METHOD FOR SELECTING A RESOURCE FROM A PLURALITY OF PROCESSING RESOURCES SO THAT THE PROBABLE TIMES TO FAILURE OF THE RESOURCES EVOLVE IN A SUBSTANTIALLY IDENTICAL MANNER

• US 20130158892A1
• Filed: 01/05/2011
• Published: 06/20/2013
• Est. Priority Date: 01/05/2010
• Status: Abandoned Application

• Current Assignee: Commissariat a L'Energie Atomique (AES Corporation)
• Original Assignee: Commissariat a L'Energie Atomique (AES Corporation)
• Inventors: Heron, Olivier, Guilhemsang, Julien, Gupta, Tushar, Ventroux, Nicolas
• Application Number:
  US13/520,551
• Publication Number:
  US 20130158892A1
• Time in Patent Office: Days
• US Class Current: 702/34
• CPC Class Codes: G05B 23/0286 Modifications to the monitored process, e.g. stopping operation or adapting control
• CPC Class Codes: G06F 11/008 Reliability or availability analysis
• CPC Class Codes: G06F 11/3055 Monitoring arrangements for monitoring the status of the computing system or of the computing system component, e.g. monitoring if the computing system is on, off, available, not available error or fault processing without redundancy G06F11/0703; error detection or correction by redundancy in data representation G06F11/08; error detection or correction by redundancy in operation G06F11/14; error detection or correction by redundancy in hardware G06F11/16

Abstract

A method for selecting, from a plurality of processing resources capable in an information-processing system of carrying out one and the same type of process, one of the resources so that it carries out a process of said type, the method including estimating the probable time to failure for each of the resources, the resource being selected so that the probable times to failure of the resources evolve in a substantially identical manner.

Claims

1. A method for selecting, from a plurality of processing resources capable in an information-processing system of carrying out one and the same type of process, one of the resources so that it carries out a process of said type amongst a plurality of processes to be carried out, the method comprising:

estimating a probable time to failure for each of the resources, the estimating including using at least one macro-model of failures that makes it possible to estimate the probable time to failure of the resources, the resource being selected so that the probable times to failure of the resources evolve in a substantially identical manner while the processes are carried out

wherein the macro-model includes a table that associates, with each resource and with each process to be carried out, a frequency of occurrence of a failure, said table being filled prior to the use of the system by virtue of simulation tools, the probable time to failure of each resource being estimated equal to the reciprocal of the sum, on the one hand, of the frequency of occurrence of a failure contained in the table which is associated with the resource and with the processing to be performed which are considered, and, on the other hand, of a current frequency of occurrence of a failure of the resource considered.

2. The method of claim 1, wherein the current frequency of occurrence of a failure of a resource is the total value of the frequencies of occurrence of a failure of said resource that are contained in the table corresponding to the processes carried out previously by said resource.

3. The method of claim 1, wherein the macro-model also includes measuring at least one parameter affecting the ageing of the resources, the current frequency of occurrence of a failure of said resource being obtained by measuring at least one parameter affecting the ageing of said resource.

4. The method of claim 1, wherein the estimated probable time to failure of the resources is a probable time to failure that would result if the resource carried out the process.

5. The method of claim 1, wherein the selected resource is that of which the estimated probable time to failure is the longest.

6. The method of claim 3, wherein the measured parameter is a parameter internal to the resources.

7. The method of claim 6, wherein the internal measured parameter is, for each of the resources:

an operating voltage, and/or;

an operating frequency, and/or;

a leakage current, and/or;

a junction temperature, and/or;

a time interval between a moment of switching of an output of a sensitive path and a moment of capture in an output register by a clock signal, from which a preloading time of said output register is deduced.

8. The method of claim 6, wherein the internal parameter is measured by virtue of activity counters placed in each of the resources, each counter supplying an item of information on the current switching activity of the resource in which it is placed, a relation making it possible to deduce the variation in the temporal margin of the critical paths of said resource.

9. The method of claim 1, wherein the processing resources are computing resources capable of executing tasks.

10. The method of claim 8, wherein each activity counter supplies:

a number of times that a pipeline stage is traversed, or

a number of instructions loaded, or

a number of read/write access operations on a register file, or

a number of loading/storage instructions executed, or

a number of switchings of bits on inputs and outputs in a pipeline stage.

11. The method of claim 1, wherein the processing resources are storage resources capable of reserving memory spaces.

12. The method of claim 8, wherein each activity counter supplies:

a number of read or write access operations on a storage resource, or

a number of access operations per memory bank, or

a number of access operations per memory line, or

a number of switchings of bits.

13. The method of claim 3, wherein the measured parameter is a parameter external to the resources.

14. The method of claim 13, wherein the measured external parameter is:

an ambient temperature, and/or;

an ambient humidity, and/or;

an ambient radioactivity.

15. The method of claim 1, wherein, if a resource has a probable time to failure below a predetermined threshold:

the power supply voltage and the clock frequency of said resource are reduced, or

tasks already allocated to said resource are reallocated to other resources of which the probable times to failure are above the threshold, or

said resource is switched off.

16. The method of claim 9, wherein each activity counter supplies:

a number of times that a pipeline stage is traversed, or

a number of instructions loaded, or

a number of read/write access operations on a register file, or

a number of loading/storage instructions executed, or

a number of switchings of bits on inputs and outputs in a pipeline stage.

17. The method of claim 11, wherein each activity counter supplies:

a number of read or write access operations on a storage resource, or

a number of access operations per memory bank, or

a number of access operations per memory line, or

a number of switchings of bits.