A key value (KV) store, a method thereof, and a storage system are provided herein. The KV store may include a key logger; and a processor configured to receive a first command for storing a first KV in the KV store, write a first value of the first KV to a first NAND page, generate an extent map for identifying the first memory page including the first value, write the extent map to a second memory page, append an entry for storing the first KV to the key logger, and update a device hashmap of the KV store to include a first key of the first KV, upon a threshold being met within the key logger.

A key value (KV) store, a method thereof, and a storage system are provided herein. The KV store may include a key logger; and a processor configured to receive a first command for storing a first KV in the KV store, write a first value of the first KV to a first NAND page, generate an extent map for identifying the first memory page including the first value, write the extent map to a second memory page, append an entry for storing the first KV to the key logger, and update a device hashmap of the KV store to include a first key of the first KV, upon a threshold being met within the key logger.

An apparatus includes a cache controller circuit and a cache memory circuit that further includes cache memory having a plurality of cache lines. The cache controller circuit may be configured to receive a request to reallocate a portion of the cache memory circuit that is currently in use. This request may identify an address region corresponding to one or more of the cache lines. The cache controller circuit may be further configured, in response to the request, to convert the one or more cache lines to directly-addressable, random-access memory (RAM) by excluding the one or more cache lines from cache operations.

Systems and methods are disclosed for maintaining insertion policies of a lower-level cache. Techniques are described for selecting, based on metadata of an evicted data block received from an upper-level cache, an insertion policy out of the insertion policies. Then, determining, based on the selected insertion policy, whether to insert the data block into the lower-level cache. If it is determined to insert, the data block is inserted into the lower-level cache according to the selected insertion policy. Techniques for dynamically updating the insertion policies of the lower-level cache are also disclosed.

Systems and methods are disclosed for maintaining insertion policies of a lower-level cache. Techniques are described for selecting, based on metadata of an evicted data block received from an upper-level cache, an insertion policy out of the insertion policies. Then, determining, based on the selected insertion policy, whether to insert the data block into the lower-level cache. If it is determined to insert, the data block is inserted into the lower-level cache according to the selected insertion policy. Techniques for dynamically updating the insertion policies of the lower-level cache are also disclosed.

Performance degradation of an application that is caused by another computing process that shares infrastructure with the application is detected. The application and the other computing device may execute via different virtual machines hosted on the same computing device. To detect the performance degradation that is attributable to the other computing process, certain storage segments of a data storage (e.g., a cache) shared by the virtual machines is written with data. A pattern of read operations are then performed on the segments to determine whether an increase in read access time has occurred. Such a performance degradation is attributable to another computing process. After detecting the degradation, a metric that quantifies the detected degradation attributable to the other computing process is provided to an ML model, which determines the actual performance of the application absent the degradation attributable to the other computing process.

Performance degradation of an application that is caused by another computing process that shares infrastructure with the application is detected. The application and the other computing device may execute via different virtual machines hosted on the same computing device. To detect the performance degradation that is attributable to the other computing process, certain storage segments of a data storage (e.g., a cache) shared by the virtual machines is written with data. A pattern of read operations are then performed on the segments to determine whether an increase in read access time has occurred. Such a performance degradation is attributable to another computing process. After detecting the degradation, a metric that quantifies the detected degradation attributable to the other computing process is provided to an ML model, which determines the actual performance of the application absent the degradation attributable to the other computing process.

According to one embodiment, a cache memory system includes a cache memory and a cache controller. The cache memory can store first data to be read or written by a processor. The cache controller is configured to execute a refresh. The refresh includes reading the first data stored in the cache memory and writing the read first data to the cache memory. When executing the refresh, the cache controller is configured to exchange the first data stored in a first area of the cache memory for second data stored in a second area of the cache memory.

A caching system including a first sub-cache and a second sub-cache in parallel with the first sub-cache, wherein the second sub-cache includes a set of cache lines, line type bits configured to store an indication that a corresponding cache line of the set of cache lines is configured to store write-miss data, and an eviction controller configured to flush stored write-miss data based on the line type bits.

A caching system including a first sub-cache and a second sub-cache in parallel with the first sub-cache, wherein the second sub-cache includes a set of cache lines, line type bits configured to store an indication that a corresponding cache line of the set of cache lines is configured to store write-miss data, and an eviction controller configured to flush stored write-miss data based on the line type bits.