2024/05/28 by Vadim Voevodkin, A. Sokolov, Voevodkin, Vadim +1
Computer Science · #Data Mining Algorithms and Applications #Databases (cs.DB) #FOS: Computer and information sciences #Mobile Agent-Based Network Management #Network Security and Intrusion Detection
paper · pdf · doi:10.48550/arxiv.2405.18450
openalex publication_date 2024/05/28 · openalex created_date 2024/05/31 · openalex updated_date 2026/07/28
Modern storage systems intensively utilize data prefetching algorithms while processing sequences of the read requests. Performance of the prefetching algorithm (for instance increase of the cache hit ratio of the cache system - CHR) directly affects overall performance characteristics of the storage system (read latency, IOPS, etc.). There are widely known prefetching algorithms that are focused on the discovery of the sequential patterns in the stream of requests. This study examines a family of prefetching algorithms that is focused on mining of the pseudo random (sporadic) patterns between read requests - sporadic prefetching algorithms. The key contribution of this paper is that it discovers a new, lightweight family of distance-based sporadic prefetching algorithms (DBSP) that outperforms the best previously known results on MSR traces collection.Another important contribution of this paper is a thorough description of the procedure for comparing the performance of sporadic prefetchers.