Computer Science > Databases
[Submitted on 28 May 2024 (v1), last revised 13 Jun 2024 (this version, v2)]
Title:Distance based prefetching algorithms for mining of the sporadic requests associations
View PDF HTML (experimental)Abstract: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 this http URL important contribution of this paper is a thorough description of the procedure for comparing the performance of sporadic prefetchers.
Submission history
From: Vadim Voevodkin [view email][v1] Tue, 28 May 2024 06:37:25 UTC (7,012 KB)
[v2] Thu, 13 Jun 2024 06:54:38 UTC (7,012 KB)
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