公开(公告)号：US09323775B2

公开(公告)日：2016-04-26

申请号：US13162439

申请日：2011-06-16

申请人： Mandayam C. Srivas ,  Pindikura Ravindra ,  Uppaluri Vijaya Saradhi ,  Arvind Arun Pande ,  Chandra Guru Kiran Babu Sanapala ,  Lohit Vijaya Renu ,  Vivekanand Vellanki ,  Sathya Kavacheri ,  Amit Ashoke Hadke

发明人： Mandayam C. Srivas ,  Pindikura Ravindra ,  Uppaluri Vijaya Saradhi ,  Arvind Arun Pande ,  Chandra Guru Kiran Babu Sanapala ,  Lohit Vijaya Renu ,  Vivekanand Vellanki ,  Sathya Kavacheri ,  Amit Ashoke Hadke

IPC分类号： G06F17/30

CPC分类号： G06F17/30215 ,  G06F8/658 ,  G06F17/30067 ,  G06F17/30174 ,  G06F17/30194 ,  G06F17/30227 ,  G06F17/30312 ,  G06F17/30327 ,  G06F17/30345 ,  G06F17/30365 ,  G06F17/30371 ,  G06F17/30575 ,  G06F17/30581 ,  H04L65/102

摘要： A map-reduce compatible distributed file system that consists of successive component layers that each provide the basis on which the next layer is built provides transactional read-write-update semantics with file chunk replication and huge file-create rates. A primitive storage layer (storage pools) knits together raw block stores and provides a storage mechanism for containers and transaction logs. Storage pools are manipulated by individual file servers. Containers provide the fundamental basis for data replication, relocation, and transactional updates. A container location database allows containers to be found among all file servers, as well as defining precedence among replicas of containers to organize transactional updates of container contents. Volumes facilitate control of data placement, creation of snapshots and mirrors, and retention of a variety of control and policy information. Key-value stores relate keys to data for such purposes as directories, container location maps, and offset maps in compressed files.

摘要翻译： 由连续的组件层组成的map-reduce兼容分布式文件系统，每个组件层提供下一层构建的基础，提供具有文件块复制和巨大的文件创建速率的事务读写更新语义。 原始存储层（存储池）将原始块存储器编织在一起，并为容器和事务日志提供存储机制。 存储池由单独的文件服务器操纵。 容器为数据复制，重定位和事务更新提供了基础。 容器位置数据库允许在所有文件服务器之间找到容器，以及在容器的副本之间定义优先级以组织容器内容的事务性更新。 卷有助于控制数据放置，创建快照和镜像，以及保留各种控制和策略信息。 密钥值存储将密钥与数据相关联，用于压缩文件中的目录，容器位置映射和偏移映射。

公开(公告)号：US09207930B2

公开(公告)日：2015-12-08

申请号：US13340532

申请日：2011-12-29

申请人： Mandayam C. Srivas ,  Pindikura Ravindra ,  Uppaluri Vijaya Saradhi ,  Arvind Arun Pande ,  Chandra Guru Kiran Babu Sanapala ,  Lohit Vijaya Renu ,  Vivekanand Vellanki ,  Sathya Kavacheri ,  Amit Hadke

发明人： Mandayam C. Srivas ,  Pindikura Ravindra ,  Uppaluri Vijaya Saradhi ,  Arvind Arun Pande ,  Chandra Guru Kiran Babu Sanapala ,  Lohit Vijaya Renu ,  Vivekanand Vellanki ,  Sathya Kavacheri ,  Amit Hadke

IPC分类号： G06F17/30 ,  G06F9/44

CPC分类号： G06F17/30215 ,  G06F8/658 ,  G06F17/30067 ,  G06F17/30174 ,  G06F17/30194 ,  G06F17/30227 ,  G06F17/30312 ,  G06F17/30327 ,  G06F17/30345 ,  G06F17/30365 ,  G06F17/30371 ,  G06F17/30575 ,  G06F17/30581 ,  H04L65/102

摘要： A map-reduce compatible distributed file system that consists of successive component layers that each provide the basis on which the next layer is built provides transactional read-write-update semantics with file chunk replication and huge file-create rates. Containers provide the fundamental basis for data replication, relocation, and transactional updates. A container location database allows containers to be found among all file servers, as well as defining precedence among replicas of containers to organize transactional updates of container contents. Volumes facilitate control of data placement, creation of snapshots and mirrors, and retention of a variety of control and policy information. Also addressed is the use of distributed transactions in a map-reduce system; the use of local and distributed snapshots; replication, including techniques for reconciling the divergence of replicated data after a crash; and mirroring.

