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1. 发明申请

US20110125719A1 EFFICIENT SEGMENT DETECTION FOR DEDUPLICATION 有权
标题翻译：有效的分段检测
公开(公告)号：US20110125719A1
公开(公告)日：2011-05-26
申请号：US12624280
申请日：2009-11-23
申请人： Vinod Jayaraman
发明人： Vinod Jayaraman
IPC分类号： G06F17/30
CPC分类号： G06F17/30156 , G06F17/30159
摘要： Mechanisms are provided for efficiently detecting segments for deduplication. Data is analyzed to determine file types and file components. File types such as images may have optimal data segment boundaries set at the file boundaries. Other file types such as container files are delayered to extract objects to set optimal data segment boundaries based on file type or based on the boundaries of the individual objects. Storage of unnecessary information is minimized in a deduplication dictionary while allowing for effective deduplication.
摘要翻译：提供了有效检测重复数据删除部分的机制。分析数据以确定文件类型和文件组件。诸如图像的文件类型可能具有在文件边界设置的最佳数据段边界。其他文件类型（如容器文件）被延迟以提取对象，以根据文件类型或基于各个对象的边界设置最佳数据段边界。在重复数据删除字典中，不必要的信息的存储被最小化，同时允许有效的重复数据删除。

2. 发明申请

US20090289819A1 EFFICIENT DATA COMPRESSION & DECOMPRESSION OF NUMERIC SEQUENCES 有权
标题翻译：有效的数据压缩和解码数字序列
公开(公告)号：US20090289819A1
公开(公告)日：2009-11-26
申请号：US12470469
申请日：2009-05-21
申请人： Matthew Mahoney
发明人： Matthew Mahoney
IPC分类号： H03M7/34
CPC分类号： H03M7/24 , H03M7/4006
摘要： Embodiments described herein relate to compression and decompression of data consisting of a one dimensional time series of floating point numbers. A compressor may comprise a lossless stage and in some embodiments a lossy stage in addition to the lossless stage. The lossy stage quantizes the data by discarding some of the least significant bits as specified by the user. The lossless stage uses a context mixing algorithm with two bit-wise predictive models whose predictions are combined and fed to an arithmetic coder. One model is a direct context model using the most significant bits of prior numeric samples as context. The other model is the output of an adaptive filter, in which the approximate predicted numeric value is used as context to model the actual value. A corresponding decompressor uses the same lossless model with the arithmetic coder replaced by an arithmetic decoder.
摘要翻译：本文描述的实施例涉及由一维时间序列的浮点数组成的数据的压缩和解压缩。压缩机可以包括无损阶段，并且在一些实施例中，除了无损阶段之外还包括有损阶段。有损阶段通过丢弃由用户指定的一些最低有效位来量化数据。无损阶段使用具有两个逐位预测模型的上下文混合算法，其预测被组合并被馈送到算术编码器。一个模型是使用现有数字样本的最高有效位作为上下文的直接上下文模型。另一个模型是自适应滤波器的输出，其中将近似预测数值用作对实际值进行建模的上下文。对应的解压缩器使用与算术解码器替换的算术编码器相同的无损模型。

