Disaggregated Memory for File-backed Pages Article Swipe
Daegyu Han
,
J. W. Nam
,
Hokeun Cha
,
Changdae Kim
,
Kwangwon Koh
,
Taehoon Kim
,
Sang-Hoon Kim
,
Beomseok Nam
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1145/3736585
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1145/3736585
To explore the opportunity of expanding the page cache using disaggregated memory for file-backed pages, this study presents BalloonStasher, an RDMA-based disaggregated memory for data-intensive applications. Utilizing the ephemeral nature of the page cache, BalloonStasher dynamically adapts to the changing page cache demands of multiple clients. BalloonStasher supports one-sided RDMA-based memory pooling or two-sided RDMA-based memory sharing when using memory nodes. Additionally, it also supports peer memory mode, which utilizes the idle memory of peer nodes. Our extensive performance study compares the benefits and limitations of the three cache modes, and shows that BalloonStasher can mitigate the memory underutilization problem and improve the performance of data-intensive applications by a large margin.
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All OpenAlex metadata
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https://openalex.org/W4410564852Canonical identifier for this work in OpenAlex
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https://doi.org/10.1145/3736585Digital Object Identifier
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Disaggregated Memory for File-backed PagesWork title
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articleOpenAlex work type
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enPrimary language
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2025Year of publication
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2025-05-21Full publication date if available
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Daegyu Han, J. W. Nam, Hokeun Cha, Changdae Kim, Kwangwon Koh, Taehoon Kim, Sang-Hoon Kim, Beomseok NamList of authors in order
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https://doi.org/10.1145/3736585Publisher landing page
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hybridOpen access status per OpenAlex
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Computer science, Operating systemTop concepts (fields/topics) attached by OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.two-sided | 53 |
| abstract_inverted_index.RDMA-based | 20, 49, 54 |
| abstract_inverted_index.dynamically | 35 |
| abstract_inverted_index.file-backed | 13 |
| abstract_inverted_index.limitations | 84 |
| abstract_inverted_index.opportunity | 3 |
| abstract_inverted_index.performance | 78, 103 |
| abstract_inverted_index.applications | 106 |
| abstract_inverted_index.Additionally, | 61 |
| abstract_inverted_index.applications. | 25 |
| abstract_inverted_index.disaggregated | 10, 21 |
| abstract_inverted_index.BalloonStasher | 34, 46, 93 |
| abstract_inverted_index.data-intensive | 24, 105 |
| abstract_inverted_index.BalloonStasher, | 18 |
| abstract_inverted_index.underutilization | 98 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 8 |
| citation_normalized_percentile.value | 0.90959383 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |