Data replica selector
    23.
    发明授权
    Data replica selector 有权
    数据副本选择器

    公开(公告)号:US07778183B2

    公开(公告)日:2010-08-17

    申请号:US11676631

    申请日:2007-02-20

    IPC分类号: G08C15/00

    CPC分类号: H04Q3/0079

    摘要: A method is provided for selecting a replication node from eligible nodes in a network. A multidimensional model is constructed that defines a multidimensional space and includes the eligible nodes, with each of the dimensions of the multidimensional model being a system characteristic. A data availability value is determined for each of the eligible nodes, and a cost of deploying is determined for each of at least two availability strategies to the eligible nodes. At least one of the eligible nodes is selected for replication of data that is stored on a source node in the network. The selecting step includes selecting the eligible node whose: data availability value is determined to be highest among the eligible nodes whose cost of deploying does not exceed a specified maximum, or cost of deploying is determined to be lowest among the eligible nodes whose data availability value does not exceed a specified minimum.

    摘要翻译: 提供了一种从网络中的合格节点中选择复制节点的方法。 构建了一个多维模型,它定义了一个多维空间,并且包括合格的节点,多维模型的每个维度都是一个系统特征。 确定每个合格节点的数据可用性值,并且针对合格节点的至少两个可用性策略中的每一个确定部署成本。 选择至少一个合格节点用于复制存储在网络中的源节点上的数据。 所述选择步骤包括选择其数据可用性值被确定为在其部署成本不超过指定的最大值的合格节点中的数据可用性值最高的合格节点,或者在其数据可用性值的合格节点之间确定部署成本最低 不超过规定的最小值。

    DATA REPLICA SELECTOR
    24.
    发明申请
    DATA REPLICA SELECTOR 有权
    数据复制选择器

    公开(公告)号:US20080198752A1

    公开(公告)日:2008-08-21

    申请号:US11676631

    申请日:2007-02-20

    IPC分类号: G08C15/00

    CPC分类号: H04Q3/0079

    摘要: A method is provided for selecting a replication node from eligible nodes in a network. A multidimensional model is constructed that defines a multidimensional space and includes the eligible nodes, with each of the dimensions of the multidimensional model being a system characteristic. A data availability value is determined for each of the eligible nodes, and a cost of deploying is determined for each of at least two availability strategies to the eligible nodes. At least one of the eligible nodes is selected for replication of data that is stored on a source node in the network. The selecting step includes selecting the eligible node whose: data availability value is determined to be highest among the eligible nodes whose cost of deploying does not exceed a specified maximum, or cost of deploying is determined to be lowest among the eligible nodes whose data availability value does not exceed a specified minimum.

    摘要翻译: 提供了一种从网络中的合格节点中选择复制节点的方法。 构建了一个多维模型,它定义了一个多维空间,并且包括合格的节点,多维模型的每个维度都是一个系统特征。 确定每个合格节点的数据可用性值,并且针对合格节点的至少两个可用性策略中的每一个确定部署成本。 选择至少一个合格节点用于复制存储在网络中的源节点上的数据。 所述选择步骤包括选择其数据可用性值被确定为在其部署成本不超过指定的最大值的合格节点中的数据可用性值最高的合格节点,或者在其数据可用性值的合格节点之间确定部署成本最低 不超过规定的最小值。

    System and method for optimizing a storage system to support full utilization of storage space
    25.
    发明申请
    System and method for optimizing a storage system to support full utilization of storage space 审中-公开
    用于优化存储系统以支持充分利用存储空间的系统和方法

    公开(公告)号:US20060075007A1

    公开(公告)日:2006-04-06

    申请号:US10943397

    申请日:2004-09-17

    IPC分类号: G06F12/00

    摘要: A system and method for optimizing a storage system to support full utilization of storage space are provided. With the system and method, data objects/containers of data objects are assigned retention values when they are created. These retention values may be dynamically modified based on a modification function associated with the data objects/containers. When storage space needs to be freed for the storage of new data objects/containers, the retention values of existing data objects/containers provide a prioritization as to which data objects/containers should be deleted from the storage system and the order by which these data objects/containers are to be deleted to make available storage space for the new data objects/containers. The identification of the data objects/containers that are to be deleted may be based on a dynamically modified delete threshold, a sorted list of retention values, or the like.

