公开(公告)号：US07809813B2

公开(公告)日：2010-10-05

申请号：US10184438

申请日：2002-06-28

申请人： Wei-Ying Ma ,  Yu Chen ,  Liang Sun ,  Xing Xie ,  Chun Yuan ,  Hongjiang Zhang

发明人： Wei-Ying Ma ,  Yu Chen ,  Liang Sun ,  Xing Xie ,  Chun Yuan ,  Hongjiang Zhang

IPC分类号： G06F15/173

CPC分类号： H04L67/2814 ,  G06F17/3089 ,  G06F17/30905 ,  H04L67/16 ,  H04L67/2819 ,  H04L67/306 ,  H04L67/322 ,  H04L67/327 ,  H04L69/329

摘要： A content service network for providing content-oriented services over the Internet or similar networks comprises a service delivery overlay having a plurality of application servers and a content delivery network overlay having a plurality of service-enabled proxies in content delivery paths between content providers and content consumers. The service delivery overlay and the content delivery network collaborate to provide content-oriented processing, such as adaptive video delivery, content personalization, language translation, etc. The content service network accepts subscriptions from content providers and content consumer. For each subscription, service instructions including service binding data for binding the subscribed services with the subscriber's identity are generated and distributed to the service-enabled proxies. When a service-enabled proxy detects that a message passing therethrough requires a subscribed service, it retrieves service instructions for the service and renders the service either by making a remote call to an application service or by invoking a local execution module.

摘要翻译： 用于通过因特网或类似网络提供面向内容的服务的内容服务网络包括具有多个应用服务器的服务传递覆盖层和在内容提供者和内容之间的内容传递路径中具有多个服务使能代理的内容传送网络覆盖 消费者 服务提供覆盖和内容传送网络协同提供面向内容的处理，例如自适应视频传递，内容个性化，语言翻译等。内容服务网络接受来自内容提供商和内容消费者的订阅。 对于每个订阅，生成包括用于将订阅的服务与用户身份绑定的服务绑定数据的服务指令，并将其分发给支持服务的代理。 当启用服务的代理检测到通过其中的消息需要订阅服务时，它检索服务的服务指​​令，并通过对应用程序服务进行远程调用或通过调用本地执行模块来呈现服务。

公开(公告)号：US07203901B2

公开(公告)日：2007-04-10

申请号：US10306729

申请日：2002-11-27

申请人： Yu Chen ,  Wei-Ying Ma ,  Ming-Yu Wang ,  Hong Jiang Zhang

发明人： Yu Chen ,  Wei-Ying Ma ,  Ming-Yu Wang ,  Hong Jiang Zhang

IPC分类号： G06F3/00

CPC分类号： G06F17/30905

摘要： A large web page is analyzed and partitioned into smaller sub-pages so that a user can navigate the web page on a small form factor device. The user can browse the sub-pages to find and read information in the content of the large web page. The partitioning can be performed at a web server, an edge server, at the small form factor device, or can be distributed across one or more such devices. The analysis leverages design habits of a web page author to extract a representation structure of an authored web page. The extracted representation structure includes high level structure using several markup language tag selection rules and low level structure using visual boundary detection in which visual units of the low level structure are provided by clustering markup language tags. User viewing habits can be learned to display favorite parts of a web page.

摘要翻译： 分析大型网页并将其划分为更小的子页面，以便用户可以在小尺寸设备上浏览网页。 用户可以浏览子页面，以便在大型网页的内容中查找和读取信息。 分区可以在Web服务器，边缘服务器，小尺寸设备处执行，或者可以分布在一个或多个这样的设备上。 分析利用网页作者的设计习惯来提取创作网页的表示结构。 所提取的表示结构包括使用几种标记语言标签选择规则的高级结构和使用视觉边界检测的低级结构，其中通过聚类标记语言标签提供低级结构的视觉单元。 可以学习用户观看习惯来显示网页的喜爱部分。

