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    • 1. 发明授权
    • Optimized prefetching of compound data
    • 优化复合数据预取
    • US08549108B2
    • 2013-10-01
    • US13249177
    • 2011-09-29
    • Adityashankar KiniVinay Perneti
    • Adityashankar KiniVinay Perneti
    • G06F15/16
    • H04L47/803H04L67/1097H04L67/2847
    • Access to compound data over a wide-area network is optimized by analyzing metadata within compound data to identify internal and external data streams to be prefetched. Upon receiving or intercepting a network packet including an access request for a data resource, metadata in this data resource is analyzed to identify associated data streams and their storage locations within and/or outside of the data resource. Data streams may be proactively or reactively prefetched. Proactive prefetching identifies and retrieves data streams or portions thereof likely to be accessed by a client based on attributes associated with the data resource. Reactive prefetching identifies portions of data streams associated with received access requests and retrieves additional portions of these data streams. Prefetched data streams or portions thereof are stored in a data storage on the same local network or near to the local network including the client.
    • 通过分析复合数据中的元数据来优化通过广域网络访问复合数据,以识别要预取的内部和外部数据流。 在接收或截取包括对数据资源的访问请求的网络分组时,分析该数据资源中的元数据以识别数据资源内和/或外的关联的数据流及其存储位置。 数据流可以主动或反应地预取。 基于与数据资源相关联的属性,主动预取识别和检索可能由客户端访问的数据流或其部分。 反馈预取识别与接收的访问请求相关联的数据流的部分,并检索这些数据流的附加部分。 预取数据流或其部分存储在同一本地网络上的数据存储器中或包括客户端在内的本地网络附近。
    • 2. 发明申请
    • Optimized Prefetching of Compound Data
    • 优化复合数据预取
    • US20130086264A1
    • 2013-04-04
    • US13249177
    • 2011-09-29
    • Adityashankar KiniVinay Perneti
    • Adityashankar KiniVinay Perneti
    • G06F15/173
    • H04L47/803H04L67/1097H04L67/2847
    • Access to compound data over a wide-area network is optimized by analyzing metadata within compound data to identify internal and external data streams to be prefetched. Upon receiving or intercepting a network packet including an access request for a data resource, metadata in this data resource is analyzed to identify associated data streams and their storage locations within and/or outside of the data resource. Data streams may be proactively or reactively prefetched. Proactive prefetching identifies and retrieves data streams or portions thereof likely to be accessed by a client based on attributes associated with the data resource. Reactive prefetching identifies portions of data streams associated with received access requests and retrieves additional portions of these data streams. Prefetched data streams or portions thereof are stored in a data storage on the same local network or near to the local network including the client.
    • 通过分析复合数据中的元数据来优化通过广域网络访问复合数据,以识别要预取的内部和外部数据流。 在接收或截取包括对数据资源的访问请求的网络分组时,分析该数据资源中的元数据以识别数据资源内和/或外的关联的数据流及其存储位置。 数据流可以主动或反应地预取。 基于与数据资源相关联的属性,主动预取识别和检索可能由客户端访问的数据流或其部分。 反馈预取识别与接收的访问请求相关联的数据流的部分,并检索这些数据流的附加部分。 预取数据流或其部分存储在同一本地网络上的数据存储器中或包括客户端在内的本地网络附近。