Methods and apparatus to scale application deployments in cloud computing environments
US-10097410-B2 · Oct 9, 2018 · US
US2017200113A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2017200113-A1 |
| Application number | US-201415320844-A |
| Country | US |
| Kind code | A1 |
| Filing date | Jul 31, 2014 |
| Priority date | Jul 31, 2014 |
| Publication date | Jul 13, 2017 |
| Grant date | — |
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A method, system, and computer-readable storage device for selecting a platform configuration in light of a degraded makespan is described herein. A job profile of a prospective job, a normal makespan goal, and a degraded makespan goal may be obtained. The job profile may include a job trace summary. A simulation result of the prospective job may be generated based on a first simulation of the job trace summary on a platform configuration and a second simulation of the job trace summary on a degraded version of the platform configuration. The simulation result may include a predicted normal makespan and a predicated degraded makespan. The platform configuration may then be selected. In some cases the platform configuration may be selected via a purchasing option sent to a tenant.
Opening claim text (preview).
What is claimed is: 1 . A method comprising: obtaining, by a computing system, a job profile of a prospective job, a normal makespan goal, and a degraded makespan goal, the job profile including a job trace summary; generating, by the computing system, a simulation result of the prospective job based on a first simulation of the job trace summary on a platform configuration and a second simulation of the job trace summary on a degraded version of the platform configuration, the simulation result including a predicted normal makespan and a predicated degraded makespan; and communicating, by the computing system, a purchasing option that selects the platform configuration, the purchasing option selects the platform configuration based on the predicted normal makespan satisfying the normal makespan goal and the predicted degraded makespan satisfying the degraded makespan goal. 2 . The method of claim 1 , further comprising: generating an additional simulation result of the prospective job based on a third simulation of the job trace summary on another platform configuration and a fourth simulation of the job trace summary on a degraded version of the another platform configuration, the additional simulation result including another predicted normal makespan and another predicated degraded makespan; and selecting the simulation result to use in the purchasing option based on a comparison between a cost associated with the simulation result and a cost associated with the additional simulation result. 3 . The method of claim 2 , wherein the platform configuration and the another platform configuration differ in a cluster size. 4 . The method of claim 2 , wherein the platform configuration and the another platform configuration differ in an instance type. 5 . The method of claim 1 , further comprising: generating an additional simulation result of the prospective job based on a third simulation of the job trace summary on another platform configuration and a fourth simulation of the job trace summary on a degraded version of the another platform configuration, the additional simulation result including another predicted normal makespan and another predicated degraded makespan; and selecting the simulation result to use in the purchasing option based on a comparison between the predicted normal makespan and the another predicted normal makespan. 6 . The method of claim 1 , further comprising generating the degraded version of the platform configuration, generating the degraded version of the platform configuration includes decrementing a cluster size associated with the platform configuration. 7 . The method of claim 1 , further comprising: responsive to detecting a tenant activation of the purchasing option, provisioning computing resources within a cloud infrastructure according to the platform configuration. 8 . The method of claim 1 , wherein the normal makespan goal and the degraded makespan goal are inputs supplied by a tenant system. 9 . The method of claim 1 , wherein the prospective job is a MapReduce job. 10 . The method of claim 1 , further comprising generating a schedule that lists an execution order for the prospective job and other prospective jobs, wherein the first simulation and the second simulation operate according to the schedule. 11 . A system comprising: a processor to: obtain job profiles of prospective jobs in a workload, a normal makespan goal, and a degraded makespan goal, the job profiles including job trace summaries; generate a schedule of the workload using the job trace summaries and a platform configuration; aggregate a simulation result of an execution of the workload according to the schedule and the platform configuration and a simulation result of another execution of the workload according to the schedule and a degraded version of the platform configuration, the aggregated simulation result including a predicted normal makespan and a predicated degraded makespan; select the platform configuration based on the predicted normal makespan satisfying the normal makespan goal and the predicted degraded makespan satisfying the degraded makespan goal, and provision computing resources from a cloud infrastructure system according to the selected platform configuration. 12 . The system of claim 11 , wherein the processor to select the aggregated simulation result from additional aggregated simulation results based on a comparison of a cost associated with the aggregated simulation result and costs associated with the additional aggregated simulation results. 13 . The system of claim 12 , wherein the processor further to remove aggregated simulation results from the additional aggregated simulation results based the removed aggregated simulation results including predicted normal makespans that violate the normal makespan goal. 14 . The system of claim 12 , wherein the processor further to remove aggregated simulation results from the additional aggregated simulation results based the removed aggregated simulation results including predicted degraded makespans that violate the degraded makespan goal. 15 . A computer-readable storage device comprising instructions that, when executed, cause a processor of a computer device to: receive, from a tenant system, a job profile of a prospective job, a normal makespan goal, and a degraded makespan goal, the job profile including a job trace summary; generate a predicted normal makespan and a predicated degraded makespan for a platform configuration based on executing a first simulation of the prospective job executing on computing resources according to the platform configuration and a second simulation of the prospective job executing on computing resources according to a degraded version of the platform configuration; and select the platform configuration based on the predicted normal makespan satisfying the normal makespan goal and the predicted degraded makespan satisfying the degraded makespan goal.
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