3. 发明申请

US20090240718A1 DEFLATE FILE DATA OPTIMIZATION 有权
标题翻译：定义文件数据优化
公开(公告)号：US20090240718A1
公开(公告)日：2009-09-24
申请号：US12053251
申请日：2008-03-21
申请人： Goutham Rao , Eric Brueggemann
发明人： Goutham Rao , Eric Brueggemann
IPC分类号： G06F17/30
CPC分类号： H04L67/06
摘要： Mechanisms are provided for optimizing file data compressed using deflate mechanisms such as the ZLIB Compressed Data Format Specification and the DEFLATE Compressed Data Format Specification. Deflate mechanisms output different deflate file data depending on specific file data parameters. An optimization tool decompresses the deflate file data and outputs an optimized data stream. When a client application attempts to access the deflate data, the tool deoptimizes the optimized data stream and applies the same deflate algorithm to generate deflate file data. Although the deflate algorithm is applied without using the file data parameters used to generate the original deflate file data, substitute deflate file data is produced.
摘要翻译：提供了用于优化使用缩排机制压缩的文件数据的机制，例如ZLIB压缩数据格式规范和DEFLATE压缩数据格式规范。放气机制根据具体的文件数据参数输出不同的排气文件数据。优化工具解压缩放气文件数据并输出优化的数据流。当客户端应用程序尝试访问放气数据时，该工具会优化优化的数据流，并应用相同的放气算法来生成放气文件数据。虽然在不使用用于生成原始放气文件数据的文件数据参数的情况下应用放气算法，但会产生替代放气文件数据。

4. 发明申请

US20110082840A1 SCALABLE MECHANISM FOR DETECTION OF COMMONALITY IN A DEDUPLICATED DATA SET 有权
标题翻译：用于检测重复数据集中的共同性的可扩展机制
公开(公告)号：US20110082840A1
公开(公告)日：2011-04-07
申请号：US12574580
申请日：2009-10-06
申请人： Vinod Jayaraman
发明人： Vinod Jayaraman
IPC分类号： G06F17/30
CPC分类号： G06F17/30156 , G06F11/1453 , G06F17/30371
摘要： Mechanisms are provided for efficiently determining commonality in a deduplicated data set in a scalable manner regardless of the number of deduplicated files or the number of stored segments. Information is generated and maintained during deduplication to allow scalable and efficient determination of data segments shared in a particular file, other files sharing data segments included in a particular file, the number of files sharing a data segment, etc. Data need not be expanded or uncompressed. Deduplication processing can be validated and verified during commonality detection.
摘要翻译：提供了用于以可缩放的方式有效地确定重复数据删除的数据集中的共性的机制，而不管重复数据删除的文件的数量或存储的段的数量。在重复数据消除期间生成和维护信息，以允许对特定文件中共享的数据段进行可扩展和有效的确定，共享特定文件中包含的数据段的其他文件，共享数据段的文件数等。数据不需要扩展或未压缩重复数据删除处理可以在通用检测期间进行验证和验证。

5. 发明申请

US20100094813A1 REPRESENTING AND STORING AN OPTIMIZED FILE SYSTEM USING A SYSTEM OF SYMLINKS, HARDLINKS AND FILE ARCHIVES 有权
标题翻译：使用SYMLINKS，HARDLINKS和FILE ARCHIVES系统代表和存储优化的文件系统
公开(公告)号：US20100094813A1
公开(公告)日：2010-04-15
申请号：US12573690
申请日：2009-10-05
申请人： Eric Brueggemann , Goutham Rao , Mark Taylor , Murali Bashyam , Hui Huang
发明人： Eric Brueggemann , Goutham Rao , Mark Taylor , Murali Bashyam , Hui Huang
IPC分类号： G06F17/30
CPC分类号： G06F17/30156
摘要： A data de-duplication system is used with network attached storage and serves to reduce data duplication and file storage costs. Techniques utilizing both symlinks and hardlinks ensure efficient deletion file/data cleanup and avoid data loss in the event of crashes.
摘要翻译：数据重复数据删除系统与网络附加存储一起使用，可用于减少数据重复和文件存储成本。使用符号链接和硬链接的技术可确保有效的删除文件/数据清理，并避免在发生崩溃时丢失数据。

