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    • 7. 发明授权
    • Reliable, efficient peer-to-peer storage
    • 可靠,高效的点对点存储
    • US09047310B2
    • 2015-06-02
    • US11359276
    • 2006-02-22
    • Jin Li
    • Jin Li
    • G06F7/00G06F17/30
    • G06F17/30206
    • An adaptive coding storage system that uses adaptive erasure resilient code (ERC) which changes the number of fragments used for encoding according to the size of the file distributed. Adaptive ERC may greatly improve the efficiency and reliability of P2P storage. A number of procedures for P2P storage applications may also be implemented. In one embodiment small, dynamic data files are diverted to the more reliable peers or even a server, while large and static files are stored utilizing the storage capacity of the unreliable peers. Also, for balanced contribution and benefit, a peer should host the same amount of content as it stored in the P2P network. As a result, unreliable peers are allowed to distribute less data, and more reliable peers are allowed to distribute more. Also, smaller files are assigned a higher distribution cost, and the larger files are assigned a lower distribution cost.
    • 一种自适应编码存储系统,其使用自适应擦除弹性码(ERC),其根据所分配文件的大小改变用于编码的片段的数量。 自适应ERC可以大大提高P2P存储的效率和可靠性。 还可以实现用于P2P存储应用的多个过程。 在一个实施例中,小的动态数据文件被转移到更可靠的对等体或甚至服务器,而使用不可靠对等体的存储容量来存储大而静态的文件。 此外,为了平衡贡献和收益,对等体应该承载与存储在P2P网络中相同数量的内容。 因此,不可靠的对等体被允许分配更少的数据,并且允许更可靠的对等体分发更多的数据。 而且,分配较小的文件分配成本较高,分配较大的文件分配成本较低。
    • 10. 发明授权
    • Semantic relationship-based location description parsing
    • 基于语义关系的位置描述解析
    • US08682646B2
    • 2014-03-25
    • US12132623
    • 2008-06-04
    • Jin LiGuang YangShuang PengZhenyu Qian
    • Jin LiGuang YangShuang PengZhenyu Qian
    • G06F17/27
    • G06F17/277G06F17/2785
    • An automated arrangement for parsing location descriptions is provided in which semantic verification is integrated into a parsing process to reduce the generation of false results. The semantic verification involves checking up to three semantic relationships between keywords (i.e., syntactical components) parsed from the location description in a tokenization process to determine if a tokenization result is valid. The semantic relationships include: a) a spatial “part-of” relationship between location keywords; b) a spatial “near-by” relationship; and, c) a spatial “intersect” relationship. The semantic relationships between particular locations may be pre-calculated and stored as extended vocabulary to enable the semantic verification to occur early in the parsing process to thus increase overall parsing efficiency. The results of the parsing are sorted based on a rank score that is derived using the semantic relationships between the locations.
    • 提供了用于解析位置描述的自动布置,其中将语义验证集成到解析过程中以减少假结果的生成。 语义验证涉及在标记化过程中从位置描述解析的关键字(即,语法组件)之间检查多达三个语义关系,以确定标记化结果是否有效。 语义关系包括:a)位置关键词之间的空间“部分”关系; b)空间“近”关系; 和c)空间“相交”关系。 可以预先计算特定位置之间的语义关系并将其存储为扩展词汇表,以便能够在解析过程中早期发生语义验证,从而提高整体解析效率。 基于使用位置之间的语义关系导出的等级分数对解析的结果进行排序。