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Managing Docker Containers with OpenNebula 
Marco Mancini, Ph.D. 
Scientific Computing & Operations Division 
marco.mancini@cmcc.it 
OpenNebula Conference 2014 
Berlin, 2-4/12/2014
About CMCC & SCO 
●CMCC is a non-profit research Institution 
●Established in 2005, with the financial support of the Italian Ministry of Education, University and Research, the Ministry of the Environment, Land and Sea and the Ministry of Economy 
●CMCC manages and promotes scientific and applied activities in the field of international climate change research 
●CMCC involves and links private and public institutions, jointly investigating multidisciplinary topics related to climate science research 
Scientific Computing & Operations 
●Scientific Data Management 
●High End Computing 
●High Performance Computing System Management Current Cloud Computing Activities at SCO 
●Big Data analytics framework for eScience (OPHIDIA) to study Climate change and biodiversity (EUBrazilCC project (2014-2016), Ignacio Blanquer, UPV (Spain), Francisco Brasileiro, UFCG, Brasil) 
●Different deployment scenarios using OpenNebula
Proposed feature/activity 
Dockerfile: recipe to build a container 
Execution is fast and lightweight: 
processes are isolated but ran straight on the host, CPU, memory, network and disk/io performance almost equal to native performance 
Containers: lightweight VMs 
Own process space 
Own network space 
Can run stuff as root 
Can have its own /sbin/init 
Image: basis for the container 
Docker Engine: 
Commoditize LXC 
Uses copy-on-write for quick provisioning 
Runs as a daemon 
Interaction with CLI and REST API 
Registry: share/store images 
Integration of Docker containers into OpenNebula Use Case: OneFlow for quick provisioning and dynamic scaling of OPHIDIA 
Docker: Build, Ship and Run Any App, Anywhere 
●Package your application in a container 
●Move the container from one machine to another 
●Execute that container anywhere 
Docker Components 
Data Volume: persistent and/or shared data
Managing Docker Containers with OpenNebula 
OpenNebula as an Orchestrator of VM and Containers 
An Host can provide both VMs and Containers (e.g. KVM + docker engine) 
Security 
Networking (#8951, #8952, #8997) 
Remote/Shared Volumes &Mgmt (#7249, #8484, #8854) 
Monitoring Containers 
Shared Volumes between containers (--volumes-from) 
Linking containers (--link) 
Datastore (Images) 
Docker Registry 
Datastore (Data Volumes) 
CEPH 
Transfer Manager 
docker pull/push 
Information Manager 
docker inspect 
VM Manager 
docker run (deploy) 
docker import/export (migrate) 
docker stop 
docker rm (delete) 
CPU="1” MEMORY="256" SOURCE="docker://webserver:1.0" VOLUME=["/var/www"] PORT=80 NETWORK=“docker0” 
Template 
Mount a CEPH Data Volume 
rbd create –p one one-${VID} --size ${VSIZE} 
rbd map one-${VID} 
mkdir ${HDIR}/${VMID}/volume.${VID} 
mkfs –t ${TYPEFS} $DEV 
mount $DEV ${HDIR}/${VMID}/volume.${VID} 
Deploy a Docker container 
docker run -d -v ${HDIR}/${VMID}/disk.${VID}:/var/www -p 80 --name one-${VMID} -c 1 -m 256m webserver:1.0
Thank you.

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  • 1. Managing Docker Containers with OpenNebula Marco Mancini, Ph.D. Scientific Computing & Operations Division marco.mancini@cmcc.it OpenNebula Conference 2014 Berlin, 2-4/12/2014
  • 2. About CMCC & SCO ●CMCC is a non-profit research Institution ●Established in 2005, with the financial support of the Italian Ministry of Education, University and Research, the Ministry of the Environment, Land and Sea and the Ministry of Economy ●CMCC manages and promotes scientific and applied activities in the field of international climate change research ●CMCC involves and links private and public institutions, jointly investigating multidisciplinary topics related to climate science research Scientific Computing & Operations ●Scientific Data Management ●High End Computing ●High Performance Computing System Management Current Cloud Computing Activities at SCO ●Big Data analytics framework for eScience (OPHIDIA) to study Climate change and biodiversity (EUBrazilCC project (2014-2016), Ignacio Blanquer, UPV (Spain), Francisco Brasileiro, UFCG, Brasil) ●Different deployment scenarios using OpenNebula
  • 3. Proposed feature/activity Dockerfile: recipe to build a container Execution is fast and lightweight: processes are isolated but ran straight on the host, CPU, memory, network and disk/io performance almost equal to native performance Containers: lightweight VMs Own process space Own network space Can run stuff as root Can have its own /sbin/init Image: basis for the container Docker Engine: Commoditize LXC Uses copy-on-write for quick provisioning Runs as a daemon Interaction with CLI and REST API Registry: share/store images Integration of Docker containers into OpenNebula Use Case: OneFlow for quick provisioning and dynamic scaling of OPHIDIA Docker: Build, Ship and Run Any App, Anywhere ●Package your application in a container ●Move the container from one machine to another ●Execute that container anywhere Docker Components Data Volume: persistent and/or shared data
  • 4. Managing Docker Containers with OpenNebula OpenNebula as an Orchestrator of VM and Containers An Host can provide both VMs and Containers (e.g. KVM + docker engine) Security Networking (#8951, #8952, #8997) Remote/Shared Volumes &Mgmt (#7249, #8484, #8854) Monitoring Containers Shared Volumes between containers (--volumes-from) Linking containers (--link) Datastore (Images) Docker Registry Datastore (Data Volumes) CEPH Transfer Manager docker pull/push Information Manager docker inspect VM Manager docker run (deploy) docker import/export (migrate) docker stop docker rm (delete) CPU="1” MEMORY="256" SOURCE="docker://webserver:1.0" VOLUME=["/var/www"] PORT=80 NETWORK=“docker0” Template Mount a CEPH Data Volume rbd create –p one one-${VID} --size ${VSIZE} rbd map one-${VID} mkdir ${HDIR}/${VMID}/volume.${VID} mkfs –t ${TYPEFS} $DEV mount $DEV ${HDIR}/${VMID}/volume.${VID} Deploy a Docker container docker run -d -v ${HDIR}/${VMID}/disk.${VID}:/var/www -p 80 --name one-${VMID} -c 1 -m 256m webserver:1.0