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    • 2. 发明授权
    • Method and apparatus for selecting an optimal delete-safe compression method on list of delta encoded integers
    • 用于在增量编码整数列表上选择最佳删除安全压缩方法的方​​法和装置
    • US08990173B2
    • 2015-03-24
    • US12056979
    • 2008-03-27
    • Bishwaranjan BhattacharjeeLipyeow LimTimothy Ray MalkemusGeorge Andrei Mihaila
    • Bishwaranjan BhattacharjeeLipyeow LimTimothy Ray MalkemusGeorge Andrei Mihaila
    • G06F7/00H03M7/30
    • H03M7/30
    • Techniques are disclosed for selecting a delete-safe compression method for a plurality of delta encoded data values (e.g., delta encoded integers or deltas). For example, a computer-implemented method for selecting an optimal delete-safe compression algorithm from among two or more compression algorithms for use on a plurality of delta encoded data values includes the following steps. The maximum number of data values eliminated by each of the two or more compression algorithms is computed. For the plurality of delta encoded data values to be compressed, the minimum size of the plurality of delta encoded data values before compression thereof is computed. A delete-safe threshold value is computed based on the minimum size of the plurality of delta encoded data values. Then, the compression algorithm is selected from the two or more compression algorithms that achieves the delete-safe threshold value.
    • 公开了用于为多个增量编码的数据值(例如,增量编码的整数或三角形)选择删除安全的压缩方法的技术。 例如,用于从用于多个增量编码数据值的两个或更多个压缩算法中选择最佳删除安全压缩算法的计算机实现的方法包括以下步骤。 计算由两个或更多个压缩算法中的每一个消除的数据值的最大数目。 对于要压缩的多个delta编码数据值,计算其压缩之前的多个Δ编码数据值的最小大小。 基于多个增量编码数据值的最小大小来计算删除安全阈值。 然后,从实现删除安全​​阈值的两个或更多个压缩算法中选择压缩算法。
    • 3. 发明授权
    • Method and system to store RDF data in a relational store
    • 在关系存储中存储RDF数据的方法和系统
    • US08458191B2
    • 2013-06-04
    • US12724211
    • 2010-03-15
    • Bishwaranjan BhattacharjeeKavitha SrinivasOctavian Udrea
    • Bishwaranjan BhattacharjeeKavitha SrinivasOctavian Udrea
    • G06F7/00G06F17/30
    • G06F17/30595
    • A method (and structure) of storing schema-less data of a dataset in a relational database, includes constructing a hash table for the schema-less data, using a processor on a computer. Data in the dataset is stored in a tuple format including a subject along with at least one other entity associated to the subject. Each row of the hashtable will be dedicated to a subject of the dataset, and at least one of the at least one other entity associated with the subject in the row is to be stored in a pair-wise manner in that row of the hashtable. In an exemplary embodiment, RDF data that uses triples (subject, predicate, object) is stored with the predicate/object stored in the pair-wise manner in its associated subject row.
    • 一种在关系数据库中存储数据集的无模式数据的方法(和结构)包括使用计算机上的处理器来构建无模式数据的散列表。 数据集中的数据以包含主题的元组格式以及至少一个与对象关联的其他实体存储。 哈希表的每一行将专用于数据集的主题,并且与行中的主题相关联的至少一个其他实体中的至少一个将以成对方式存储在散列表的该行中。 在示例性实施例中,使用三元组(主题,谓词,对象)的RDF数据与以关联对象行中的成对方式存储的谓词/对象一起存储。
    • 8. 发明授权
    • Managing database object placement on multiple storage devices
    • 管理多个存储设备上的数据库对象放置
    • US09165021B2
    • 2015-10-20
    • US12423247
    • 2009-04-14
    • Bishwaranjan BhattacharjeeMustafa CanimGeorge Andrei Mihaila
    • Bishwaranjan BhattacharjeeMustafa CanimGeorge Andrei Mihaila
    • G06F7/00G06F17/30
    • G06F17/30312G06F17/30424G06F17/30864
    • A method, information processing system, and computer program storage product optimize the placement of database objects on a multiplicity of storage devices. A set of database objects are placed on a first storage device in a multiplicity of storage devices. Each storage device comprises differing characteristics. A query workload is run on the set of database objects that have been placed on the first storage device. Profiling information associated with the query workload that is running is collected. A subset of database objects is selected from the set of the database objects to be stored on a second storage device. The second storage device is a separate physical device from, and performs faster than, the first storage device. The subset of database objects is stored on the second storage device and all remaining database objects in the set of database objects on the first storage device.
