Center Allocation for Ordered Insertion in Sparse Data Structures

The patent segments the data structure into multiple banks (e.g., Bank 0, Bank 1, Bank 2, Bank 3) where each bank stores a portion of the ordered data entries. This segmentation allows independent access and manipulation of data subsets, eliminating the need for repeated shifts and rewrites across the entire data structure. The controller can perform insertions and deletions in individual banks without affecting other banks, thereby maintaining data order while reducing computing resource overhead.

The patent introduces an intermediary mapping structure (hash table or trie) that maps data keys to their physical storage locations in the segmented banks. This intermediary layer abstracts the physical reorganization of data from the logical ordering requirement, allowing the system to maintain ordered data access patterns without physically shifting data entries. The mapping structure enables direct navigation to data locations, eliminating repeated write and rewrite operations.

By dividing the data structure into multiple banks, the patent enables contiguous ordered storage within each bank while allowing non-contiguous physical distribution across banks. Data retrieval remains efficient because each bank maintains internal contiguity and ordering. Insertions and deletions only require operations within the affected bank, eliminating time-consuming shift operations across the entire data structure.

The patent transitions from a single-dimensional contiguous storage model to a multi-dimensional structure where data is organized both by bank (spatial dimension) and by order within bank (sequential dimension). This dimensional change allows the system to maintain retrieval efficiency through within-bank contiguity while avoiding shift operations through between-bank distribution.

The patent segments the memory space into multiple banks that can be independently allocated and managed. This segmentation allows the system to allocate only the necessary portion of memory banks based on the actual data population density. For sparsely populated data, not all banks need to be fully utilized or activated, improving memory space utilization while maintaining straightforward access patterns within the allocated banks.

The patent implements dynamic allocation and management of memory banks, where the system can adaptively activate or deactivate banks based on the current data population and access patterns. This dynamic approach allows the data structure to efficiently handle varying population densities, maintaining ease of operation for accessed data while optimizing memory space utilization by keeping inactive banks in a lower memory state or reallocating them as needed.