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인공지능대학
컴퓨터공학과
Journal papers
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An efficient cache management algorithm for streaming workloads
Title
An efficient cache management algorithm for streaming workloads
Authors
Cho K.
;
Bahn H.
Ewha Authors
반효경
;
조경운
SCOPUS Author ID
반효경
; 조경운
Issue Date
2020
Journal Title
International Journal of Networking and Virtual Organisations
ISSN
1470-9503
Citation
International Journal of Networking and Virtual Organisations vol. 22, no. 4, pp. 402 - 414
Keywords
Buffer caching
;
Cache hit ratio
;
Caching algorithm
;
I/O bandwidth
;
Interval caching
;
LRU algorithm
;
Sequential access
;
Streaming workload
Publisher
Inderscience Publishers
Indexed
SCOPUS
Document Type
Article
Abstract
In this paper, we present a novel cache management algorithm for real-world streaming workloads. Streaming workloads are believed to exhibit very large and sequential access patterns, which has been the main consideration in designing media caching algorithms. However, legacy caching algorithms do not fully utilise fine-grained access patterns of streaming workloads and also tend to ignore human interactivity. In this paper, we present the least expectation first (LEF) algorithm, which manages a large number of block caches as two-level grouping. Specifically, we select caching and eviction targets based on the expected gain of the cached data blocks, thereby improving the cache hit ratio significantly. Experimental results show that the proposed algorithm performs better than well-known interval caching and LRU algorithms with respect to the hit ratio and the I/O bandwidth. Copyright © 2020 Inderscience Enterprises Ltd.
DOI
10.1504/IJNVO.2020.107574
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