    • 一种方法,信息处理系统和计算机程序存储产品优化数据库对象在多个存储设备上的放置。 一组数据库对象被放置在多个存储设备中的第一存储设备上。 每个存储设备包括不同的特征。 在已经放置在第一个存储设备上的数据库对象集上运行查询工作负载。 收集与正在运行的查询工作负载相关联的分析信息。 从要存储在第二存储设备上的数据库对象的集合中选择数据库对象的子集。 第二存储设备是与第一存储设备不同的并且执行得比第一存储设备更快的单独的物理设备。 数据库对象的子集存储在第二存储设备上,并且存储在第一存储设备上的数据库对象集合中的所有剩余的数据库对象。
    • 9. 发明授权
    • Method and apparatus for encoding list of variable length structures to support bi-directional scans
    • 用于编码可变长度结构列表以支持双向扫描的方法和装置
    • US08126929B2
    • 2012-02-28
    • US12057012
    • 2008-03-27
    • Bishwaranjan BhattacharjeeLipyeow LimTimothy Ray MalkemusGeorge Andrei Mihaila
    • Bishwaranjan BhattacharjeeLipyeow LimTimothy Ray MalkemusGeorge Andrei Mihaila
    • G06F17/30
    • G06F17/30958G06F17/30286
    • Techniques are disclosed for encoding a variable length structure such that it facilitates forward and reverse scans of a list of such structures as needed. While the techniques are applicable to a wide variety of applications, they are particularly well-suited for use with structures such as those found in compressed database indexes. For example, a computer-implemented method for processing one or more variable length data structures includes the following steps. Each variable length data structure is obtained. Each variable length structure comprises one or more data block. A variable length encoding process is applied to the one or more blocks of each variable length data structure which comprises setting a continuation data value in each block to a first value or a second value, wherein the setting of the continuation data values enables bi-directional scanning of each variable length structure.
    • 公开了用于编码可变长度结构的技术,使得其有助于正向和反向扫描所需的这种结构的列表。 虽然这些技术适用于各种各样的应用,但它们特别适用于诸如在压缩数据库索引中发现的结构。 例如,用于处理一个或多个可变长度数据结构的计算机实现的方法包括以下步骤。 获得每个可变长度数据结构。 每个可变长度结构包括一个或多个数据块。 可变长度编码处理被应用于每个可变长度数据结构的一个或多个块,其包括将每个块中的连续数据值设置为第一值或第二值,其中,连续数据值的设置允许双向 扫描每个可变长度结构。
    • 10. 发明授权
    • Speed selective table scan operation
    • 速度选择表扫描操作
    • US07937541B2
    • 2011-05-03
    • US11548889
    • 2006-10-12
    • Bishwaranjan BhattacharjeeChristian A. LangTimothy R. MalkemusSriram PadmanabhanKwai Wong
    • Bishwaranjan BhattacharjeeChristian A. LangTimothy R. MalkemusSriram PadmanabhanKwai Wong
    • G06F12/06
    • G06F12/0866G06F12/123G06F17/30448
    • Disclosed are a method, information processing system, and computer readable medium for scanning a storage medium table. The method includes retrieving location information associated with at least one other storage medium table scan. A storage medium table scan is started at a location within a storage medium table based on at least a location of the one other storage medium table scan. A weight is assigned to at least one storage medium block based on at least a current scanning location within the storage medium table relative to the location of the one other table scan. The method determines if a distance between the current scanning location and the location of the one other table scan is greater than a first given threshold. A current scanning operation is delayed, in response to the distance being greater than the given threshold, until the distance is below a second given threshold.
    • 公开了一种用于扫描存储介质表的方法,信息处理系统和计算机可读介质。 该方法包括检索与至少一个其他存储介质表扫描相关联的位置信息。 基于至少另一个存储介质表扫描的位置,在存储介质表中的位置处开始存储介质表扫描。 基于至少一个存储介质表中的当前扫描位置相对于另一个表扫描的位置,将权重分配给至少一个存储介质块。 该方法确定当前扫描位置与另一个表扫描的位置之间的距离是否大于第一给定阈值。 响应于距离大于给定阈值,当前扫描操作被延迟,直到距离低于第二给定阈值。