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Carra et al., 2020 - Google Patents

Efficient miss ratio curve computation for heterogeneous content popularity

Carra et al., 2020

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Document ID
6186367641882218514
Author
Carra D
Neglia G
Publication year
Publication venue
2020 USENIX Annual Technical Conference (USENIX ATC 20)

External Links

Snippet

The Miss Ratio Curve (MRC) represents a fundamental tool for cache performance profiling. Approximate methods based on sampling provide a low-complexity solution for MRC construction. Nevertheless, in this paper we show that, in case of content with a large …
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Classifications

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    • G06F12/02—Addressing or allocation; Relocation
    • G06F12/08—Addressing or allocation; Relocation in hierarchically structured memory systems, e.g. virtual memory systems
    • G06F12/12—Replacement control
    • G06F12/121—Replacement control using replacement algorithms
    • G06F12/122—Replacement control using replacement algorithms of the least frequently used [LFU] type, e.g. with individual count value
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    • G06F12/08—Addressing or allocation; Relocation in hierarchically structured memory systems, e.g. virtual memory systems
    • G06F12/0802—Addressing of a memory level in which the access to the desired data or data block requires associative addressing means, e.g. caches
    • G06F12/0862—Addressing of a memory level in which the access to the desired data or data block requires associative addressing means, e.g. caches with prefetch
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