公开(公告)号：US20060282444A1

公开(公告)日：2006-12-14

申请号：US11465718

申请日：2006-08-18

申请人： Yu Chen ,  Wei-Ying Ma ,  Ming-Yu Wang ,  Hong Zhang

发明人： Yu Chen ,  Wei-Ying Ma ,  Ming-Yu Wang ,  Hong Zhang

IPC分类号： G06F7/00

CPC分类号： G06F17/30905

摘要： A large web page is analyzed and partitioned into smaller sub-pages so that a user can navigate the web page on a small form factor device. The user can browse the sub-pages to find and read information in the content of the large web page. The partitioning can be performed at a web server, an edge server, at the small form factor device, or can be distributed across one or more such devices. The analysis leverages design habits of a web page author to extract a representation structure of an authored web page. The extracted representation structure includes high level structure using several markup language tag selection rules and low level structure using visual boundary detection in which visual units of the low level structure are provided by clustering markup language tags. User viewing habits can be learned to display favorite parts of a web page.

摘要翻译： 分析大型网页并将其划分为更小的子页面，以便用户可以在小尺寸设备上浏览网页。 用户可以浏览子页面，以便在大型网页的内容中查找和读取信息。 分区可以在Web服务器，边缘服务器，小尺寸设备处执行，或者可以分布在一个或多个这样的设备上。 分析利用网页作者的设计习惯来提取创作网页的表示结构。 所提取的表示结构包括使用几种标记语言标签选择规则的高级结构和使用视觉边界检测的低级结构，其中通过聚类标记语言标签提供低级结构的视觉单元。 可以学习用户观看习惯来显示网页的喜爱部分。

公开(公告)号：US07873901B2

公开(公告)日：2011-01-18

申请号：US11465718

申请日：2006-08-18

申请人： Yu Chen ,  Wei-Ying Ma ,  Ming-Yu Wang ,  Hong Jiang Zhang

发明人： Yu Chen ,  Wei-Ying Ma ,  Ming-Yu Wang ,  Hong Jiang Zhang

IPC分类号： G06F17/00

CPC分类号： G06F17/30905

摘要： A large web page is analyzed and partitioned into smaller sub-pages so that a user can navigate the web page on a small form factor device. The user can browse the sub-pages to find and read information in the content of the large web page. The partitioning can be performed at a web server, an edge server, at the small form factor device, or can be distributed across one or more such devices. The analysis leverages design habits of a web page author to extract a representation structure of an authored web page. The extracted representation structure includes high level structure using several markup language tag selection rules and low level structure using visual boundary detection in which visual units of the low level structure are provided by clustering markup language tags. User viewing habits can be learned to display favorite parts of a web page.

摘要翻译： 分析大型网页并将其划分为更小的子页面，以便用户可以在小尺寸设备上浏览网页。 用户可以浏览子页面，以便在大型网页的内容中查找和读取信息。 分区可以在Web服务器，边缘服务器，小尺寸设备处执行，或者可以分布在一个或多个这样的设备上。 分析利用网页作者的设计习惯来提取创作网页的表示结构。 所提取的表示结构包括使用几种标记语言标签选择规则的高级结构和使用视觉边界检测的低级结构，其中通过聚类标记语言标签提供低级结构的视觉单元。 可以学习用户观看习惯来显示网页的喜爱部分。

公开(公告)号：US08020090B2

公开(公告)日：2011-09-13

申请号：US11465736

申请日：2006-08-18

申请人： Yu Chen ,  Wei-Ying Ma ,  Ming-Yu Wang ,  Hong Jiang Zhang

发明人： Yu Chen ,  Wei-Ying Ma ,  Ming-Yu Wang ,  Hong Jiang Zhang

IPC分类号： G06F17/00

CPC分类号： G06F17/30905

摘要： A large web page is analyzed and partitioned into smaller sub-pages so that a user can navigate the web page on a small form factor device. The user can browse the sub-pages to find and read information in the content of the large web page. The partitioning can be performed at a web server, an edge server, at the small form factor device, or can be distributed across one or more such devices. The analysis leverages design habits of a web page author to extract a representation structure of an authored web page. The extracted representation structure includes high level structure using several markup language tag selection rules and low level structure using visual boundary detection in which visual units of the low level structure are provided by clustering markup language tags. User viewing habits can be learned to display favorite parts of a web page.

