[jira] [Updated] (YARN-3808) Proposal of Time Based Fair Scheduling for YARN
[ https://issues.apache.org/jira/browse/YARN-3808?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wei Shao updated YARN-3808: --- Attachment: (was: ProposalOfTimeBasedFairSchedulingForYARN-V1.0.pdf) Proposal of Time Based Fair Scheduling for YARN --- Key: YARN-3808 URL: https://issues.apache.org/jira/browse/YARN-3808 Project: Hadoop YARN Issue Type: Improvement Components: fairscheduler, scheduler Reporter: Wei Shao Attachments: ProposalOfTimeBasedFairSchedulingForYARN-V1.1.pdf This proposal talks about the issues of YARN fair scheduling policy, and tries to solve them by YARN-3806 and the new scheduling policy called time based fair scheduling. Time based fair scheduling policy is proposed to enforces time based fairness among users. For example, if two users share the cluster weekly, each user’s fair share is half of the cluster per week. At a particular week, if the first user has used the whole cluster for first half of the week, then in second half of the week, second user will always have priority to use cluster resources since the first user has used up its fair share of the cluster already. -- This message was sent by Atlassian JIRA (v6.3.4#6332)
[jira] [Updated] (YARN-3808) Proposal of Time Based Fair Scheduling for YARN
[ https://issues.apache.org/jira/browse/YARN-3808?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wei Shao updated YARN-3808: --- Attachment: ProposalOfTimeBasedFairSchedulingForYARN-V1.1.pdf Proposal of Time Based Fair Scheduling for YARN --- Key: YARN-3808 URL: https://issues.apache.org/jira/browse/YARN-3808 Project: Hadoop YARN Issue Type: Improvement Components: fairscheduler, scheduler Reporter: Wei Shao Attachments: ProposalOfTimeBasedFairSchedulingForYARN-V1.1.pdf This proposal talks about the issues of YARN fair scheduling policy, and tries to solve them by YARN-3806 and the new scheduling policy called time based fair scheduling. Time based fair scheduling policy is proposed to enforces time based fairness among users. For example, if two users share the cluster weekly, each user’s fair share is half of the cluster per week. At a particular week, if the first user has used the whole cluster for first half of the week, then in second half of the week, second user will always have priority to use cluster resources since the first user has used up its fair share of the cluster already. -- This message was sent by Atlassian JIRA (v6.3.4#6332)
[jira] [Updated] (YARN-3808) Proposal of Time Based Fair Scheduling for YARN
[ https://issues.apache.org/jira/browse/YARN-3808?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wei Shao updated YARN-3808: --- Attachment: (was: ProposalOfTimeBasedFairSchedulingForYARN-V1.1.pdf) Proposal of Time Based Fair Scheduling for YARN --- Key: YARN-3808 URL: https://issues.apache.org/jira/browse/YARN-3808 Project: Hadoop YARN Issue Type: Improvement Components: fairscheduler, scheduler Reporter: Wei Shao Attachments: ProposalOfTimeBasedFairSchedulingForYARN-V1.02.pdf This proposal talks about the issues of YARN fair scheduling policy, and tries to solve them by YARN-3806 and the new scheduling policy called time based fair scheduling. Time based fair scheduling policy is proposed to enforces time based fairness among users. For example, if two users share the cluster weekly, each user’s fair share is half of the cluster per week. At a particular week, if the first user has used the whole cluster for first half of the week, then in second half of the week, second user will always have priority to use cluster resources since the first user has used up its fair share of the cluster already. -- This message was sent by Atlassian JIRA (v6.3.4#6332)
[jira] [Updated] (YARN-3808) Proposal of Time Based Fair Scheduling for YARN
