Which of the following topology implement a front cache and a back cache that automatically and transparently communicate with each other by using a read-through /write-through approach?
Portioned, Replicated, near cache, local cache.
Answers
Distributed/partitioned cache is a fault-tolerant as well as clustered cache that has linear scalability.
Data is divided between all the computers inside cluster.
Partitioned caches can be configured for fault-tolerance place every bit of data on multiple unique computers inside a particular cluster.
Coherence the maximum used caches are distributed caches .
Coherence states that distributed cache is collection of data that is given/partitioned through enormous number of cluster nodes in such a way that one node is responsible for every bit of data.
Cache: The memory that stores data so that future requests can be served faster is called the cache memory.
The data stored in a cache might be the result of a computation or a copy of data.
Near cache: The near cache is capable of providing high performance and also increases scalability.
It uses the most frequently used and most recently used data to cache the necessary data.
They implement a front cache and a back cache that automatically and transparently communicate with each other by using a read-through /write-through approach.
Hence, Near cache is the answer.