NEGOTIATION OF POWER RATES BASED ON DYNAMIC WORKLOAD DISTRIBUTION

• US 20100057625A1
• Filed: 09/03/2008
• Published: 03/04/2010
• Est. Priority Date: 09/03/2008
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Boss, Gregory J., Hamilton, Rick A. II, Sand, Anne R., Doran, James R.
• Application Number:
  US12/203,366
• Publication Number:
  US 20100057625A1
• Time in Patent Office: Days
• US Class Current: 705/80
• CPC Class Codes: G06Q 30/0206 Price or cost determination based on market factors
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions
• CPC Class Codes: G06Q 30/08 Auctions
• CPC Class Codes: G06Q 50/188 Electronic negotiation

Abstract

A consumer initiated automated and dynamic negotiation enables the consumer to obtain more beneficial rates and/or other terms between the consumer and one or more energy providers. The negotiation is based on anticipated computational processing requirements of the consumer, and the current energy costs being offered by each provider. Other elements such as the ability of the provider to timely supply the energy and the differential between the costs of traditional and green energy may also be factored in. The results of the negotiation can produce a shifting of all or part of the workload to another provider or an alternative geographical location to capitalize on lower power rates or conditions of delivery. The negotiation may be based on an auction between more than one competing energy supplier.

Claims

1. A method for a power consumer to initiate and negotiate a price with an energy provider for the consumer'"'"'s future compute workload requirements, comprising the steps of:

estimating the customer'"'"'s future compute workload power requirements;

obtaining current power rates of eligible energy providers;

calculating cost of transferring from one energy provider to another;

determining a target price for the workload requirements; and

selecting an energy provider based upon its abilities to meet the target price.

2. The method according to claim 1 further including a step of determining the amount of the workload to redistribute based upon the consumer'"'"'s requirements, current rates of eligible energy providers, and redistribution costs.

3. The method according to claim 2 further including the step of providing an opportunity for a current energy provider to adjust its energy costs to the consumer in response to the consumer'"'"'s determined target price.

4. The method according to claim 1 further including the step, prior to selecting the energy provider, of initiating an auction between two more energy providers to meet the energy requirements of the consumer based upon the target price.

5. The method according to claim 1 further including the step of awarding a contract for future energy requirements to a low bidder.

6. A system for a power consumer to automatically negotiate a price with an energy provider for computer workload requirements comprising;

a calculation of the estimated future compute workload power requirements;

a schedule of current rates of eligible energy providers;

a calculation representing the cost of transferring from one energy provider to another; and

a target price based upon at least these three factors for the workload requirements.

7. The system according to claim 6 further including a step of determining the amount of the workload to redistribute based upon the consumer'"'"'s requirements, current rates of eligible providers, and redistribution costs.

8. The system according to claim 7 further including the provision of an opportunity for a current energy provider to adjust its energy costs to the consumer.

9. The system according to claim 7 further including an auction between two more energy suppliers to meet the energy requirements of the consumer based upon the target price.

10. The system according to claim 6 further including a contract for awarding a customer'"'"'s future energy requirements to a low bidder.

11. A computer-readable medium containing instructions, when implemented on a computer, for automatically negotiating with an energy supplier based upon a prospective power consumption of at least one computer processing system by a method comprising:

estimating the future compute workload power requirements of a consumer;

obtaining current rates of eligible energy providers;

calculating cost of transferring from one provider to another; and

determining a target price for the workload requirements.

12. The computer-readable medium containing instructions according to claim 11 further including a step of determining the amount of the workload to redistribute based upon the consumer'"'"'s requirements, current rates of eligible energy providers, and redistribution costs.

13. The computer-readable medium containing instructions according to claim 12 further including the step of providing an opportunity for a current energy provider to adjust its energy costs to the consumer.

14. The computer-readable medium containing instructions according to claim 12 further including the step of initiating an auction between two more energy providers to meet the energy requirements of the consumer based upon the target price.

15. The computer-readable medium containing instructions according to claim 14 further including the step of awarding a contract for future energy requirements to a low bidder.

16. A program product including a medium on which a computer program is recorded, said computer program including:

a first set of instructions for obtaining competitive cost data from energy providers;

a second set of instructions for estimating future requirements for a consumer'"'"'s compute workload;

a third set of instructions for collecting current rates available from eligible energy providers;

a fourth set of instructions for calculating cost of transferring from a current provider to another; and

program logic for initiating said sets of instructions to make a determination regarding an option to select an energy supplier to provide power for a consumer to perform the compute workload.

17. The program product according to claim 16 wherein the medium contains instructions for determining the amount of the workload to redistribute based upon the consumer'"'"'s requirements, current rates of eligible energy providers, and redistribution costs.

18. The program product according to claim 16 wherein the medium contains instructions for giving an opportunity for a current energy provider to adjust its energy costs to the consumer.

19. The program product according to claim 16 wherein the medium contains instructions further including the step of initiating an auction between two or more energy suppliers to meet the energy requirements of the consumer based upon the target price.

20. The program product according to claim 19 wherein the medium contains instructions further including the step of awarding a contract for future energy requirements to a low bidder.

21. A method in a computer system for a service provider to negotiate optimum contract terms for a quantum of energy for a compute operation, said method comprising:

estimating computer workload power requirements of a consumer;

obtaining current rates of eligible energy providers,

calculating cost of transferring the workload from one energy provider to another; and

selecting the energy provider with the optimum contract terms.

22. The method in a computer system according to claim 21 further enabling the service provider to determine the amount of the workload to redistribute based upon the consumer'"'"'s requirements, current rates of eligible providers, and redistribution costs.

23. The method in a computer system according to claim 22 further including the step of the service provider giving an opportunity for a current energy provider to adjust its energy costs to the consumer.

24. The method in a computer system according to claim 21 further including initiating an auction between two more energy suppliers to meet the energy requirements of the consumer based upon said optimum contract terms, and awarding a contract for future energy requirements to the low bidder.

25. The method according to claim 21 wherein the service provider functions as a workload dispatcher.