6. 发明申请

US20090216774A1 VIRTUALIZATION OF METADATA FOR FILE OPTIMIZATION 有权
标题翻译：用于文件优化的元数据的虚拟化
公开(公告)号：US20090216774A1
公开(公告)日：2009-08-27
申请号：US12038219
申请日：2008-02-27
申请人： Goutham Rao , Eric Brueggemann , Murali Bashyam , Carter George , Mark Taylor
发明人： Goutham Rao , Eric Brueggemann , Murali Bashyam , Carter George , Mark Taylor
IPC分类号： G06F17/30
CPC分类号： G06F17/30156 , G06F11/1453 , G06F17/30153 , G06F17/30353
摘要： Mechanisms are provided for optimizing files while allowing application servers access to metadata associated with preoptimized versions of the files. During file optimization involving compression and/or compaction, file metadata changes. In order to allow file optimization in a manner transparent to application servers, the metadata associated with preoptimized versions of the files is maintained in a metadata database as well as in an optimized version of the files themselves.
摘要翻译：提供了优化文件的机制，同时允许应用程序服务器访问与优化版本的文件相关联的元数据。在涉及压缩和/或压缩的文件优化过程中，文件元数据更改。为了以对应用服务器透明的方式允许文件优化，与文件的优化版本相关联的元数据被保存在元数据数据库以及文件本身的优化版本中。

7. 发明申请

US20110071989A1 FILE AWARE BLOCK LEVEL DEDUPLICATION 有权
标题翻译： FILE AWARE BLACK LEVEL DEDUPLICATION
公开(公告)号：US20110071989A1
公开(公告)日：2011-03-24
申请号：US12858258
申请日：2010-08-17
申请人： Mike Wilson , Parthiban Munusamy , Carter George , Murali Bashyam , Vinod Jayaraman , Goutham Rao
发明人： Mike Wilson , Parthiban Munusamy , Carter George , Murali Bashyam , Vinod Jayaraman , Goutham Rao
IPC分类号： G06F17/30
CPC分类号： G06F17/30156 , G06F11/1446 , G06F17/2247 , G06F17/30067 , G06F17/30575
摘要： A system provides file aware block level deduplication in a system having multiple clients connected to a storage subsystem over a network such as an Internet Protocol (IP) network. The system includes client components and storage subsystem components. Client components include a walker that traverses the namespace looking for files that meet the criteria for optimization, a file system daemon that rehydrates the files, and a filter driver that watches all operations going to the file system. Storage subsystem components include an optimizer resident on the nodes of the storage subsystem. The optimizer can use idle processor cycles to perform optimization. Sub-file compression can be performed at the storage subsystem.
摘要翻译：系统在具有通过诸如因特网协议（IP）网络的网络连接到存储子系统的多个客户端的系统中提供文件感知块级重复数据删除。该系统包括客户端组件和存储子系统组件。客户端组件包括遍历命名空间的步行器，寻找满足优化条件的文件，重新水化文件的文件系统守护程序以及监视文件系统的所有操作的过滤器驱动程序。存储子系统组件包括驻留在存储子系统节点上的优化器。优化器可以使用空闲处理器周期执行优化。可以在存储子系统中执行子文件压缩。

8. 发明申请

US20080050027A1 Methods and Apparatus for Reducing Storage Size 有权
公开(公告)号：US20080050027A1
公开(公告)日：2008-02-28
申请号：US11774310
申请日：2007-07-06
申请人： Murali Bashyam , Goutham Rao , Carter George , Eric Brueggemann
发明人： Murali Bashyam , Goutham Rao , Carter George , Eric Brueggemann
IPC分类号： G06K9/36
CPC分类号： H04N19/42 , H04N19/13 , H04N19/132 , H04N19/17 , H04N19/184 , H04N19/60
摘要： Prediction-based compression engines are spoon-fed with sequentially efficiently compressible (SEC) streams of input data that make it possible for the compression engines to more efficiently compress or otherwise compact the incoming data than would be possible with streams of input data accepted on a TV-raster scan basis. Various techniques are disclosed for intentionally forming SEC input data streams. Among these are the tight packing of alike files or fragments into concatenation suitcases and the decomposition of files into substantially predictably consistent (SPC) fragments or segments that are routed to different suitcases according to their type. In a graphics-directed embodiment, image frames are partitioned into segment areas that are internally SPC and multidirectional walks (i.e., U-turning walks) are defined in the segment areas where these defined walks are traced during compression and also during decompression. A variety of pre-compression data transformation methods are disclosed for causing apparently random data sequences to appear more compressibly alike to each other. The methods are usable in systems that permit substantially longer times for data compaction operations than for data decompaction operations.

