Cache Replacement Policies

Synthesis Lectures on Computer Architecture ◽

10.2200/s00922ed1v01y201905cac047 ◽

2019 ◽

Vol 14 (1) ◽

pp. 1-87

Author(s):

Akanksha Jain ◽

Calvin Lin

Keyword(s):

Cache Replacement ◽

Cache Replacement Policies

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Relative competitive analysis of cache replacement policies

ACM SIGPLAN Notices ◽

10.1145/1379023.1375665 ◽

2008 ◽

Vol 43 (7) ◽

pp. 51-60 ◽

Cited By ~ 2

Author(s):

Jan Reineke ◽

Daniel Grund

Keyword(s):

Competitive Analysis ◽

Cache Replacement ◽

Cache Replacement Policies

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Bandit-based Run-time Adaptation of Cache Replacement Policies in Content Management Systems

2020 Eighth International Symposium on Computing and Networking (CANDAR) ◽

10.1109/candar51075.2020.00017 ◽

2020 ◽

Author(s):

Srivattsan Sridharan ◽

Shravan Gaonkar ◽

Jose A. B. Fortes

Keyword(s):

Content Management ◽

Management Systems ◽

Cache Replacement ◽

Run Time ◽

Cache Replacement Policies ◽

Content Management Systems

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Accurate modeling of cache replacement policies in a data grid

20th IEEE/11th NASA Goddard Conference on Mass Storage Systems and Technologies, 2003. (MSST 2003). Proceedings. ◽

10.1109/mass.2003.1194831 ◽

2003 ◽

Cited By ~ 9

Author(s):

E. Otoo ◽

A. Shoshani

Keyword(s):

Data Grid ◽

Cache Replacement ◽

Cache Replacement Policies

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Analyzing different cache replacement policies on cloud

2015 International Conference on Industrial Instrumentation and Control (ICIC) ◽

10.1109/iic.2015.7150834 ◽

2015 ◽

Cited By ~ 2

Author(s):

Apurva A. Khandekar ◽

Sunil B. Mane

Keyword(s):

Cache Replacement ◽

Cache Replacement Policies

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The Empirical Discovery of Near-Optimal Offline Cache Replacement Policies for Nonuniform Objects

Recent Advances in Information and Communication Technology 2018 - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-319-93692-5_28 ◽

2018 ◽

pp. 286-296

Author(s):

Thepparit Banditwattanawong

Keyword(s):

Cache Replacement ◽

Empirical Discovery ◽

Cache Replacement Policies

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A Categorical Study on Cache Replacement Policies for Hierarchical Cache Memory

Applications of Internet of Things - Lecture Notes in Networks and Systems ◽

10.1007/978-981-15-6198-6_19 ◽

2020 ◽

pp. 201-211

Author(s):

Purnendu Das ◽

Bishwa Ranjan Roy

Keyword(s):

Cache Memory ◽

Cache Replacement ◽

Cache Replacement Policies

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On Evaluating the Influence of User’s Music Listening Habits on Cache Replacement Policies

2018 IEEE Symposium on Computers and Communications (ISCC) ◽

10.1109/iscc.2018.8538757 ◽

2018 ◽

Author(s):

Stefani S. Pires ◽

Adriana V. Ribeiro ◽

Antonio M. de Sousa ◽

Allan E. S. Freitas ◽

Leobino N. Sampaio

Keyword(s):

Music Listening ◽

Cache Replacement ◽

Listening Habits ◽

Cache Replacement Policies

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Instruction Cache Replacement Policies and Organizations

IEEE Transactions on Computers ◽

10.1109/tc.1985.1676566 ◽

1985 ◽

Vol C-34 (3) ◽

pp. 234-241 ◽

Cited By ~ 47

Author(s):

Smith ◽

Goodman

Keyword(s):

Cache Replacement ◽

Instruction Cache ◽

Cache Replacement Policies

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Exact and fast L1 cache configuration simulation for embedded systems with FIFO/PLRU cache replacement policies

Proceedings of 2011 International Symposium on VLSI Design, Automation and Test ◽

10.1109/vdat.2011.5783622 ◽

2011 ◽

Cited By ~ 3

Author(s):

Masashi Tawada ◽

Masao Yanagisawa ◽

Tatsuo Ohtsuki ◽

Nozomu Togawa

Keyword(s):

Embedded Systems ◽

Cache Replacement ◽

Configuration Simulation ◽

Cache Configuration ◽

Cache Replacement Policies

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An efficient Intelligent Cache Replacement Policy Suitable for PACS

International Journal of Machine Learning and Computing ◽

10.18178/ijmlc.2021.11.3.1043 ◽

2021 ◽

Vol 11 (3) ◽

pp. 250-255

Author(s):

Yinyin Wang ◽

◽

Yuwang Yang ◽

Qingguang Wang

Keyword(s):

Communication Systems ◽

Replacement Policy ◽

Support Vector ◽

Cache Replacement ◽

Cache Performance ◽

File Access ◽

Cache Replacement Policy ◽

Picture Archiving And Communication ◽

Intelligent Cache ◽

Cache Replacement Policies

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.

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