ENVIRONMENTAL AND COMPUTING COST REDUCTION WITH IMPROVED RELIABILITY IN WORKLOAD ASSIGNMENT TO DISTRIBUTED COMPUTING NODES

• US 20100228861A1
• Filed: 03/04/2009
• Published: 09/09/2010
• Est. Priority Date: 03/04/2009
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Iadanza, Joseph Andrew, Cranford, Hayden C. JR., Arsovski, Igor, Bonaccio, Anthony Richard, Thiagarajan, Pradeep, Degbotse, Alfred, Ventrone, Sebastian Theodore, Leonard, Todd Edwin
• Granted Patent: US 8,793,365 B2
• Time in Patent Office: Days
• US Class Current: 709/226
• 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 9/5094 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: Y02D 10/00 Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

A system and method of allocating a job submission for a computational task to a set of distributed server farms each having at least one processing entity comprising; receiving a workload request from at least one processing entity for submission to at least one of the set of distributed server farms; using at least one or more conditions associated with the computational task for accepting or rejecting at least one of the server farms to which the job submission is to be allocated; determining a server farm that can optimize the one or more conditions; and dispatching the job submission to the server farm which optimizes the at least one of the one or more conditions associated with the computational task and used for selecting the at least one of the server farms.

Claims

1. A method of allocating a job submission for a computational task to a set of distributed server farms each having at least one processing entity comprising;

receiving a workload request from at least one processing entity for submission to at least one of the set of distributed server farms;

using at least one or more conditions associated with the computational task for accepting or rejecting at least one of the server farms to which the job submission is to be allocated;

determining a server farm that can optimize said one or more conditions; and

dispatching the job submission to the server farm which optimizes the at least one of the one or more conditions associated with the computational task and used for selecting the at least one of the server farms.

2. The method of claim 1 further comprising:

using as a condition, auditing the workload request for environmental, monetary or timing requirements; and

calculating the environmental, monetary and/or time costs for each server farm.

3. The method of claim 1 further comprising:

using as a condition, at least one of the lowest environmental impact as measured by a power source used to power the server farm, a server farm power performance, and/or an expected processing time of the workload and energy requirements for transporting the workload to the server farm for rejecting a server farm.

4. The method of claim 1 further comprising:

using as a condition costs associated with the computational task in addition to capability, availability and/or efficiency of a server farm.

5. The method of claim 1 wherein a server farm implements a carbon trading system which calculates carbon credits as a function of CO and/or CO₂ level differentials between the energy source used and a base CO2 level used to calculate a carbon credit/debit, said method using as a condition an amount of carbon credits for selecting a server farm.

6. The method of claim 1 further comprising:

using as a condition, power suppliers operating either from renewable resources or non-renewable sources.

7. The method of claim 6 further comprising:

using as a condition, the generation efficiency and environmental footprint per unit of energy produced.

8. The method of claim 1 further comprising:

estimating when peak energy requirements of the geographical area where a server farm is located is close to the maximum generation/transmission capacity of the geographical area, and said method using as a condition said estimate.

9. A system of allocating a job submission for a computational task to a set of distributed server fauns each having at least one processing entity comprising;

receiving means for receiving a workload request from at least one processing entity for submission to at least one of the set of distributed server farms;

selecting means using at least one or more conditions associated with the computational task for accepting or rejecting at least one of the server farms to which the job submission is to be allocated;

determining means for providing a server farm that can optimize said one or more condition; and

sending means for dispatching the job submission to the server farm which optimizes the at least one of the one or more conditions associated with the computational task and used for selecting the at least one of the server farms.

10. The system of claim 9 further comprising:

using as a condition, auditing workload request for environmental, monetary or timing requirements; and

calculating the environmental, monetary and/or time costs for each server farm.

11. The system of claim 9 further comprising:

using as a condition as least one of the lowest environmental impact as measured by a power source used to power the server farm, a server farm power performance, and/or an expected processing time of the workload and energy requirements for transporting the workload to the server farm for rejecting a server farm.

12. The system of claim 9 further comprising:

using as a condition costs associated with the computational task in addition to capability, availability and/or efficiency of a server farm.

13. The system of claim 9 wherein a server farm implements a carbon trading system which calculates carbon credits as a function of CO and/or CO2 level differentials between the energy source used and a base CO2 level used to calculate a carbon credit/debit, said method using as a condition an amount of carbon credits for selecting a server farm.

14. The system of claim 9 further comprising:

using as a condition, power suppliers operating either from renewable resources or non-renewable sources.

15. The system of claim 14 further comprising:

using as a condition, the generation efficiency and environmental footprint per unit of energy produced.

16. The system of claim 9 further comprising:

estimating when peak energy requirements of the geographical area where a server farm is located is close to the maximum generation/transmission capacity of the geographical area, and said method using as a condition said estimate.

17. A computer program product for use with a computer, the computer program product including a computer readable medium having recorded thereon a computer program or program code for causing the computer to perform a method for storing and retrieving data, the method comprising:

receiving a workload request from at least one processing entity for submission to at least one of the set of distributed server farms;

using at least one or more conditions associated with the computational task for accepting or rejecting at least one of the server farms to which the job submission is to be allocated;

determining a server farm that can optimize said one or more condition; and

dispatching the job submission to the server farm which optimizes the at least one of the one or more conditions associated with the computational task and used for selecting the at least one of the server farms.

18. The computer program product of claim 17 further comprising:

using as a condition, auditing workload request for environmental, monetary or timing requirements; and

calculating the environmental, monetary and or time costs for each server farm.

19. The computer program product of claim 18 further comprising:

using as a condition, the lowest environmental impact as measured by a power source used to power the server farm, a server farm power performance, and/or an expected processing time of the workload and energy requirements for transporting the workload to the server farm for rejecting a server farm.

20. The computer program product of claim 18 wherein a server farm implements a carbon trading system which calculates carbon credits as a function of CO and/or CO2 level differentials between the energy source used and a base CO2 level used to calculate a carbon credit/debit, said method using as a condition an amount of carbon credits for selecting a server farm.

21. The computer program product of claim 17 further comprising:

using as a condition, power suppliers operating either from renewable resources or non-renewable sources.

22. The computer program product of claim 21 further comprising:

using as a condition, the generation efficiency and environmental footprint per unit of energy produced.

23. The computer program product of claim 17 further comprising:

estimating when peak energy requirements of the geographical area where a server farm is located is close to the maximum generation/transmission capacity of the geographical area, and said method using as a condition said estimate.