用“caching”造句大全，caching造句

Then developers, endowed with an appreciation for caching, start adding caching to new projects and solutions at the start instead of waiting for performance issues.

So don't use page caching when you care who can see a page.

The caching pattern was employed to store proxy and invoker objects for future use.

Clearly, as this article shows, caching can change the results from the locator and thus the behavior of the application.

Weak, soft, and phantom references can improve the memory characteristics of your application by allowing flexible caching.

If you see the get_misses continue to rise quickly and the get_hits level off, then you need to take a look at what you are caching.

Without going into the details of caching service call results, I will give you a negative example from project experience, so you can avoid the described pitfall.

Techniques such as caching and asynchronous processing can reduce the workload on the application by reusing previous work or by farming the bulk of the work to another machine.

While many of these applications are still bound by the archaic server query/response model (which requires users to manually “submit” each state change), technology now supports robust asynchronous communication with the server and local data caching, which allows an application delivered through a browser to behave in much the

With the content caching feature turned on, the traffic manager now ACTS like a caching proxy.

Traditionally, caching solutions have sought to avoid these issues by distributing the data over a cluster of caching nodes.

To ameliorate this speed mismatch, modern CPUs use extensive caching (to the point where most of the transistors on a modern CPU are devoted to caching).

A separate caching and flowing mechanism should be provided for the application services.

The caching functionality of the client enables the proxy to respond quickly to requests it has cached.

If you're familiar with caching, it is essentially the same concept — storing data to reduce both response time and server workload.

This caching layer optimizes access to the physical devices by keeping data around for a short time (or speculatively read ahead so that the data is available when needed).

A final highlight of NFSv4 is the ability to have the server delegate certain responsibilities to the client in caching situations, which is necessary for providing true data integrity.

This is a very simple, but not scalable, caching technique.

This sample application illustrates object caching and the exploitation of JSR168 state handling concepts, as discussed in Object caching and state handling.

It's a distributed memory caching system which Facebook (and a ton of other sites) use as a caching layer between the web servers and MySQL servers (since database access is relatively slow).

This would likely be the case if you're using PHP for caching or even to create a makeshift proxy server.

According to Venture Beat, the smaller vector graphics used in the updated maps will allow for caching of map data that you most often use, giving you a more consistent experience.

It supports both local disk caching as well as caching in memory.

Implementing the caching system at the pivot point isolates it from the service code.

Reduce I/O by taking the advantage of indexes, caching, reduced logging overhead, summary tables, and reduced fetches.

Because the IBM Journaled File System (JFS) and the IBM Enhanced Journaled File System (JFS2) do not allow this caching, this clearly is a reliability issue to be mindful of.

Using page output caching, then, does not make your application more efficient, but it can potentially reduce the load on your server as downstream caching technology caches documents.

When the Service Locator pattern was first developed for J2EE 1.2, caching resource references was a good idea because JNDI lookups were often slow and hurt performance.

This data is required to calculate the overall caching information.

You can configure portlet fragment caching more precisely in both environments, but these extensions are portal specific and are different in WebSphere portal and WebSphere Application Server.

Whereas the cache API is designed to cache data for a long period or until some condition is met, per-request caching simply means caching the data for the duration of the request.

Database query optimization based on semantic caching

Bring the data to the business logic, which can be achieved through caching and affinity routing.