory machine readable storage medium for execution by the one or more processors.

17. The system of claim 16, wherein the value indicating the real-time demand for the resource is determined using a current request volume for the resource obtained from the aggregate of the request data for the previously received orders.