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1. 发明授权

US10110695B1 Key resource prefetching using front-end optimization (FEO) configuration 有权
公开(公告)号：US10110695B1
公开(公告)日：2018-10-23
申请号：US16012441
申请日：2018-06-19
申请人： Akamai Technologies, Inc.
发明人： Craig Conboy , Guy Podjarny , Christopher P. Daley
IPC分类号： G06F17/00 , H04L29/08 , G06F17/30 , G06F12/0862
摘要： Front-end optimization (FEO) configuration information is leveraged to identify “key” resources required to load other pages on a site, and to automatically cause key resources to be prefetched to a server, and to the browser. In this approach, an FEO analyzer uses knowledge of configured optimization templates to determine the key resources required to load pages for each template. The key resources for pages belonging to other optimization templates are then selectively prefetched by other pages. In a preferred approach, the FEO analyzer provides an edge server cache process a list of key resources and instructions to prefetch the key resources, as well as instructions to rewrite the HTML of the page to include instructions for the browser to prefetech the key resources. On the client, key resources are prefetched if missing from a cache on the browser. Key resources preferably are stored in the browser's HTML5 local storage cache.

2. 发明申请

US20170041424A1 Key Resource Prefetching Using Front-End Optimization (FEO) Configuration 审中-公开
标题翻译：使用前端优化（FEO）配置的主要资源预取
公开(公告)号：US20170041424A1
公开(公告)日：2017-02-09
申请号：US15331831
申请日：2016-10-22
申请人： Akamai Technologies, Inc.
发明人： Craig Conboy , Guy Podjarny , Christopher P. Daley
IPC分类号： H04L29/08
CPC分类号： H04L67/2847 , G06F12/0862 , G06F17/30902 , H04L67/02 , H04L67/1097
摘要： Front-end optimization (FEO) configuration information is leveraged to identify “key” resources required to load other pages on a site, and to automatically cause key resources to be prefetched to a server, and to the browser. In this approach, an FEO analyzer uses knowledge of configured optimization templates to determine the key resources required to load pages for each template. The key resources for pages belonging to other optimization templates are then selectively prefetched by other pages. In a preferred approach, the FEO analyzer provides an edge server cache process a list of key resources and instructions to prefetch the key resources, as well as instructions to rewrite the HTML of the page to include instructions for the browser to prefetech the key resources. On the client, key resources are prefetched if missing from a cache on the browser. Key resources preferably are stored in the browser's HTML5 local storage cache.
摘要翻译：利用前端优化（FEO）配置信息来识别在站点上加载其他页面所需的“关键”资源，并自动将关键资源预取到服务器和浏览器。在这种方法中，FEO分析器使用配置的优化模板的知识来确定为每个模板加载页面所需的关键资源。然后，对其他优化模板的页面的关键资源有选择地被其他页面预取。在优选的方法中，FEO分析器为边缘服务器缓存处理提供关键资源和指令的列表，以预取关键资源，以及重写页面的HTML的指令，以包括浏览器预取关键资源的指令。在客户端上，如果浏览器缓存中缺少密钥资源，那么它们将被预取。关键资源最好存储在浏览器的HTML5本地存储缓存中。

3. 发明申请

US20180302492A1 Key resource prefetching using front-end optimization (FEO) configuration 审中-公开
公开(公告)号：US20180302492A1
公开(公告)日：2018-10-18
申请号：US16012441
申请日：2018-06-19
申请人： Akamai Technologies, Inc.
发明人： Craig Conboy , Guy Podjarny , Christopher P. Daley
IPC分类号： H04L29/08 , G06F12/0862 , G06F17/30
摘要： Front-end optimization (FEO) configuration information is leveraged to identify “key” resources required to load other pages on a site, and to automatically cause key resources to be prefetched to a server, and to the browser. In this approach, an FEO analyzer uses knowledge of configured optimization templates to determine the key resources required to load pages for each template. The key resources for pages belonging to other optimization templates are then selectively prefetched by other pages. In a preferred approach, the FEO analyzer provides an edge server cache process a list of key resources and instructions to prefetch the key resources, as well as instructions to rewrite the HTML of the page to include instructions for the browser to prefetech the key resources. On the client, key resources are prefetched if missing from a cache on the browser. Key resources preferably are stored in the browser's HTML5 local storage cache.

