CTDGM: A Data Grouping Model Based on Cache Transaction for Unstructured Data Storage Systems

Understand

Cache prefetching technology has become the mainstream data access optimization strategy in the data centers.

• However, the rapidly increasing of unstructured data generates massive pairwise access relationships, which can result in a heavy computational burden for the existing prefetching model and lead to severe degradation in the performance of data access.
• We propose cache-transaction-based data grouping model (CTDGM) to solve the problems described above by optimizing the feature representation method and grouping efficiency.
• First, we provide the definition of the cache transaction and propose the method for extracting the cache transaction feature (CTF).