Abstract: This Sampling Object Cache System (“SOCS”) estimates the size of an in-memory heap-based object cache without the need to serialize every object within the cache. SOCS samples objects at a user-determined rate and then computes a “sample size average” for each type of class—whether a top class, type of top class or non top class. Using these sample size averages, a statistically accurate measure of the overall size of the cache is calculated by adding together the total size of the objects in the cache for each class type.

Abstract: This Sampling Object Cache System (“SOCS”) estimates the size of an in-memory heap-based object cache without the need to serialize every object within the cache. SOCS samples objects at a user-determined rate and then computes a “sample size average” for each type of class—whether a top class, type of top class or non top class. Using these sample size averages, a statistically accurate measure of the overall size of the cache is calculated by adding together the total size of the objects in the cache for each class type.

Abstract: A method of proactively monitoring the coherency of a distributed cache. A cache comparison utility selects a set of cache keys from a replica cache connected to a main cache via a network. The cache comparison utility selects a first cache key from the set of cache keys and fetches a first cache value from the replica cache that corresponds to the first cache key. The cache comparison utility generates a first checksum value corresponding to the first cache value and the first cache key and stores the first checksum value in a first checksum table. The cache comparison utility creates a first total checksum value that corresponds to the first checksum table and compares the first total checksum value with multiple total checksum values that correspond to the main cache and one or more additional replica caches, thereby identifying replica caches that are not identical to the main cache.