Failover mechanism in a distributed computing system
    1.
    发明授权
    Failover mechanism in a distributed computing system 有权
    分布式计算系统中的故障转移机制

    公开(公告)号:US09367410B2

    公开(公告)日:2016-06-14

    申请号:US14484618

    申请日:2014-09-12

    Applicant: Facebook, Inc.

    Abstract: The disclosure is directed to failover mechanisms in a distributed computing system. A region of data is managed by multiple region servers. One of the region servers is elected as a “leader” and the remaining are “followers.” The leader serves the read/write requests from a client. The leader writes the data received from the client into the in-memory store and a local write-ahead log (“WAL”), and synchronously replicates the WAL to the followers. A region server designated as an “active” region server synchronizes a distributed data store with the data from the WAL. Active witness followers apply the data from the WAL to their in-memory store while shadow witness followers do not. Different types of servers provide failover mechanisms with different characteristics. A leader is elected based on their associated ranks—higher the rank, higher the likelihood of electing itself as a leader.

    Abstract translation: 本公开涉及分布式计算系统中的故障切换机制。 数据区域由多个区域服务器管理。 其中一个区域服务器被选为“领导者”,其余的是“追随者”。领导者服务于客户端的读/写请求。 领导者将从客户端收到的数据写入内存中的存储和本地预写日志(“WAL”),同时将WAL复制到关注者。 指定为“活动”区域服务器的区域服务器将分布式数据存储与来自WAL的数据进行同步。 活跃的见证追随者将WAL中的数据应用到内存中,而影子见证追随者则不会。 不同类型的服务器提供具有不同特征的故障切换机制。 一个领导人是根据他们相关的职级选出的 - 排名越高,选举自己作为领导者的可能性就越高。

    FAILOVER MECHANISM IN A DISTRIBUTED COMPUTING SYSTEM
    2.
    发明申请
    FAILOVER MECHANISM IN A DISTRIBUTED COMPUTING SYSTEM 有权
    分布式计算系统中的故障机制

    公开(公告)号:US20160077936A1

    公开(公告)日:2016-03-17

    申请号:US14484618

    申请日:2014-09-12

    Applicant: Facebook, Inc.

    Abstract: The disclosure is directed to failover mechanisms in a distributed computing system. A region of data is managed by multiple region servers. One of the region servers is elected as a “leader” and the remaining are “followers.” The leader serves the read/write requests from a client. The leader writes the data received from the client into the in-memory store and a local write-ahead log (“WAL”), and synchronously replicates the WAL to the followers. A region server designated as an “active” region server synchronizes a distributed data store with the data from the WAL. Active witness followers apply the data from the WAL to their in-memory store while shadow witness followers do not. Different types of servers provide failover mechanisms with different characteristics. A leader is elected based on their associated ranks—higher the rank, higher the likelihood of electing itself as a leader.

    Abstract translation: 本公开涉及分布式计算系统中的故障切换机制。 数据区域由多个区域服务器管理。 其中一个区域服务器被选为“领导者”,其余的是“追随者”。领导者服务于客户端的读/写请求。 领导者将从客户端收到的数据写入内存中的存储和本地预写日志(“WAL”),同时将WAL复制到关注者。 指定为“活动”区域服务器的区域服务器将分布式数据存储与来自WAL的数据进行同步。 活跃的见证追随者将WAL中的数据应用到内存中,而影子见证追随者则不会。 不同类型的服务器提供具有不同特征的故障切换机制。 一个领导人是根据他们相关的职级选出的 - 排名越高,选举自己作为领导者的可能性就越高。

    FAILOVER MECHANISM IN A DISTRIBUTED COMPUTING SYSTEM

    公开(公告)号:US20160253249A1

    公开(公告)日:2016-09-01

    申请号:US15152769

    申请日:2016-05-12

    Applicant: Facebook, Inc.

    Abstract: The disclosure is directed to failover mechanisms in a distributed computing system. A region of data is managed by multiple region servers. One of the region servers is elected as a “leader” and the remaining are “followers.” The leader serves the read/write requests from a client. The leader writes the data received from the client into the in-memory store and a local write-ahead log (“WAL”), and synchronously replicates the WAL to the followers. A region server designated as an “active” region server synchronizes a distributed data store with the data from the WAL. Active witness followers apply the data from the WAL to their in-memory store while shadow witness followers do not. Different types of servers provide failover mechanisms with different characteristics. A leader is elected based on their associated ranks—higher the rank, higher the likelihood of electing itself as a leader.

Patent Agency Ranking