公开(公告)号：US09483577B2

公开(公告)日：2016-11-01

申请号：US13230513

申请日：2011-09-12

申请人： Yu Chen ,  Hong-Jiang Zhang ,  Wei-Ying Ma ,  Ming-Yu Wang

发明人： Yu Chen ,  Hong-Jiang Zhang ,  Wei-Ying Ma ,  Ming-Yu Wang

IPC分类号： G06F17/00 ,  G06F17/30

CPC分类号： G06F17/30905

摘要： A large web page is analyzed and partitioned into smaller sub-pages so that a user can navigate the web page on a small form factor device. The user can browse the sub-pages to find and read information in the content of the large web page. The partitioning can be performed at a web server, an edge server, at the small form factor device, or can be distributed across one or more such devices. The analysis leverages design habits of a web page author to extract a representation structure of an authored web page. The extracted representation structure includes high level structure using several markup language tag selection rules and low level structure using visual boundary detection in which visual units of the low level structure are provided by clustering markup language tags. User viewing habits can be learned to display favorite parts of a web page.

摘要翻译： 分析大型网页并将其划分为更小的子页面，以便用户可以在小尺寸设备上浏览网页。 用户可以浏览子页面，以便在大型网页的内容中查找和读取信息。 分区可以在Web服务器，边缘服务器，小尺寸设备处执行，或者可以分布在一个或多个这样的设备上。 分析利用网页作者的设计习惯来提取创作网页的表示结构。 所提取的表示结构包括使用几种标记语言标签选择规则的高级结构和使用视觉边界检测的低级结构，其中通过聚类标记语言标签提供低级结构的视觉单元。 可以学习用户观看习惯来显示网页的喜爱部分。

公开(公告)号：US20120005565A1

公开(公告)日：2012-01-05

申请号：US13230513

申请日：2011-09-12

申请人： Yu Chen ,  Wei-Ying Ma ,  Ming-Yu Wang ,  Hong Jiang Zhang

发明人： Yu Chen ,  Wei-Ying Ma ,  Ming-Yu Wang ,  Hong Jiang Zhang

IPC分类号： G06F17/00

CPC分类号： G06F17/30905

摘要： A large web page is analyzed and partitioned into smaller sub-pages so that a user can navigate the web page on a small form factor device. The user can browse the sub-pages to find and read information in the content of the large web page. The partitioning can be performed at a web server, an edge server, at the small form factor device, or can be distributed across one or more such devices. The analysis leverages design habits of a web page author to extract a representation structure of an authored web page. The extracted representation structure includes high level structure using several markup language tag selection rules and low level structure using visual boundary detection in which visual units of the low level structure are provided by clustering markup language tags. User viewing habits can be learned to display favorite parts of a web page.

摘要翻译： 分析大型网页并将其划分为更小的子页面，以便用户可以在小尺寸设备上浏览网页。 用户可以浏览子页面，以便在大型网页的内容中查找和读取信息。 分区可以在Web服务器，边缘服务器，小尺寸设备处执行，或者可以分布在一个或多个这样的设备上。 分析利用网页作者的设计习惯来提取创作网页的表示结构。 所提取的表示结构包括使用几种标记语言标签选择规则的高级结构和使用视觉边界检测的低级结构，其中通过聚类标记语言标签提供低级结构的视觉单元。 可以学习用户观看习惯来显示网页的喜爱部分。

公开(公告)号：US20060282445A1

公开(公告)日：2006-12-14

申请号：US11465736

申请日：2006-08-18

申请人： Yu Chen ,  Wei-Ying Ma ,  Ming-Yu Wang ,  Hong Zhang

发明人： Yu Chen ,  Wei-Ying Ma ,  Ming-Yu Wang ,  Hong Zhang

IPC分类号： G06F7/00

CPC分类号： G06F17/30905

摘要： A large web page is analyzed and partitioned into smaller sub-pages so that a user can navigate the web page on a small form factor device. The user can browse the sub-pages to find and read information in the content of the large web page. The partitioning can be performed at a web server, an edge server, at the small form factor device, or can be distributed across one or more such devices. The analysis leverages design habits of a web page author to extract a representation structure of an authored web page. The extracted representation structure includes high level structure using several markup language tag selection rules and low level structure using visual boundary detection in which visual units of the low level structure are provided by clustering markup language tags. User viewing habits can be learned to display favorite parts of a web page.

