LR-LRU: A PACS-Oriented Intelligent Cache Replacement Policy
| Autor: | Ke Yaqi, Ye Lei, Yuwang Yang, Qingguang Wang, Yinyin Wang, Chen Han |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
LRU
Hardware_MEMORYSTRUCTURES hybrid storage General Computer Science Computer science logistic regression General Engineering 020206 networking & telecommunications 02 engineering and technology computer.software_genre Zero (linguistics) cache replacement policy 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing General Materials Science lcsh:Electrical engineering. Electronics. Nuclear engineering Data mining Cache PACS lcsh:TK1-9971 Cache algorithms computer |
| Zdroj: | IEEE Access, Vol 7, Pp 58073-58084 (2019) |
| ISSN: | 2169-3536 |
| DOI: | 10.1109/access.2019.2913961 |
| Popis: | An intelligent cache replacement policy suitable for picture archiving and communication systems (PACS) was proposed in this work. By combining the logistic regression (LR) algorithm with the classic least recently used (LRU) cache replacement policy, we have created a new intelligent cache replacement policy called LR-LRU. The LR-LRU policy is unlike conventional cache replacement policies, which are solely dependent on the intrinsic properties of the cached items. Our PACS-oriented LRLRU algorithm identifies the variables that affect file access probabilities by mining medical data. The LR algorithm is then used to model the future access probabilities of the cached items, thus improving cache performance. In addition, ℓ1-regularization was used to reduce the absolute values of the variables' coefficients. This screens some variables that have little influence on the model by causing their coefficients to approach zero, which achieves the effect of screening the variables. Finally, a simulation experiment was performed using the trace-driven simulation method. It was shown that the ℓ1-regularized LR model is superior to the LR and ℓ2-regularized LR models. The LR-LRU cache algorithm significantly improves PACS cache performance when compared to conventional cache replacement policies, such as LRU, LFU, SIZE, GDF, and GDSF. |
| Databáze: | OpenAIRE |
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