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DTSTAMP:20260522T150125Z
LOCATION:D170
DTSTART;TZID=America/Chicago:20181112T090500
DTEND;TZID=America/Chicago:20181112T092500
UID:submissions.supercomputing.org_SC18_sess169_ws_daac106@linklings.com
SUMMARY:Contention-Aware Container Placement Strategy for Docker Swarm
DESCRIPTION:Ron Chi-Lung Chiang (University of St. Thomas)\n\nContaineriza
 tion technology utilizes operating system level virtualization to package 
 applications so they can run with required libraries and are isolated from
  other processes on the same host.  Lightweight and quick deployment make 
 containers popular in many data centers. Running distributed applications 
 in data centers usually involves multiple clusters of machines. Docker Swa
 rm is a container orchestration tool for managing a cluster of Docker cont
 ainers and their hosts. However, Docker Swarm's scheduler does not conside
 r resource utilization when placing containers in a cluster. This paper fi
 rst investigated performance interference in container clusters. Our exper
 imental study showed that distributed applications' performance can be deg
 raded by about 15% when co-located with other containers which aggressivel
 y consume resources. We then proposed a new scheduler to improve performan
 ce while keeping high resource utilization. The experimental results demon
 strated that the proposed prototype can effectively improve distributed ap
 plications' performance by up to 3.13%.\n\nTag: Build Systems, Clouds and 
 Distributed Computing, Data Analytics, Deep Learning, Education, HPC Cente
 r Planning and Operations, Heterogeneous Systems, Resource Management, Sch
 eduling, Scientific Computing, State of the Practice, Visualization, HPC, 
 Containers, Datacenter, Industry, monitoring\n\nRegistration Category: Wor
 kshop Reg Pass\n\nSession Chairs: Yong Chen (Texas Tech University), Tim C
 ockerill (Texas Advanced Computing Center (TACC)), Dong Dai (University of
  Delaware), and Alan Sill (Texas Tech University)\n\n
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