MANAGING WORKLOAD TO PROVIDE MORE UNIFORM WEAR AMONG COMPONENTS WITHIN A COMPUTER CLUSTER

• US 20150154048A1
• Filed: 12/04/2013
• Published: 06/04/2015
• Est. Priority Date: 12/04/2013
• Status: Abandoned Application

• Current Assignee: Lenovo Enterprise Solutions (Singapore) Pte., Ltd. (Lenovo Group Ltd.)
• Original Assignee: International Business Machines Corporation
• Inventors: Alshinnawi, Shareef F., Cudak, Gary D., Suffern, Edward S., Weber, J. Mark
• Application Number:
  US14/096,602
• Publication Number:
  US 20150154048A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 1/3287 by switching off individual functional units in the computer system
• CPC Class Codes: G06F 9/5088 involving task migration
• 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
• CPC Class Codes: Y02D 30/50 in wire-line communication networks, e.g. low power modes or reduced link rate

Abstract

A method and a computer program product for implementing the method are provided for wear leveling the physical servers or other components within a cluster. The method includes identifying uptime for each of a plurality of physical servers within a cluster and scheduling jobs on the physical servers within the cluster giving priority to the use of physical servers in order of increasing uptime. The physical servers within the cluster that have no assigned jobs are then powered off. As a result, physical servers having low uptime relative to other physical servers within the cluster will operate more so that their uptime increases, and physical servers having high uptime relative to other physical servers within the cluster will operate less so that their uptime does not increase. Over time, the method will narrow the range of uptime, which may be referred to as “wear leveling.”

Claims

1. A method, comprising:

identifying uptime for each of a plurality of physical servers within a cluster;

scheduling jobs on the physical servers within the cluster giving priority to the use of physical servers in order of increasing uptime; and

powering off physical servers within the cluster that have no assigned jobs.

2. The method of claim 1, further comprising:

identifying an available capacity of each of the plurality of physical servers within the cluster;

receiving an additional job request to be run by one of the physical servers within the cluster;

identifying a subset of the physical servers that each have sufficient available capacity to run the job;

wherein scheduling jobs on the physical servers within the cluster giving priority to the use of physical servers in order of increasing uptime, includes scheduling the additional job on one of the physical servers, from among the subset of the physical servers, that has the least uptime.

3. The method of claim 1, further comprising:

determining a performance capacity that is needed to run the jobs;

identifying a first subset of the physical servers that collectively provide the determined performance capacity, wherein the physical servers in the first subset are selected giving priority to physical servers in order of increasing uptime;

scheduling all of the jobs on the first subset of the physical servers.

4. The method of claim 1, further comprising:

powering on additional physical servers within the cluster in order of increasing uptime as needed to run the jobs.

5. The method of claim 1, wherein scheduling jobs on the physical servers within the cluster giving priority to the use of physical servers in order of increasing uptime, includes sequentially scheduling each job to be run by the physical server having the least uptime among the physical servers that have available capacity for the job.

6. The method of claim 1, further comprising:

migrating all of the jobs from a first physical server within the cluster to one or more of the physical servers within the cluster having less uptime than the first physical server.

7. The method of claim 1, further comprising:

migrating all of the jobs from a first physical server within the cluster to at least one other physical server within the cluster, wherein the first physical server has the most uptime among the physical servers that are running.

8. The method of claim 1, further comprising:

each physical server storing uptime in vital product data accessible to a management controller of the physical server.

9. The method of claim 8, wherein identifying uptime for each of the plurality of physical servers within the cluster, includes reading vital product data for each of the plurality of physical servers.

10. The method of claim 9, further comprising:

a management controller in each physical server reading the uptime from the stored vital product data and communicating the uptime to a cluster management node.

11. The method of claim 10, further comprising:

the cluster management node communicating the uptime for each physical server to a workload manager that is responsible for scheduling jobs among the physical servers within the cluster.

12. The method of claim 11, further comprising:

the workload manager storing the uptime for each of the physical servers in the cluster.

13. The method of claim 1, further comprising:

identifying uptime for additional components selected from network switches and data storage devices;

scheduling jobs on the physical servers within the cluster giving priority to the use of physical servers that use the additional components in order of increasing uptime; and

powering off the additional components within the cluster that are used by physical servers that have no assigned jobs.

14. A computer program product including computer readable program code embodied on a computer readable storage medium, the computer program product comprising:

computer readable program code for identifying uptime for each of a plurality of physical servers within a cluster;

computer readable program code for scheduling jobs on the physical servers within the cluster giving priority to the use of physical servers in order of increasing uptime; and

computer readable program code for powering off physical servers within the cluster that have no assigned jobs

15. The computer program product of claim 14, further comprising:

computer readable program code for identifying an available capacity of each of the plurality of physical servers within the cluster;

computer readable program code for receiving an additional job request to be run by one of the physical servers within the cluster;

computer readable program code for identifying a subset of the physical servers that each have sufficient available capacity to run the job;

wherein the computer readable program code for scheduling jobs on the physical servers within the cluster giving priority to the use of physical servers in order of increasing uptime, includes computer readable program code for scheduling the additional job on one of the physical servers, from among the subset of the physical servers, that has the least uptime.

16. The computer program product of claim 14, further comprising:

computer readable program code for determining a performance capacity that is needed to run the jobs;

computer readable program code for identifying a first subset of the physical servers that collectively provide the determined performance capacity, wherein the physical servers in the first subset are selected giving priority to physical servers in order of increasing uptime;

computer readable program code for scheduling all of the jobs on the first subset of the physical servers.

17. The computer program product of claim 14, further comprising:

computer readable program code for powering on additional physical servers within the cluster in order of increasing uptime as needed to run the jobs.

18. The computer program product of claim 14, wherein the computer readable program code for scheduling jobs on the physical servers within the cluster giving priority to the use of physical servers in order of increasing uptime, includes computer readable program code for sequentially scheduling each job to be run by the physical server having the least uptime among the physical servers that have available capacity for the job.

19. The computer program product of claim 14, further comprising:

computer readable program code for migrating all of the jobs from a first physical server within the cluster to one or more of the physical servers within the cluster having less uptime than the first physical server.

20. The computer program product of claim 14, further comprising:

computer readable program code for migrating all of the jobs from a first physical server within the cluster to at least one other physical server within the cluster, wherein the first physical server has the most uptime among the physical servers that are running.