Abstract: Systems and methods for optimizing the internal metadata management of key-value solid state drives (KVSSDs) are provided. A key-to-physical-address (K2P) mapping scheme (resizable hash-based indexing) that focuses on index resizing and space optimization can be used. The resizable metadata management scheme can efficiently handle a highly variable workload in an incredibly large keyspace. It can provide predictable metadata access cost, as well as fast membership checking. The metadata management structure can be designed to ensure near-constant performance in terms of metadata access cost and fast membership checking.

Abstract: Systems and methods for dynamically placing data in a hybrid memory structure are provided. A machine learning (ML)-based, adaptive tiered memory system can actively monitor application memory to dynamically place the right data in the right memory tier at the right time. The memory system can use reinforcement learning to perform dynamic tier placement of memory pages.

Abstract: A system for parallel computing leveraging the use of a key value solid state drive. The system including a modified set of compiler directives that enable the use of parallel compute and data threads. The system may further include a concurrency manager to ensure that the parallel data threads are operated in a thread-safe manner.

Abstract: A method for providing a Bloom filter for a multi-stream enabled solid-state drive (SSD) is disclosed. The Bloom filter includes two Bloom filter arrays, a counter corresponding to the two Bloom filter arrays, and a masking logic. The method includes: inserting an element in one or more of the two Bloom filter arrays using a plurality of hash functions; and updating the counter based on the insertion of the element. The method further includes: updating the Bloom filter by inserting one or more additional elements in one or more of the two Bloom filter arrays and updating the counter; and masking a data stored in the Bloom filter with the one or more additional elements to pseudo delete the data using the masking logic and reduce a false positive rate of the Bloom filter.

Abstract: A system for parallel computing leveraging the use of a key value solid state drive. The system including a modified set of compiler directives that enable the use of parallel compute and data threads. The system may further include a concurrency manager to ensure that the parallel data threads are operated in a thread-safe manner.

Abstract: A method for providing a Bloom filter for a multi-stream enabled solid-state drive (SSD) is disclosed. The Bloom filter includes two Bloom filter arrays, a counter corresponding to the two Bloom filter arrays, and a masking logic. The method includes: inserting an element in one or more of the two Bloom filter arrays using a plurality of hash functions; and updating the counter based on the insertion of the element. The method further includes: updating the Bloom filter by inserting one or more additional elements in one or more of the two Bloom filter arrays and updating the counter; and masking a data stored in the Bloom filter with the one or more additional elements to pseudo delete the data using the masking logic and reduce a false positive rate of the Bloom filter.

Abstract: A system includes a plurality of storage drives configured to store data associated with at least one of homogeneous and heterogeneous applications running in containers; and a controller configured to balance workloads of the containers by grouping the containers based on characteristics of the workloads of the containers.

Abstract: A system includes a plurality of storage drives configured to store data associated with at least one of homogeneous and heterogeneous applications running in containers; and a controller configured to balance workloads of the containers by grouping the containers based on characteristics of the workloads of the containers.