    摘要翻译: 提供了一种用于优化存储系统以支持充分利用存储空间的系统和方法。 使用系统和方法,数据对象/数据对象的容器在创建时将被分配保留值。 可以基于与数据对象/容器相关联的修改功能来动态地修改这些保留值。 当需要释放存储空间以存储新的数据对象/容器时,现有数据对象/容器的保留值提供了从存储系统中删除哪些数据对象/容器以及这些数据的顺序的优先级 对象/容器将被删除,为新的数据对象/容器提供可用的存储空间。 要删除的数据对象/容器的标识可以基于动态修改的删除阈值,保留值的排序列表等。

    Optimizing a storage system to support short data lifetimes
    28.
    发明授权
    Optimizing a storage system to support short data lifetimes 失效
    优化存储系统以支持短数据生命周期

    公开(公告)号:US07958093B2

    公开(公告)日:2011-06-07

    申请号:US10944597

    申请日:2004-09-17

    IPC分类号: G06F17/00

    摘要: A system and method for optimizing a storage system to support short data object lifetimes and highly utilized storage space are provided. With the system and method, data objects are clustered based on when they are anticipated to be deleted. When an application stores data, the application provides an indicator of the expected lifetime of the data, which may be a retention value, a relative priority of the data object, or the like. Data objects having similar expected lifetimes are clustered together in common data structures so that clusters of objects may be deleted efficiently in a single operation. Expected lifetimes may be changed by applications automatically. The system automatically determines how to handle these changes in expected lifetime using one or more of copying the data object, reclassifying the container in which the data object is held, and ignoring the change in expected lifetime for a time to investigate further changes in expected lifetime of other data objects.

    摘要翻译: 提供一种用于优化存储系统以支持短数据对象寿命和高度利用的存储空间的系统和方法。 使用系统和方法,数据对象将基于何时被预先删除而进行聚类。 当应用程序存储数据时,应用程序提供数据的预期寿命的指示符,其可以是保留值,数据对象的相对优先级等。 具有相似的预期寿命的数据对象在公共数据结构中聚集在一起,使得可以在单个操作中有效地删除对象簇。 预期的使用寿命可能会自动更改。 系统自动确定如何使用一个或多个复制数据对象来重新分类数据对象所在的容器,并忽略预期生命周期的变化,以调查预期生命周期的进一步变化,以期如何处理预期生命周期中的这些更改 的其他数据对象。

    Automated dynamic negotiation of electronic service contracts

    公开(公告)号:US07490058B2

    公开(公告)日:2009-02-10

    申请号:US09821445

    申请日:2001-03-29

    IPC分类号: G06Q40/00

    摘要: A method for automating contract negotiation between a plurality of parties over a communications network. The parties communicate and agree upon a negotiation protocol before commencing the negotiation in a meta contract that is formed to govern or control the negotiation process. The automatic negotiation may include at least one sub negotiation. Machine-executable rules are specified to enable an automatic negotiation to take place between servers over a communications network. A successful negotiation may result in the formation of an electronic commerce contract. Each party may maintain the contract state of the overall negotiation, which may take place among two or more parties, wherein at least one party may be represented by a broker. Thus, complex negotiations may be handled automatically by the inventive method. The negotiation may be conducted semi-automatically to allow for human intervention in the negotiation process.

    Method and apparatus for privacy preserving data mining by restricting attribute choice
    30.
    发明授权
    Method and apparatus for privacy preserving data mining by restricting attribute choice 有权
    通过限制属性选择来保护数据挖掘隐私的方法和装置

    公开(公告)号:US07475085B2

    公开(公告)日:2009-01-06

    申请号:US11397297

    申请日:2006-04-04

    IPC分类号: G06F17/30

    摘要: Improved techniques for privacy preserving data mining of multidimensional data records are disclosed. For example, a technique for generating at least one output data set from at least one input data set for use in association with a data mining process comprises the following steps/operations. At least one relevant attribute of the at least one input data set is selected through determination of at least one relevance coefficient. The at least one output data set is generated from the at least one input data set, wherein the at least one output data set comprises the at least one relevant attribute of the at least one input data set, as determined by use of the at least one relevance coefficient.

    摘要翻译: 公开了用于多维数据记录的隐私保护数据挖掘的改进技术。 例如,用于从至少一个输入数据集生成至少一个输出数据集用于与数据挖掘过程相关联使用的技术包括以下步骤/操作。 通过确定至少一个相关性系数来选择至少一个输入数据集的至少一个相关属性。 所述至少一个输出数据集是从所述至少一个输入数据集生成的,其中所述至少一个输出数据组包括所述至少一个输入数据集的至少一个相关属性,如通过至少一个 一个相关系数。