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DTSTAMP:20181221T160730Z
LOCATION:C140/142
DTSTART;TZID=America/Chicago:20181113T160000
DTEND;TZID=America/Chicago:20181113T163000
UID:submissions.supercomputing.org_SC18_sess182_pap541@linklings.com
SUMMARY:Evaluation of an Interference-Free Node Allocation Policy on Fat-T
 ree Clusters
DESCRIPTION:Paper\nNetworks, Resource Management, Scheduling, State of the
  Practice, System Software, Tech Program Reg Pass\n\nEvaluation of an Inte
 rference-Free Node Allocation Policy on Fat-Tree Clusters\n\nPollard, Jain
 , Herbein, Bhatele\n\nInterference between jobs competing for network band
 width on a fat-tree cluster can cause significant variability and degradat
 ion in performance. These performance issues can be mitigated or completel
 y eliminated if the resource allocation policy takes the network topology 
 into account when allocating nodes to jobs. We implement a fat-tree networ
 k topology aware node allocation policy that allocates isolated partitions
  to jobs in order to eliminate inter-job interference. We compare the impa
 ct of this node allocation policy to a topology-oblivious policy with resp
 ect to the execution time of individual jobs with different communication 
 patterns. We also evaluate the cluster's quality of service using metrics 
 such as system utilization, schedule makespan, and job wait time for both 
 policies. The results obtained for production workloads indicate that a to
 pology-aware node allocation can provide interference-free execution witho
 ut negatively impacting the cluster's quality of service.
URL:https://sc18.supercomputing.org/presentation/?id=pap541&sess=sess182
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