9. 发明申请

US20080050026A1 Methods and Apparatus for Reducing Storage Size 有权
公开(公告)号：US20080050026A1
公开(公告)日：2008-02-28
申请号：US11774297
申请日：2007-07-06
申请人： Murali Bashyam , Goutham Rao , Carter George , Eric Brueggemann
发明人： Murali Bashyam , Goutham Rao , Carter George , Eric Brueggemann
IPC分类号： G06K9/36
CPC分类号： G06T9/002 , G06T9/001 , G06T9/004 , G06T9/005 , G06T9/20 , H04N19/119 , H04N19/124 , H04N19/129 , H04N19/132 , H04N19/136 , H04N19/172 , H04N19/176 , H04N19/182 , H04N19/20 , H04N19/23 , H04N19/593 , H04N19/91 , H04N19/94 , H04N19/97
摘要： Prediction-based compression engines are spoon-fed with sequentially efficiently compressible (SEC) streams of input data that make it possible for the compression engines to more efficiently compress or otherwise compact the incoming data than would be possible with streams of input data accepted on a TV-raster scan basis. Various techniques are disclosed for intentionally forming SEC input data streams. Among these are the tight packing of alike files or fragments into concatenation suitcases and the decomposition of files into substantially predictably consistent (SPC) fragments or segments that are routed to different suitcases according to their type. In a graphics-directed embodiment, image frames are partitioned into segment areas that are internally SPC and multidirectional walks (i.e., U-turning walks) are defined in the segment areas where these defined walks are traced during compression and also during decompression. A variety of pre-compression data transformation methods are disclosed for causing apparently random data sequences to appear more compressibly alike to each other. The methods are usable in systems that permit substantially longer times for data compaction operations than for data decompaction operations.

10. 发明授权

US07864083B2 Efficient data compression and decompression of numeric sequences 有权
标题翻译：数字序列的高效数据压缩和解压缩
公开(公告)号：US07864083B2
公开(公告)日：2011-01-04
申请号：US12470469
申请日：2009-05-21
申请人： Matthew Mahoney
发明人： Matthew Mahoney
IPC分类号： H03M7/30
CPC分类号： H03M7/24 , H03M7/4006
摘要： Embodiments described herein relate to compression and decompression of data consisting of a one dimensional time series of floating point numbers. A compressor may comprise a lossless stage and in some embodiments a lossy stage in addition to the lossless stage. The lossy stage quantizes the data by discarding some of the least significant bits as specified by the user. The lossless stage uses a context mixing algorithm with two bit-wise predictive models whose predictions are combined and fed to an arithmetic coder. One model is a direct context model using the most significant bits of prior numeric samples as context. The other model is the output of an adaptive filter, in which the approximate predicted numeric value is used as context to model the actual value. A corresponding decompressor uses the same lossless model with the arithmetic coder replaced by an arithmetic decoder.
摘要翻译：本文描述的实施例涉及由一维时间序列的浮点数组成的数据的压缩和解压缩。压缩机可以包括无损阶段，并且在一些实施例中，除了无损阶段之外还包括有损阶段。有损阶段通过丢弃由用户指定的一些最低有效位来量化数据。无损阶段使用具有两个逐位预测模型的上下文混合算法，其预测被组合并被馈送到算术编码器。一个模型是使用现有数字样本的最高有效位作为上下文的直接上下文模型。另一个模型是自适应滤波器的输出，其中将近似预测数值用作对实际值进行建模的上下文。对应的解压缩器使用与算术解码器替换的算术编码器相同的无损模型。

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