4. 发明申请

US20150089352A1 Key Resource Prefetching Using Front-End Optimization (FEO) Configuration 有权
标题翻译：使用前端优化（FEO）配置的主要资源预取
公开(公告)号：US20150089352A1
公开(公告)日：2015-03-26
申请号：US14494682
申请日：2014-09-24
申请人： Akamai Technologies, Inc.
发明人： Craig Conboy , Guy Podjarny , Christopher P. Daley
IPC分类号： G06F17/30
CPC分类号： H04L67/2847 , G06F12/0862 , G06F17/30902 , H04L67/02 , H04L67/1097
摘要： Front-end optimization (FEO) configuration information is leveraged to identify “key” resources required to load other pages on a site, and to automatically cause key resources to be prefetched to a server, and to the browser. In this approach, an FEO analyzer uses knowledge of configured optimization templates to determine the key resources required to load pages for each template. The key resources for pages belonging to other optimization templates are then selectively prefetched by other pages. In a preferred approach, the FEO analyzer provides an edge server cache process a list of key resources and instructions to prefetch the key resources, as well as instructions to rewrite the HTML of the page to include instructions for the browser to prefetech the key resources. On the client, key resources are prefetched if missing from a cache on the browser. Key resources preferably are stored in the browser's HTML5 local storage cache.
摘要翻译：利用前端优化（FEO）配置信息来识别在站点上加载其他页面所需的“关键”资源，并自动将关键资源预取到服务器和浏览器。在这种方法中，FEO分析器使用配置的优化模板的知识来确定为每个模板加载页面所需的关键资源。然后，对其他优化模板的页面的关键资源有选择地被其他页面预取。在优选方法中，FEO分析器为边缘服务器缓存处理提供关键资源和指令的列表，以预取关键资源，以及重写页面的HTML的指令，以包括浏览器预先指定关键资源的指令。在客户端上，如果浏览器缓存中缺少密钥资源，那么它们将被预取。关键资源最好存储在浏览器的HTML5本地存储缓存中。

5. 发明授权

US10003666B2 Key resource prefetching using front-end optimization (FEO) configuration 有权
公开(公告)号：US10003666B2
公开(公告)日：2018-06-19
申请号：US15331831
申请日：2016-10-22
申请人： Akamai Technologies, Inc.
发明人： Craig Conboy , Guy Podjarny , Christopher P. Daley
IPC分类号： G06F17/00 , H04L29/08 , G06F12/0862 , G06F17/30
CPC分类号： H04L67/2847 , G06F12/0862 , G06F16/9574 , H04L67/02 , H04L67/1097
摘要： Front-end optimization (FEO) configuration information is leveraged to identify “key” resources required to load other pages on a site, and to automatically cause key resources to be prefetched to a server, and to the browser. In this approach, an FEO analyzer uses knowledge of configured optimization templates to determine the key resources required to load pages for each template. The key resources for pages belonging to other optimization templates are then selectively prefetched by other pages. In a preferred approach, the FEO analyzer provides an edge server cache process a list of key resources and instructions to prefetch the key resources, as well as instructions to rewrite the HTML of the page to include instructions for the browser to prefetech the key resources. On the client, key resources are prefetched if missing from a cache on the browser. Key resources preferably are stored in the browser's HTML5 local storage cache.

6. 发明授权

US09477774B2 Key resource prefetching using front-end optimization (FEO) configuration 有权
标题翻译：使用前端优化（FEO）配置进行关键资源预取
公开(公告)号：US09477774B2
公开(公告)日：2016-10-25
申请号：US14494682
申请日：2014-09-24
申请人： Akamai Technologies, Inc.
发明人： Craig Conboy , Guy Podjarny , Christopher P. Daley
IPC分类号： G06F17/00 , G06F17/30 , G06F12/08 , H04L29/08
CPC分类号： H04L67/2847 , G06F12/0862 , G06F17/30902 , H04L67/02 , H04L67/1097
摘要： Front-end optimization (FEO) configuration information is leveraged to identify “key” resources required to load other pages on a site, and to automatically cause key resources to be prefetched to a server, and to the browser. In this approach, an FEO analyzer uses knowledge of configured optimization templates to determine the key resources required to load pages for each template. The key resources for pages belonging to other optimization templates are then selectively prefetched by other pages. In a preferred approach, the FEO analyzer provides an edge server cache process a list of key resources and instructions to prefetch the key resources, as well as instructions to rewrite the HTML of the page to include instructions for the browser to prefetech the key resources. On the client, key resources are prefetched if missing from a cache on the browser. Key resources preferably are stored in the browser's HTML5 local storage cache.
摘要翻译：利用前端优化（FEO）配置信息来识别在站点上加载其他页面所需的“关键”资源，并自动将关键资源预取到服务器和浏览器。在这种方法中，FEO分析器使用配置的优化模板的知识来确定为每个模板加载页面所需的关键资源。然后，对其他优化模板的页面的关键资源有选择地被其他页面预取。在优选的方法中，FEO分析器为边缘服务器缓存处理提供关键资源和指令的列表，以预取关键资源，以及重写页面的HTML的指令，以包括浏览器预取关键资源的指令。在客户端上，如果浏览器缓存中缺少密钥资源，那么它们将被预取。关键资源最好存储在浏览器的HTML5本地存储缓存中。

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