公开(公告)号：US20050243740A1

公开(公告)日：2005-11-03

申请号：US10826674

申请日：2004-04-16

申请人： Yu Chen ,  Zheng Zhang ,  Xing Xie ,  Shiding Lin

发明人： Yu Chen ,  Zheng Zhang ,  Xing Xie ,  Shiding Lin

IPC分类号： G06F17/30 ,  G06F12/00 ,  G06F13/00 ,  H04L29/08 ,  H04L1/00

CPC分类号： H04L67/2804 ,  H04L67/2819 ,  H04L67/327 ,  Y10S707/99942 ,  Y10S707/99943

摘要： A data overlay is built as a data structure on a logical space defined by a distributed hash table (DHT) in a peer-to-peer network. The data overlay includes a tree having tree nodes that each have a zone mapped to a corresponding DHT node in the logical space of the DHT. The logical space of the DHT is mapped to machines, each of which corresponds to one or more of more of the tree node zones. The tree nodes are hierarchically situated by tree node zone size and my available resource so that tasks are performed by machines in the peer-to-peer network according to the respective abilities of the machines to supply the tasks' demand. The tree, which self-organizes and self-heals on the same scale as the underlying DHT, is used together and disseminate information from and to the DHT nodes using the hierarchy of the tree nodes.

摘要翻译： 在由对等网络中的分布式哈希表（DHT）定义的逻辑空间上构建数据覆盖层作为数据结构。 数据覆盖包括具有树节点的树，每个树节点具有映射到DHT的逻辑空间中的相应DHT节点的区域。 DHT的逻辑空间被映射到机器，每个机器对应于一个或多个更多的树节点区域。 树节点由树节点区域大小和可用资源分层位置，使得任务由对等网络中的机器根据机器提供任务需求的相应能力执行。 与DHT相同的规模自我组织和自我修复的树被一起使用，并使用树节点的层次结构向DHT节点传播信息。

公开(公告)号：US07418454B2

公开(公告)日：2008-08-26

申请号：US10826674

申请日：2004-04-16

申请人： Yu Chen ,  Zheng Zhang ,  Xing Xie ,  Shiding Lin

发明人： Yu Chen ,  Zheng Zhang ,  Xing Xie ,  Shiding Lin

IPC分类号： G06F17/30 ,  G06F7/00

CPC分类号： H04L67/2804 ,  H04L67/2819 ,  H04L67/327 ,  Y10S707/99942 ,  Y10S707/99943

摘要： A data overlay is built as a data structure on a logical space defined by a distributed hash table (DHT) in a peer-to-peer network. The data overlay includes a tree having tree nodes that each have a zone mapped to a corresponding DHT node in the logical space of the DHT. The logical space of the DHT is mapped to machines, each of which corresponds to one or more of more of the tree node zones. The tree nodes are hierarchically situated by tree node zone size and my available resource so that tasks are performed by machines in the peer-to-peer network according to the respective abilities of the machines to supply the tasks' demand. The tree, which self-organizes and self-heals on the same scale as the underlying DHT, is used together and disseminate information from and to the DHT nodes using the hierarchy of the tree nodes.

摘要翻译： 在由对等网络中的分布式哈希表（DHT）定义的逻辑空间上构建数据覆盖层作为数据结构。 数据覆盖包括具有树节点的树，每个树节点具有映射到DHT的逻辑空间中的相应DHT节点的区域。 DHT的逻辑空间被映射到机器，每个机器对应于一个或多个更多的树节点区域。 树节点由树节点区域大小和可用资源分层位置，使得任务由对等网络中的机器根据机器提供任务需求的相应能力执行。 与DHT相同的规模自我组织和自我修复的树被一起使用，并使用树节点的层次结构向DHT节点传播信息。