摘要翻译： 由连续的组件层组成的map-reduce兼容分布式文件系统，每个组件层提供下一层构建的基础，提供具有文件块复制和巨大的文件创建速率的事务读写更新语义。 容器为数据复制，重定位和事务更新提供了基础。 容器位置数据库允许在所有文件服务器之间找到容器，以及在容器的副本之间定义优先级以组织容器内容的事务性更新。 卷有助于控制数据放置，创建快照和镜像，以及保留各种控制和策略信息。 还解决了在地图缩减系统中使用分布式事务; 使用本地和分布式快照; 复制，包括在崩溃后调和复制数据的分歧的技术; 和镜像。

公开(公告)号：US20120101991A1

公开(公告)日：2012-04-26

申请号：US13340532

申请日：2011-12-29

申请人： Mandayam C. SRIVAS ,  Pindikura Ravindra ,  Uppaluri Vijaya Saradhi ,  Arvind Arun Pande ,  Chandra Guru Kiran Babu Sanapala ,  Lohit Vijaya Renu ,  Vivekanand Vellanki ,  Sathya Kavacheri ,  Amit Hadke

发明人： Mandayam C. SRIVAS ,  Pindikura Ravindra ,  Uppaluri Vijaya Saradhi ,  Arvind Arun Pande ,  Chandra Guru Kiran Babu Sanapala ,  Lohit Vijaya Renu ,  Vivekanand Vellanki ,  Sathya Kavacheri ,  Amit Hadke

IPC分类号： G06F17/30

CPC分类号： G06F17/30215 ,  G06F8/658 ,  G06F17/30067 ,  G06F17/30174 ,  G06F17/30194 ,  G06F17/30227 ,  G06F17/30312 ,  G06F17/30327 ,  G06F17/30345 ,  G06F17/30365 ,  G06F17/30371 ,  G06F17/30575 ,  G06F17/30581 ,  H04L65/102

摘要： A map-reduce compatible distributed file system that consists of successive component layers that each provide the basis on which the next layer is built provides transactional read-write-update semantics with file chunk replication and huge file-create rates. Containers provide the fundamental basis for data replication, relocation, and transactional updates. A container location database allows containers to be found among all file servers, as well as defining precedence among replicas of containers to organize transactional updates of container contents. Volumes facilitate control of data placement, creation of snapshots and mirrors, and retention of a variety of control and policy information. Also addressed is the use of distributed transactions in a map-reduce system; the use of local and distributed snapshots; replication, including techniques for reconciling the divergence of replicated data after a crash; and mirroring.

摘要翻译： 由连续的组件层组成的map-reduce兼容分布式文件系统，每个组件层提供下一层构建的基础，提供具有文件块复制和巨大的文件创建速率的事务读写更新语义。 容器为数据复制，重定位和事务更新提供了基础。 容器位置数据库允许在所有文件服务器之间找到容器，以及在容器的副本之间定义优先级以组织容器内容的事务性更新。 卷有助于控制数据放置，创建快照和镜像，以及保留各种控制和策略信息。 还解决了在地图缩减系统中使用分布式事务; 使用本地和分布式快照; 复制，包括在崩溃后调和复制数据的分歧的技术; 和镜像。

公开(公告)号：US20110313973A1

公开(公告)日：2011-12-22

申请号：US13162439

申请日：2011-06-16

申请人： Mandayam C. SRIVAS ,  Pindikura Ravindra ,  Uppaluri Vijaya Saradhi ,  Arvind Arun Pande ,  Chandra Guru Kiran Babu Sanapala ,  Lohit Vijaya Renu ,  Sathya Kavacheri ,  Amit Ashoke Hadke ,  Vivekanand Vellanki

发明人： Mandayam C. SRIVAS ,  Pindikura Ravindra ,  Uppaluri Vijaya Saradhi ,  Arvind Arun Pande ,  Chandra Guru Kiran Babu Sanapala ,  Lohit Vijaya Renu ,  Sathya Kavacheri ,  Amit Ashoke Hadke ,  Vivekanand Vellanki

IPC分类号： G06F17/30

CPC分类号： G06F17/30215 ,  G06F8/658 ,  G06F17/30067 ,  G06F17/30174 ,  G06F17/30194 ,  G06F17/30227 ,  G06F17/30312 ,  G06F17/30327 ,  G06F17/30345 ,  G06F17/30365 ,  G06F17/30371 ,  G06F17/30575 ,  G06F17/30581 ,  H04L65/102

摘要： A map-reduce compatible distributed file system that consists of successive component layers that each provide the basis on which the next layer is built provides transactional read-write-update semantics with file chunk replication and huge file-create rates. A primitive storage layer (storage pools) knits together raw block stores and provides a storage mechanism for containers and transaction logs. Storage pools are manipulated by individual file servers. Containers provide the fundamental basis for data replication, relocation, and transactional updates. A container location database allows containers to be found among all file servers, as well as defining precedence among replicas of containers to organize transactional updates of container contents. Volumes facilitate control of data placement, creation of snapshots and mirrors, and retention of a variety of control and policy information. Key-value stores relate keys to data for such purposes as directories, container location maps, and offset maps in compressed files.

摘要翻译： 由连续的组件层组成的map-reduce兼容分布式文件系统，每个组件层提供下一层构建的基础，提供具有文件块复制和巨大的文件创建速率的事务读写更新语义。 原始存储层（存储池）将原始块存储器编织在一起，并为容器和事务日志提供存储机制。 存储池由单独的文件服务器操纵。 容器为数据复制，重定位和事务更新提供了基础。 容器位置数据库允许在所有文件服务器之间找到容器，以及在容器的副本之间定义优先级以组织容器内容的事务性更新。 卷有助于控制数据放置，创建快照和镜像，以及保留各种控制和策略信息。 密钥值存储将密钥与数据相关联，用于压缩文件中的目录，容器位置映射和偏移映射。