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Award ID contains: 2339901

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  1. ; ; ; (, USENIX 19th USENIX Symposium on Operating Systems Design and Implementation (OSDI'25))
    Tiered memory systems often rely on access frequency ("hotness") to guide data placement. However, hot data is not always performance-critical, limiting the effectiveness of hotness-based policies. We introduce amortized offcore latency (AOL), a novel metric that precisely captures the true performance impact of memory accesses by accounting for memory access latency and memory-level parallelism (MLP). Leveraging AOL, we present two powerful tiering mechanisms: SOAR, a profile-guided allocation policy that places objects based on their performance contribution, and ALTO, a lightweight page migration regulation policy to eliminate unnecessary migrations. SOAR and ALTO outperform four state-of-the-art tiering designs across a diverse set of workloads by up to 12.4\texttimes{}, while underperforming in a few cases by no more than 3\%. 
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    Free, publicly-accessible full text available July 9, 2026
  2. ; ; ; ; ; ; ; (, ACM)
    Free, publicly-accessible full text available March 30, 2026
  3. ; ; ; ; ; ; ; ; ; (, ACM)
    Free, publicly-accessible full text available February 28, 2026
  4. ; ; ; ; (, arXivorg)
    Accepted Manuscript Full Text Available