只有两个mesos框架支持GPU资源: Marathon和Aurora。我想使用GPU资源在mesos代理上启动批处理作业。所以,只有Aurora支持这样的工作。但目前dcos还没有正式支持Aurora。我尝试过集成,但没有成功。DCOS Mesos大师不注册Aurora框架,但参展商为Aurora创建记录。我在mesos的日志中找不到任何有关极光的记录。下面是我的aurora-scheduler配置:
#!/bin/bash
GLOG_v=0
LIBPROCESS_PORT=8083
#LIBPROCESS_IP=127.0.0.1
JAVA_HOME=/opt/mesosphere/active/java/usr/java
JAVA_OPTS="-server -Djava.library.path='/opt/mesosphere/lib;/usr/lib;/usr/lib64'"
PATH=$PATH:/opt/mesosphere/bin
MESOS_NATIVE_JAVA_LIBRARY=/opt/mesosphere/lib/libmesos.so
LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/opt/mesosphere/lib
JAVA_LIBRARY_PATH=$JAVA_LIBRARY_PATH:/opt/mesosphere/lib
# Flags control the behavior of the Aurora scheduler.
# For a full list of available flags, run /usr/lib/aurora/bin/aurora-scheduler -help
AURORA_FLAGS=(
# The name of this cluster.
-cluster_name='My Cluster'
# The HTTP port upon which Aurora will listen.
-http_port=8088
# The ZooKeeper URL of the ZNode where the Mesos master has registered.
-mesos_master_address=zk://master_ip1:2181,master_ip2:2181,master_ip3:2181/mesos
# The ZooKeeper quorum to which Aurora will register itself.
-zk_endpoints=master_ip1:2181,master_ip1:2181,master_ip1:2181
# The ZooKeeper ZNode within the specified quorum to which Aurora will register its
# ServerSet, which keeps track of all live Aurora schedulers.
-serverset_path='/aurora/scheduler'
# Allows the scheduling of containers of the provided type.
-allowed_container_types='DOCKER,MESOS'
-allow_docker_parameters=true
-allow_gpu_resource=true
-executor_user=root
### Native Log Settings ###
# The native log serves as a replicated database which stores the state of the
# scheduler, allowing for multi-master operation.
# Size of the quorum of Aurora schedulers which possess a native log. If running in
# multi-master mode, consult the following document to determine appropriate values:
#
# https://aurora.apache.org/documentation/latest/deploying-aurora-scheduler/#replicated-log-configuration
-native_log_quorum_size=2
# The ZooKeeper ZNode to which Aurora will register the locations of its replicated log.
-native_log_zk_group_path='/aurora/replicated-log'
# The local directory in which an Aurora scheduler can find Aurora's replicated log.
-native_log_file_path='/var/lib/aurora/scheduler/db'
# The local directory in which Aurora schedulers will place state backups.
-backup_dir='/var/lib/aurora/scheduler/backups'
### Thermos Settings ###
# The local path of the Thermos executor binary.
-thermos_executor_path='/usr/bin/thermos_executor'
# Flags to pass to the Thermos executor.
-thermos_executor_flags='--announcer-ensemble 127.0.0.1:2181')发布于 2016-11-17 19:40:12
我设法在DC/OS 1.8上启动了Aurora框架。由于mesos和java都嵌入到DS/OS中,并且有自定义的配置,特别是我必须用docker隔离极光的路径。所以,你可以在我的docker repo上找到Aurora组件的docker镜像:Aurora scheduler,Aurora executor。这也允许我或其他人创建一个宇宙包。
在DC/OS上部署Aurora Scheduler的步骤:
/var/lib/aurora { "id":"/aurora/aurora-executor","env":{ "MESOS_ROOT":"/var/lib/mesos/slave“},”实例“:20,"cpus":1,”内存“:128,”磁盘“:0,"gpus":0,”约束“:[”主机名“,”唯一“],“容器”:{ "docker":{ "image":"krot/aurora-executor","forcePullImage":true,“特权”:false,“网络”:“主机”},“类型”:"DOCKER","volumes":{ "containerPath":"/var/lib/mesos/slave","hostPath":“/var/lib/mesos/hostPath”,"mode":"RW“},{ "containerPath":"/var/lib/aurora","hostPath":"/var/lib/aurora","mode":"RW”}}
备注。将"instances"设置为代理数量。2a。另一种部署aurora执行器的方法(应该在每个DC/OS代理上执行):
sudo yum install -y python2 wget wget -c https://apache.bintray.com/aurora/centos-7/aurora-executor-0.16.0-1.el7.centos.aurora.x86_64.rpm rpm -Uhv --nodeps sudo
进行编辑以添加--mesos-root标志,结果如下所示:
"EXTRA_SCHEDULER_ARGS":"-allow_gpu_resource=true“},”实例“:3,"cpus":1,”内存“:1024,”磁盘“:0,"gpus":0,”约束“:[”主机名“,”唯一“],“容器”:{ "docker":{ "image":"krot/aurora-scheduler","forcePullImage":true,“特权”:false,“网络”:“主机”},“类型”:"DOCKER","volumes":{ "containerPath":"/var/lib/aurora","hostPath":"/var/lib/aurora","mode":"RW“}
备注: -allow_gpu_resource=true支持图形处理器。可以使用环境变量配置Aurora调度程序。有关详细信息,请参阅documentation。
https://stackoverflow.com/questions/40483367
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