Contents
When to write cached data to local file system?
If you need to cache more information than is physically possible in memory, you can write cached data to the local file system. This will be slower to access than data held in memory, but should still be faster and more reliable than retrieving data across a network.
How is data cached in a distributed application?
Distributed applications typically implement either or both of the following strategies when caching data: Using a private cache, where data is held locally on the computer that’s running an instance of an application or service. Using a shared cache, serving as a common source that can be accessed by multiple processes and machines.
Where does the data go in Oracle cache?
Using Oracle Database Cache, you can store frequently requested data on the Web or application server tier. The requests of User A and User B from the client tier are routed to the cache on the middle tier, which returns the data. The following figure shows the multiple-tier environment using Oracle Database Cache:
How does Cache Aside work in eventual consistency?
Caching and eventual consistency. For the cache-aside pattern to work, the instance of the application that populates the cache must have access to the most recent and consistent version of the data. In a system that implements eventual consistency (such as a replicated data store) this might not be the case.
What does imemorycache stand for in web server?
IMemoryCache represents a cache stored in the memory of the web server. Apps running on a server farm (multiple servers) should ensure sessions are sticky when using the in-memory cache. Sticky sessions ensure that subsequent requests from a client all go to the same server.
When to use a client-server synchronization pattern?
Client is suspicious. In this case, you need to compare client against server to determine if the client is up-to-date and needs any deltas. You should follow the database (and SVN) design pattern of sequentially numbering every change. That way a client can make a trivial request (“What revision should I have?”) before attempting to synchronize.
How are shared cache services used in the cloud?
Many shared cache services are implemented by using a cluster of servers and use software to distribute the data across the cluster transparently. An application instance simply sends a request to the cache service. The underlying infrastructure determines the location of the cached data in the cluster.