Job distribution within a grid environment using mega-host groupings of execution hosts
First Claim
1. A method for job distribution within a grid environment, comprising:
- determining resource attributes corresponding to each execution host of each of one or more execution clusters;
grouping, for each execution cluster, execution hosts based on the resource attributes of the respective execution hosts;
combining, for each respective group of execution hosts, select resource attributes of select execution hosts and modeling a mega-host for the respective execution cluster based on the selected, combined resource attributes; and
responsive to receiving jobs at a submission cluster;
determining resource requirements for the jobs;
identifying candidate mega-hosts for the jobs based on the resource attributes of the respective mega-hosts and the resource requirements of the jobs; and
selecting an optimum candidate mega-host for allocating a respective job thereto for execution of the job without evaluating each execution host of each execution cluster based on a weighting factor applied to select resources of the candidate mega-hosts.
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Abstract
According to one aspect of the present disclosure, a technique for job distribution within a grid environment includes receiving jobs at a submission cluster for distribution of the jobs to at least one of a plurality of execution clusters where each execution cluster includes one or more execution hosts. Resource attributes are determined corresponding to each execution host of the execution clusters. For each execution cluster, execution hosts are grouped based on the resource attributes of the respective execution hosts. For each grouping of execution hosts, a mega-host is defined for the respective execution cluster where the mega-host for a respective execution cluster defines resource attributes based on the resource attributes of the respective grouped execution hosts. Resource requirements for the jobs are determined, and candidate mega-hosts are identified for the jobs based on the resource attributes of the respective mega-hosts and the resource requirements of the jobs.
47 Citations
18 Claims
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1. A method for job distribution within a grid environment, comprising:
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determining resource attributes corresponding to each execution host of each of one or more execution clusters; grouping, for each execution cluster, execution hosts based on the resource attributes of the respective execution hosts; combining, for each respective group of execution hosts, select resource attributes of select execution hosts and modeling a mega-host for the respective execution cluster based on the selected, combined resource attributes; and responsive to receiving jobs at a submission cluster; determining resource requirements for the jobs; identifying candidate mega-hosts for the jobs based on the resource attributes of the respective mega-hosts and the resource requirements of the jobs; and selecting an optimum candidate mega-host for allocating a respective job thereto for execution of the job without evaluating each execution host of each execution cluster based on a weighting factor applied to select resources of the candidate mega-hosts. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A system for job distribution within a grid environment, comprising:
a submission cluster, having a processor, for distributing jobs to at least one of a plurality of execution clusters, wherein each execution cluster comprises one or more execution hosts, and wherein the submission cluster comprises logic executable by a processor unit to; determine resource attributes corresponding to each execution host of the execution clusters; group, for each execution cluster, execution hosts based on the resource attributes of the respective execution hosts; combine, for each respective group of execution hosts, select resource attributes of select execution hosts and model a mega-host for the respective execution cluster based on the selected, combined resource attributes; and responsive to receiving jobs at the submission cluster; determine resource requirements for the jobs; identify candidate mega-hosts for the jobs based on the resource attributes of the respective mega-hosts and the resource requirements of the jobs; and select an optimum candidate mega-host for allocating a respective job thereto for execution of the job without evaluating each execution host of each execution cluster based on a weighting factor applied to select resources of the candidate mega-hosts. - View Dependent Claims (8, 9, 10, 11, 12)
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13. A computer program product for job distribution within a grid environment, the computer program product comprising:
a non-transitory computer readable medium having computer readable program code embodied therewith, the computer readable program code comprising computer readable program code configured to; determine resource attributes corresponding to each execution host of a plurality of execution clusters, wherein each execution cluster includes one or more execution hosts; group, for each execution cluster, execution hosts based on the resource attributes of the respective execution hosts; combine, for each respective group of execution hosts, select resource attributes of select execution hosts and model a mega-host for the respective execution cluster based on the selected, combined resource attributes; and responsive to receiving jobs at a submission cluster; determine resource requirements for the jobs; identify candidate mega-hosts for the jobs based on the resource attributes of the respective mega-hosts and the resource requirements of the jobs; and select an optimum candidate mega-host for allocating a respective job thereto for execution of the job without evaluating each execution host of each execution cluster based on a weighting factor applied to select resources of the candidate mega-hosts. - View Dependent Claims (14, 15, 16, 17, 18)
Specification