Abstract—An efficient intelligent cache replacement policy
suitable for picture archiving and communication systems
(PACS) was proposed in this work. By combining the Support
vector machine (SVM) with the classic least recently used (LRU)
cache replacement policy, we have created a new intelligent
cache replacement policy called SVM-LRU. The SVM-LRU
policy is unlike conventional cache replacement policies, which
are solely dependent on the intrinsic properties of the cached
items. Our PACS-oriented SVM-LRU algorithm identifies the
variables that affect file access probabilities by mining medical
data. The SVM algorithm is then used to model the future access
probabilities of the cached items, thus improving cache
performance. Finally, a simulation experiment was performed
using the trace-driven simulation method. It was shown that the
SVM-LRU cache algorithm significantly improves PACS cache
performance when compared to conventional cache replacement
policies like LRU, LFU, SIZE and GDS.
Index Terms—PACS, cache replacement policy, SVM, hybrid Storage.
Yinyin Wang and Yuwang Yang are with the School of Computer Science and Engineering, Nanjing University of Science and Technology, China (e-mail: email@example.com, firstname.lastname@example.org).
Qingguang Wang is with the Yancheng 1st People’s Hospital and Medical School of Nantong University, China (e-mail: email@example.com).
Cite: Yinyin Wang, Yuwang Yang, and Qingguang Wang, "An efficient Intelligent Cache Replacement Policy Suitable for PACS," International Journal of Machine Learning and Computing vol. 11, no. 3, pp. 250-255, 2021.Copyright © 2021 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).