transport_url = rabbit://openstack:sonic@controller auth_strategy = keystone notify_nova_on_port_status_changes = true notify_nova_on_port_data_changes = true [database] connection = mysql+pymysql://neutron:sonic@controller/neutron [keystone_authtoken] # # From keystonemiddleware.auth_token # ...
running_deleted_instance_action=reap running_deleted_instance_poll_interval=120 resize_confirm_window=5 resume_guests_state_on_host_boot=true rpc_backend=nova.openstack.common.rpc.impl_kombu rabbit_host=192.168.0.31 rabbit_port=5672 rabbit_userid=guest rabbit_password=admin logdir=C:\OpenStack\Log...
::1 localhost localhost.localdomain localhost6 localhost6.localdomain6 192.168.10.10 controller# ping通,解析正常[root@controller ~]# ping controllerPING controller (192.168.10.10) 56(84) bytes of data. 64 bytes from controller (192.168.10.10): icmp_seq=1 ttl=64 time=0.036 ms 64 bytes from con...
loadbalance: strategy: name: RoundRobin #The polling mode is enabled. Add the following dependency to the POM file: <dependency> <groupId>org.apache.servicecomb</groupId> <artifactId>handler-loadbalance</artifactId> <version>${project.version}</version> ...
loadbalance: strategy: name: RoundRobin #The polling mode is enabled. Add the following dependency to the POM file: <dependency> <groupId>org.apache.servicecomb</groupId> <artifactId>handler-loadbalance</artifactId> <version>${project.version}</version> ...
# /etc/neutron/neutron.conf [DEFAULT] core_plugin = ml2 service_plugins = router allow_overlapping_ips = true transport_url = rabbit://openstack:fanguiju@controller auth_strategy = keystone notify_nova_on_port_status_changes = true notify_nova_on_port_data_changes = true [database] connect...
[database] connection = mysql+pymysql://cinder:123456@controller/cinder [DEFAULT] transport_url = rabbit://openstack:123456@controller auth_strategy = keystone my_ip = 10.0.0.11 [keystone_authtoken] auth_uri = http://controller:5000 auth_url = http://controller:35357 memcached_servers = ...
SOFARegistry 对于服务数据是分片进行存储的,因此每一个 data server 只会承担一部分的服务数据,具体哪份数据存储在哪个 data server 是有一个称为 SlotTable 的路由表提供的,session 可以通过 SlotTable 对对应的 data derver 进行读写服务数据, slot 对应的 data follower 可以通过 SlotTable 寻址 leader 进行数...
( model_fp, learning_rate=3e-5, per_device_train_batch_size=batch_size, per_device_eval_batch_size=batch_size, weight_decay=0.01, evaluation_strategy=IntervalStrategy.STEPS, eval_steps=100, max_steps=4000, load_best_model_at_end=True, metric_for_best_model='f1', save_total_limit=5, ...
Your strategy for polling is not very efficient. Futures and Streams can notify the executor when data via the Context, but you are simply using a loop with a fixed interval. This is bad if the interval is too large since stuff may be ready much earlier than you check for, but i...