[ https://issues.apache.org/jira/browse/YARN-3808?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wei Shao updated YARN-3808: --- Attachment: ProposalOfTimeBasedFairSchedulingForYARN-V1.02.pdf Proposal of Time Based Fair Scheduling for YARN --- Key: YARN-3808 URL: https://issues.apache.org/jira/browse/YARN-3808 Project: Hadoop YARN Issue Type: Improvement Components: fairscheduler, scheduler Reporter: Wei Shao Attachments: ProposalOfTimeBasedFairSchedulingForYARN-V1.02.pdf This proposal talks about the issues of YARN fair scheduling policy, and tries to solve them by YARN-3806 and the new scheduling policy called time based fair scheduling. Time based fair scheduling policy is proposed to enforces time based fairness among users. For example, if two users share the cluster weekly, each user’s fair share is half of the cluster per week. At a particular week, if the first user has used the whole cluster for first half of the week, then in second half of the week, second user will always have priority to use cluster resources since the first user has used up its fair share of the cluster already. -- This message was sent by Atlassian JIRA (v6.3.4#6332)
[jira] [Updated] (YARN-3808) Proposal of Time Based Fair Scheduling for YARN
[ https://issues.apache.org/jira/browse/YARN-3808?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wei Shao updated YARN-3808: --- Attachment: (was: ProposalOfGuaranteedCapacitySchedulingForYARN-V1.1.pdf) Proposal of Time Based Fair Scheduling for YARN --- Key: YARN-3808 URL: https://issues.apache.org/jira/browse/YARN-3808 Project: Hadoop YARN Issue Type: Improvement Components: fairscheduler, scheduler Reporter: Wei Shao Attachments: ProposalOfTimeBasedFairSchedulingForYARN-V1.0.pdf This proposal talks about the issues of YARN fair scheduling policy, and tries to solve them by YARN-3806 and the new scheduling policy called time based fair scheduling. Time based fair scheduling policy is proposed to enforces time based fairness among users. For example, if two users share the cluster weekly, each user’s fair share is half of the cluster per week. At a particular week, if the first user has used the whole cluster for first half of the week, then in second half of the week, second user will always have priority to use cluster resources since the first user has used up its fair share of the cluster already. -- This message was sent by Atlassian JIRA (v6.3.4#6332)
[jira] [Updated] (YARN-3808) Proposal of Time Based Fair Scheduling for YARN
[ https://issues.apache.org/jira/browse/YARN-3808?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wei Shao updated YARN-3808: --- Attachment: ProposalOfGuaranteedCapacitySchedulingForYARN-V1.1.pdf Proposal of Time Based Fair Scheduling for YARN --- Key: YARN-3808 URL: https://issues.apache.org/jira/browse/YARN-3808 Project: Hadoop YARN Issue Type: Improvement Components: fairscheduler, scheduler Reporter: Wei Shao Attachments: ProposalOfTimeBasedFairSchedulingForYARN-V1.0.pdf This proposal talks about the issues of YARN fair scheduling policy, and tries to solve them by YARN-3806 and the new scheduling policy called time based fair scheduling. Time based fair scheduling policy is proposed to enforces time based fairness among users. For example, if two users share the cluster weekly, each user’s fair share is half of the cluster per week. At a particular week, if the first user has used the whole cluster for first half of the week, then in second half of the week, second user will always have priority to use cluster resources since the first user has used up its fair share of the cluster already. -- This message was sent by Atlassian JIRA (v6.3.4#6332)
[jira] [Updated] (YARN-3808) Proposal of Time Based Fair Scheduling for YARN
[ https://issues.apache.org/jira/browse/YARN-3808?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wei Shao updated YARN-3808: --- Attachment: ProposalOfTimeBasedFairSchedulingForYARN-V1.0.pdf Proposal of Time Based Fair Scheduling for YARN --- Key: YARN-3808 URL: https://issues.apache.org/jira/browse/YARN-3808 Project: Hadoop YARN Issue Type: Improvement Components: fairscheduler, scheduler Reporter: Wei Shao Attachments: ProposalOfTimeBasedFairSchedulingForYARN-V1.0.pdf This proposal talks about the issues of YARN fair scheduling policy, and tries to solve them by YARN-3806 and the new scheduling policy called time based fair scheduling. Time based fair scheduling policy is proposed to enforces time based fairness among users. For example, if two users share the cluster weekly, each user’s fair share is half of the cluster per week. At a particular week, if the first user has used the whole cluster for first half of the week, then in second half of the week, second user will always have priority to use cluster resources since the first user has used up its fair share of the cluster already. -- This message was sent by Atlassian JIRA (v6.3.4#6332)
