WORKLOAD ROUTING BASED ON GREENNESS CONDITIONS

• US 20100037225A1
• Filed: 08/07/2008
• Published: 02/11/2010
• Est. Priority Date: 08/07/2008
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Stern, Edith H., Willner, Barry E., Kaminsky, David L., Doyle, Ronald P.
• Application Number:
  US12/187,518
• Publication Number:
  US 20100037225A1
• Time in Patent Office: Days
• US Class Current: 718/102
• CPC Class Codes: G06F 1/3203 Power management, i.e. event-based initiation of a power-saving mode
• CPC Class Codes: G06F 9/505 considering the load
• CPC Class Codes: G06F 9/5094 where the allocation takes into account power or heat criteria power management in computers in general G06F1/3203; thermal management in computers in general G06F1/206
• CPC Class Codes: H04L 67/52 specially adapted for the location of the user terminal
• CPC Class Codes: Y02D 10/00 Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

Workload requests are routed in response to server greenness conditions. A workload request is received for a remotely invocable computing service executing separately in different remotely and geographically dispersed host computing servers. Greenness conditions pertaining to production or conservation of energy based upon external factors for each of the different remotely and geographically dispersed host computing servers are determined. The workload request is routed to one of the different remotely and geographically dispersed host computing servers based upon the determined greenness conditions.

Claims

1. A method for routing workload requests according to server greenness conditions, the method comprising:

receiving a workload request for a remotely invocable computing service executing separately in different remotely and geographically dispersed host computing servers;

determining greenness conditions pertaining to production or conservation of energy consumed by each of the host computing servers based upon external factors for each of the different remotely and geographically dispersed host computing servers; and

,

routing the workload request to one of the different remotely and geographically dispersed host computing servers based upon the determined greenness conditions.

2. The method of claim 1, wherein receiving a workload request for a remotely invocable computing service executing separately in different remotely and geographically dispersed host computing servers, comprises receiving a workload request for a remotely invocable Web service executing separately in different remotely and geographically dispersed host computing servers.

3. The method of claim 1, wherein determining greenness conditions pertaining to production or conservation of energy consumed by each of the host computing servers based upon external factors for each of the different remotely and geographically dispersed host computing servers, comprises determining greenness conditions pertaining to production or conservation of energy consumed by each of the host computing servers responsive to an indication of weather conditions for each of the different remotely and geographically dispersed host computing servers.

4. The method of claim 1, wherein determining greenness conditions pertaining to production or conservation of energy consumed by each of the host computing servers based upon external factors for each of the different remotely and geographically dispersed host computing servers, comprises determining greenness conditions pertaining to production or conservation of energy consumed by each of the host computing servers based upon excess power generation capacity for each of the different remotely and geographically dispersed host computing servers.

5. The method of claim 1, wherein determining greenness conditions pertaining to production or conservation of energy consumed by each of the host computing servers based upon external factors for each of the different remotely and geographically dispersed host computing servers, comprises determining greenness conditions pertaining to production or conservation of energy consumed by each of the host computing servers based upon resource type consumed to generate power for each of the different remotely and geographically dispersed host computing servers.

6. The method of claim 1, wherein routing the workload request to one of the different remotely and geographically dispersed host computing servers based upon the determined greenness conditions, comprises routing the workload request to one of the different remotely and geographically dispersed host computing servers based upon a rating computed for the determined greenness conditions.

7. A workload routing data processing system configured for routing workload requests according to server greenness conditions, the system comprising:

a computing platform configured for communicative coupling to a plurality of remotely and geographically dispersed host computing servers over a computer communications network, each of the host computing servers hosting an instance of a remotely invocable service;

a greenness monitor configured to monitor greenness conditions in each of the host computing servers, the greenness conditions pertaining to production or conservation of energy consumed by each of the host computing servers based upon external factors for each of the host computing servers; and

,

a greenness service switch coupled to the greenness monitor and executing as program code in the computing platform, the switch comprising program code enabled to route workload requests for the remotely invocable service to selected ones of the host computing servers based upon the monitored greenness conditions.

8. The system of claim 7, wherein the greenness conditions comprise an indication of weather conditions for each of the host computing servers.

9. The system of claim 7, wherein the greenness conditions comprise excess power generation capacity.

10. The system of claim 7, wherein the greenness conditions comprise excess consumption of energy within a corresponding geographic locale such that an increased computing load in a server within the corresponding geographic locale can contribute to a brownout condition in the corresponding geographic locale.

11. The system of claim 7, wherein the greenness conditions comprise resource type consumed to generate power.

12. A computer program product for routing workload requests according to server greenness conditions, the computer program product comprising:

a computer usable medium having computer usable program code embodied therewith, the computer usable program code comprising;

computer usable program code for receiving a workload request for a remotely invocable computing service executing separately in different remotely and geographically dispersed host computing servers;

computer usable program code for determining greenness conditions pertaining to production or conservation of energy consumed by each of the host computing servers based upon external factors for each of the different remotely and geographically dispersed host computing servers; and

,

computer usable program code for routing the workload request to one of the different remotely and geographically dispersed host computing servers based upon the determined greenness conditions.

13. The computer program product of claim 12, wherein the computer usable program code for receiving a workload request for a remotely invocable computing service executing separately in different remotely and geographically dispersed host computing servers, comprises computer usable program code for receiving a workload request for a remotely invocable Web service executing separately in different remotely and geographically dispersed host computing servers.

14. The computer program product of claim 12, wherein the computer usable program code for determining greenness conditions pertaining to production or conservation of energy consumed by each of the host computing servers based upon external factors for each of the different remotely and geographically dispersed host computing servers, comprises computer usable program code for determining greenness conditions pertaining to production or conservation of energy consumed by each of the host computing servers responsive to an indication of weather conditions for each of the different remotely and geographically dispersed host computing servers.

15. The computer program product of claim 12, wherein the computer usable program code for determining greenness conditions pertaining to production or conservation of energy consumed by each of the host computing servers based upon external factors for each of the different remotely and geographically dispersed host computing servers, comprises computer usable program code for determining greenness conditions pertaining to production or conservation of energy consumed by each of the host computing servers based upon excess power generation capacity for each of the different remotely and geographically dispersed host computing servers.

16. The computer program product of claim 12, wherein the computer usable program code for determining greenness conditions pertaining to production or conservation of energy consumed by each of the host computing servers based upon external factors for each of the different remotely and geographically dispersed host computing servers, comprises computer usable program code for determining greenness conditions pertaining to production or conservation of energy consumed by each of the host computing servers based upon resource type consumed to generate power for each of the different remotely and geographically dispersed host computing servers.

17. The computer program product of claim 12, wherein the computer usable program code for routing the workload request to one of the different remotely and geographically dispersed host computing servers based upon the determined greenness conditions, comprises computer usable program code for routing the workload request to one of the different remotely and geographically dispersed host computing servers based upon a rating computed for the determined greenness conditions.