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    • 3. 发明授权
    • Use of similarity hash to route data for improved deduplication in a storage server cluster
    • 使用相似性哈希来路由数据,以改善存储服务器集群中的重复数据删除
    • US08607017B2
    • 2013-12-10
    • US13619826
    • 2012-09-14
    • Michael N. Condict
    • Michael N. Condict
    • G06F12/00
    • G06F3/0641G06F3/0608G06F3/067G06F17/30159G06F2206/1012H04L67/1095
    • A technique for routing data for deduplication in a storage server cluster includes computing, for each node in the cluster, a value collectively representative of the data stored on the node, such as a “geometric center” of the node. New or modified data is routed to the node which has stored data identical or most similar to the new or modified data, as determined based on those values. Each node stores a plurality of chunks of data, where each chunk includes multiple deduplication segments. A content hash is computed for each deduplication segment in each node, and a similarity hash is computed for each chunk from the content hashes of all segments in the chunk. A geometric center of a node is computed from the similarity hashes of the chunks stored in the node.
    • 用于在存储服务器集群中路由用于重复数据消除的数据的技术包括针对集群中的每个节点计算共同表示存储在节点上的数据的值,例如节点的“几何中心”。 新的或修改的数据被路由到已经存储与基于这些值确定的新的或修改的数据相同或最相似的数据的节点。 每个节点存储多个数据块,其中每个块包括多个重复数据删除段。 为每个节点中的每个重复数据消除段计算内容散列,并且从块中的所有段的内容散列为每个块计算相似性散列。 从节点中存储的块的相似度哈希计算节点的几何中心。
    • 8. 发明授权
    • Use of similarity hash to route data for improved deduplication in a storage server cluster
    • 使用相似性哈希来路由数据,以改善存储服务器集群中的重复数据删除
    • US08321648B2
    • 2012-11-27
    • US12606088
    • 2009-10-26
    • Michael N. Condict
    • Michael N. Condict
    • G06F12/00
    • G06F3/0641G06F3/0608G06F3/067G06F17/30159G06F2206/1012H04L67/1095
    • A technique for routing data for deduplication in a storage server cluster includes computing, for each node in the cluster, a value collectively representative of the data stored on the node, such as a “geometric center” of the node. New or modified data is routed to the node which has stored data identical or most similar to the new or modified data, as determined based on those values. Each node stores a plurality of chunks of data, where each chunk includes multiple deduplication segments. A content hash is computed for each deduplication segment in each node, and a similarity hash is computed for each chunk from the content hashes of all segments in the chunk. A geometric center of a node is computed from the similarity hashes of the chunks stored in the node.
    • 用于在存储服务器集群中路由用于重复数据消除的数据的技术包括针对集群中的每个节点计算共同表示存储在节点上的数据(例如节点的几何中心)的值。 新的或修改的数据被路由到已经存储与基于这些值确定的新的或修改的数据相同或最相似的数据的节点。 每个节点存储多个数据块,其中每个块包括多个重复数据删除段。 为每个节点中的每个重复数据消除段计算内容散列,并且从块中的所有段的内容散列为每个块计算相似性散列。 从节点中存储的块的相似度哈希计算节点的几何中心。
    • 9. 发明申请
    • Use of Similarity Hash to Route Data for Improved Deduplication in a Storage Server Cluster
    • 使用相似性哈希来在存储服务器群集中路由数据以改进重复数据删除
    • US20110099351A1
    • 2011-04-28
    • US12606088
    • 2009-10-26
    • Michael N. Condict
    • Michael N. Condict
    • G06F12/08
    • G06F3/0641G06F3/0608G06F3/067G06F17/30159G06F2206/1012H04L67/1095
    • A technique for routing data for improved deduplication in a storage server cluster includes computing, for each node in the cluster, a value collectively representative of the data stored on the node, such as a “geometric center” of the node. New or modified data is routed to the node which has stored data identical or most similar to the new or modified data, as determined based on those values. Each node stores a plurality of chunks of data, where each chunk includes multiple deduplication segments. A content hash is computed for each deduplication segment in each node, and a similarity hash is computed for each chunk from the content hashes of all segments in the chunk. A geometric center of a node is computed from the similarity hashes of the chunks stored in the node.
    • 用于路由数据以在存储服务器集群中改进重复数据消除的技术包括针对集群中的每个节点计算共同表示存储在节点上的数据(例如节点的“几何中心”)的值。 新的或修改的数据被路由到已经存储与基于这些值确定的新的或修改的数据相同或最相似的数据的节点。 每个节点存储多个数据块,其中每个块包括多个重复数据删除段。 为每个节点中的每个重复数据消除段计算内容散列,并且从块中的所有段的内容散列为每个块计算相似性散列。 从节点中存储的块的相似度哈希计算节点的几何中心。