它的实现方式是将来自多个JVM的内存聚合以形成全局缓存。
This is achieved by aggregating memory from many JVMs that together form the global cache.
从缓存检索到的用以聚合到门户页面中的片段需要了解当前的页面上下文。
Fragments that are retrieved from a cache to be aggregated into a portal page then need to be made aware of the current page context.
利用Portlet缓存，门户会在响应请求前将缓存的Portlet片段聚合为完整的页。
With portlet caching, the portal aggregates cached portlet fragments into complete pages before responding to a request.
这看起来有点像Facebook连接，但是我猜想t witter将不会禁止开发者缓存数据，以用来时移，聚合，离线或是其他有趣的分析。
That sounds like Facebook Connect, but I'm going to guess that Twitter will not prohibit developers from caching that data for time-shifted, aggregate, offline or other interesting types of analysis.
这种情况下，Portlet根据缓存的数据呈现标记片段，而门户将标记聚合为完整的门户页。
In this case, the portlet renders the markup fragment based on the cached data, and the portal aggregates the markup into a complete portal page.
门户将自动确定哪些聚合页面可以缓存，并自动设置页面标头以将站点中的静态部分缓存到反向代理或浏览器中。
The portal automatically determines which aggregated pages can be cached and sets page headers that enable static parts of your site to be projected into caches in reverse proxies or browsers.
为了进行此缓存，WebSpherePortal将访问完全呈现页面所需的全部必要组件，并对这些组件可以提供的信息进行聚合。
To achieve this caching, WebSphere Portal visits all necessary components that make up a completely rendered page and gathers and aggregates the information those components can contribute.
为了进行此缓存，WebSpherePortal将访问完全呈现页面所需的全部必要组件，并对这些组件可以提供的信息进行聚合。
To achieve this caching, WebSphere Portal visits all necessary components that make up a completely rendered page and gathers and aggregates the information those components can contribute.
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